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Forward Deployed AI Engineer
webAI
101-200
United States
Full-time
Remote
false
About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role: As a Forward Deployed AI Engineer at webAI, you will be on the front lines of integrating cutting-edge AI solutions into real-world enterprise environments. You will work directly with customers to understand their needs, deploy AI systems into their infrastructure, and ensure high performance and reliability at scale. You’ll help bridge the gap between research, engineering, and operations—playing a pivotal role in building the future of edge AI.This role will require a minimum of 25% travel, including occasional on-site work at customer locations to support deployment, troubleshooting, and integration of our platform within enterprise environments.Key Responsibilities:Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments.Debug and optimize data pipelines and AI systems running on customer networks.Translate complex, often ambiguous customer requirements into well-scoped technical solutions.Work across the stack—from model inference on consumer hardware to infrastructure automation.Read hardware schematics/logs to identify performance bottlenecks and suggest improvements.Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally.Contribute feedback and insight to internal teams to continuously improve product robustness and usability.Required Skills & Qualifications:5+ years of combined experience in software engineering and machine learning.Proven track record of deploying and maintaining machine learning/AI systems in production.Strong expertise in MLX and/or PyTorch.Experience debugging complex systems involving data pipelines, model inference, and hardware interaction.Exceptional communication skills; able to challenge vague requirements and turn them into actionable plans.Comfortable working in dynamic environments with high customer exposure.Preferred Qualifications:Experience deploying models on edge devices or consumer hardware.Familiarity with distributed systems, DevOps tooling, and performance tuning.Prior experience in a customer-facing engineering role.Knowledge of privacy-preserving AI and secure compute environments.Master’s degree in a relevant technical discipline.
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFree parking, for in-office employeesUnlimited Approved PTOParental, Bereavement LeaveSupplemental Life Insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-07-30 15:05
AI Engineer
Maincode
11-50
Australia
Full-time
Remote
false
Maincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is building from first principles.As an AI/ML Engineer, you’ll be part of the team that makes this real. You’ll work on both sides of the problem: how models are trained and how they run in the world. You’ll design and build the systems that power large-scale training runs and efficient inference. You’ll work closely with our AI Researchers to implement the latest algorithms and ideas.This is a deep engineering role. You’ll be writing a lot of code, instrumenting systems, optimizing performance, and debugging weird, messy edge cases in distributed training and model serving. If you love figuring out how foundation models really work under the hood, this is your team.What you’ll doBuild and scale training pipelines for sovereign foundation models like large language models and other architecturesDesign efficient inference systems that run these models in real-world environmentsOptimize data pipelines, tokenization, batch prep, and distributed training at multi-node scaleBuild deep observability into training and inference, improving performance, correctness, and efficiencyDebug and troubleshoot the hardest parts of model training and deployment, including distributed failures, GPU bugs, data inconsistencies, and scaling limitsWork closely with AI Researchers to translate cutting-edge algorithms into working systemsEstablish strong ModelOps practices to ensure reproducibility, reliability, and continuous improvement across the full lifecycle of foundation models, from initial experiments to production deploymentWho you arePassionate about how models are built, trained, and run, especially large-scale foundation modelsDriven by curiosity about model internals, training dynamics, and system-level performanceExcited to work across both training and inference, not just one side of the ML stackSkilled in Python and ML frameworks like PyTorch or JAX. Familiarity with distributed compute (CUDA, Triton, NCCL, etc.) is a bonus but not requiredConstantly learning, whether it’s reading open-source repos, replicating research ideas, or designing your own tools to explore a problemHands-on and determined. You like writing code, running experiments, and figuring things outMotivated to help build sovereign AI capability here in AustraliaWhy MaincodeWe are a small team building some of the most advanced AI systems in Australia. We are creating new foundation models from scratch, not just using what’s already out there.We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible.You'll be surrounded by people who:Care about model internals, not just outputsBuild things that work, at scaleTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems
Machine Learning Engineer
Data Science & Analytics
2025-07-30 15:05
Staff Software Engineer, Backend
PathAI
201-500
United States
Full-time
Remote
true
Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. What You’ll Do Solve complex backend challenges using high-quality code Design, build, maintain, and evolve scalable backend services and APIs (e.g., FastAPI, Django REST) Define and own the architecture of large components and platforms Collaborate closely with ML, product, frontend, and infrastructure teams to deliver end-to-end systems Maintain excellence in testing, CI/CD, and code reviews Mentor senior and mid-level engineers, promoting best practices Contribute to software regulated as medical devices, ensuring quality and compliance What You’ll Need Bachelor’s degree in CS or equivalent experience 5+ years in backend development (full lifecycle delivery) Strong experience with FastAPI and/or Django REST framework Solid grasp of data structures, algorithms, and system design Experience with cloud-native systems (AWS preferred), containerization, and orchestration (e.g., Docker, Kubernetes) Proficiency with CI/CD platforms (e.g., GitLab CI, Docker pipelines) We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. #LI-Remote
Software Engineer
Software Engineering
2025-07-30 15:05
Platform Architect
webAI
101-200
United States
Full-time
Remote
false
About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:We are seeking a visionary Platform Architect to lead core architectural decisions across our distributed AI stack — from runtime orchestration, through application interfaces, to mesh-aware networking. This is role lives at the intersection of systems architecture, AI infrastructure, and distributed computing. You will define, validate, and evolve the technical blueprint that powers webAI’s intelligent mesh and ensures it scales with enterprise-grade resilience, security, and performance.Key Responsibilities:End-to-End Architecture:
Own the design and evolution of the platform architecture across the runtime, application, and mesh-network layers. Prioritize modularity, composability, and real-world deployability.AI Runtime Design:
Define and build high-performance runtimes, including task scheduling, memory management, and hardware abstraction for heterogeneous environments (CPU, GPU, NPU). Contribute to or integrate frameworks like ONNX, TensorRT, or custom inference stacks.Networking Layer:
Architect resilient peer-to-peer communication and mesh networking systems across diverse radios (Wi-Fi, Bluetooth, WebRTC, etc.), including device discovery, data synchronization, and fault tolerance.Security & Observability:
Embed zero-trust principles, encryption at rest and in transit, signed inference, and platform-level logging, monitoring, and diagnostics by design.Technical Leadership:
Serve as a technical mentor for engineering teams, validate architectural choices, conduct design reviews, and collaborate with stakeholders to ensure alignment with product vision and performance requirements.Required Skills & Qualifications:Experience:10+ years of relevant experience in systems architecture, distributed computing, or AI infrastructure, with a proven track record designing and scaling production-grade distributed platforms. We require depth of experience and demonstrated impact over tenure.AI Runtime DesignExperience building or contributing to high-performance runtimes (ONNX, TensorRT, custom runtimes).Task scheduling, memory management, hardware abstraction (CPU, GPU, NPU).Tooling & Stack PreferencesSystems programming in Rust, Go, or C++ (must-have: not just Python or web dev).Bonus: experience with federated learning, agent communication, MPC, or privacy-preserving computation.Understanding of real-time, low-latency, and resource-constrained environments.Networking LayerCross-radio P2P communication (Wi-Fi, Bluetooth, WebRTC, etc).Device discovery, resilient mesh networking, and data synchronization.Security & ObservabilityFamiliarity with zero-trust models, signed inference, encryption at rest & in transit.Build-in logging, monitoring, and platform-level diagnostics.We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-07-30 15:05
Senior Software Engineer
Delve
11-50
United States
Full-time
Remote
false
About DelveDelve is building an AI-native platform that transforms compliance from tedious, manual work into effortless, automated workflows.We’re the fastest growing compliance company on the market. Delve helps hundreds of companies save hundreds of hours (e.g. Lovable, 11x, WisprFlow) by eliminating busywork and helping teams focus on what matters — building securely.Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our $32M Series A and are scaling quickly.Our team includes former founders, Olympiad medalists, and engineers from OpenAI, Stanford, MIT, and Berkeley. We’re on a mission to eliminate busywork for humanity — starting with compliance.About the RoleWe’re hiring a Senior Full-Stack Engineer to own major product initiatives end-to-end. You’ll work across React, TypeScript, Node.js, and Postgres to ship high-impact features that power AI-driven workflows and core user experiences.You’ll get high-level product direction and be trusted to lead implementation — from system design to launch — while mentoring other engineers and helping shape the future of the platform.This is a role for someone who thrives in ambiguity, unblocks themselves and others, and brings strong judgment to the table. You know how to balance fast iteration with long-term quality, and you’re ready to help level up the team around you.What You’ll DoLead system design and architecture for core features and infrastructureShip full-stack product features across our core app and AI-powered workflowsMentor and pair with junior and mid-level engineers; foster a culture of technical excellenceTranslate high-level product goals into scalable backend and frontend implementationsMake smart tradeoffs in speed, scope, and UX — without excessive handholdingCollaborate closely with engineers, product, and design to move quickly and stay alignedTouch every part of the stack: React, Next.js, Node.js, Postgres, ORM toolsOwn major product areas and be accountable for their reliability, performance, and extensibilityWhat We’re Looking For5–7+ years of experience building production-grade productsStrong technical breadth across the stack — React, TypeScript, TailwindCSS, Node.js, PostgresDeep experience with system design and architecture decisions in fast-moving environmentsA track record of ownership: you've led complex features or systems end-to-endPassion for mentoring and sharing knowledge with teammatesExcellent product sense: you understand what good UX looks like and how to deliver itHigh agency, low ego: you move fast, ask smart questions, and lift the team around youWhy In-Person SF MattersYou’ll work shoulder-to-shoulder with an exceptional team:Ex-Stanford, MIT, and Berkeley engineers with dozens of papersInternational Olympiad winners and medalistsEx-OpenAI engineers with 10+ years of domain expertise for mentorshipFormer founders who’ve closed $500k in revenue at 19 and hired 40+ peopleDecisions happen live, not in backlogged async threadsA players work with A players. There’s a buzzing energy in the office. Hit the whiteboard with anyone here and you’ll understand why.Benefits100% medical, dental & vision coverage (for you; partial for dependents)401k with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesThe opportunity to eliminate busywork for humanityJoin UsIf you want to build real features fast, shape the system under the hood, and mentor the next generation of engineers — all with a world-class team — apply now.
Software Engineer
Software Engineering
2025-07-30 15:05
Applied AI Engineer
Delve
11-50
United States
Full-time
Remote
false
Applied AI Engineer (In-Person, San Francisco)About UsDelve is building an AI-native platform that transforms compliance from tedious, manual work into effortless, automated workflows.We’re the fastest growing compliance company on the market. Delve helps 100s of companies save 100s of hours (e.g. Lovable, 11x, WisprFlow) by eliminating compliance busywork and helping them focus on what matters — securely supporting their customers.Our team is a tight-knit group of builders—former founders, operators, and engineers—obsessed with solving real problems for real customers. We come from Stanford, MIT, Berkeley, OpenAI, and international olympiads. Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our 32M Series A and are scaling quickly!One step at a time, we’re on a mission to eliminate busywork for humanity.Role OverviewAs an Applied AI Engineer, you will play a pivotal role in bringing the latest AI research into production. In this role, your focus will be on turning state-of-the-art techniques into tangible products. You’ll collaborate closely with product engineers to design, implement, and deploy AI-driven features end-to-end. This is a high-impact role where you’ll own projects from idea to production, and your contributions will directly shape our product and technical trajectory.You will collaborate with a world-class team of engineers with research background to build innovative, scalable systems. As part of our fast-paced startup, you’ll have the opportunity to influence technical direction, contribute ideas across the stack, and rapidly grow into taking more leadership as we scale. We value first-principles thinking and a get-things-done attitude – you will have broad autonomy to experiment and iterate in pursuit of the best solutions.What you will doDrive AI Innovation: Research, prototype, and build cutting-edge product, and customer facing AI Systems, pushing the state-of-the-art to solve our core technical challenges.
End-to-End Development: Design, implement, and deploy AI pipelines and systems—from evaluation design and benchmarking through product integration—ensuring high performance, reliable production observability, and end-to-end safety and transparency.
Collaborate & Iterate: Collaborate with backend engineers and product engineers to turn cutting-edge ideas into production-ready solutions—rapidly iterating on experiment data and user feedback, and applying a rigorous scientific approach to refine models and algorithms.
Technical Leadership: Contribute to technical decision-making and architectural discussions for AI components. Uphold high engineering standards and share best practices in code reviews and design discussions.
Continuous Learning: Stay up-to-date with the latest research and developments in AI. Evaluate new approaches or tools, and drive their adoption when they can advance our capabilities.
What we are looking forStrong AI Fundamentals: Deep understanding of Test Time Compute Techniques, Deep Learning Frameworks, Unsupervised Scaling Methods, and Autonomous Data Collection Methods.
Proven Technical Excellence: Demonstrated ability to build and deploy AI solutions. This could be anything ether industry experience or exceptional project/research work (publications, open-source contributions, competition wins, etc.) – we care about quality of experience over quantity.
Programming Skills: Preferably extensive Python experience.
Problem-Solving & Math: Outstanding problem-solving skills, with a creative and analytical mindset. Strong foundation in mathematics (linear algebra, calculus, probability) and comfort with reading research papers when needed.
Communication & Collaboration: Excellent communication skills. You can clearly articulate complex technical concepts to team members and actively listen and incorporate feedback. You work well in a team, value open discussion, and thrive in a fast-moving, meritocratic environment where everyone is encouraged to voice ideas and concerns.
Why In-Person SF MattersYou’ll work shoulder-to-shoulder with an exceptional team:Ex-Stanford, MIT, and Berkeley engineers with dozens of papersInternational Olympiad winners and medalistsEx-OpenAI engineers with 10+ years of domain expertise for mentorshipEx-Google Deepmind engineersFormer founders who’ve closed $500k in revenue at 19 and hired 40+ peopleDecisions happen live, not in backlogged async threadsA players work with A players. There’s a buzzing energy in the office. Hit the whiteboard with anyone here and you’ll understand why.Why Join UsImpact & Ownership: As an early employee, you’ll have a massive impact on our product and culture. You will own significant projects from day one and see your work directly affect the company’s success.
Learning & Growth: Work alongside some of the brightest minds in AI and software engineering. Our team’s pedigree and our culture of continuous improvement will accelerate your personal and professional growth. We challenge each other to grow every day and support learning in areas you’re passionate about.
Meritocratic Culture: We reward results and initiative. Hard work and innovation are recognized – high performers can expect rapid advancement in responsibility and role. You’ll have the chance to shape your role and even define new ones as the company scales.
Competitive Compensation: We offer a compelling salary, meaningful equity, and benefits. You’ll share in the upside of the company’s success.
Cutting-Edge Work: You’ll be tackling unsolved problems and using the latest techniques in AI. If you love building bold, novel solutions instead of following the status quo, you’ll fit right in.
Mission-Driven Team: Join a team that is passionate, driven, and believes in the positive impact of technology. We’re in this to build something that matters.
Benefits100% medical, dental & vision coverage (for you; partial for dependents)401k with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesThe opportunity to eliminate busywork for humanity
Machine Learning Engineer
Data Science & Analytics
2025-07-30 15:05
Machine Learning Engineer III, Digital Diagnostics
PathAI
201-500
No items found.
Full-time
Remote
true
Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit We are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services. What You’ll Do Independently lead the planning and execution of machine learning model development for research and product development projects with ML best practices Contributes towards internal product and translational research experiment design, ideation, analysis, documentation and experimental plans Understands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fit Demonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product development Engaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML Stewards, WiML, Journal Club, Maintaining and creation of documentation) Identify technical gaps, propose and initiate new projects by articulating rationale and experimental plans that translate technical improvements into business impact Actively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding. Actively support scientific strategy with abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes. What You Bring To be successful in this role with us, you'll at least need: Master’s degree plus 3-4 years of professional experience or Ph. D. in Computer Science, Computational Biology or related field, preferably with a focus on artificial intelligence and machine learning 3-4 years of experience in developing and deploying state-of-the art machine learning models in products Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skills Strong track record with the overall machine learning and computer vision model development process including data pipelines, model training, evaluation and deployment. Publications or research in fields related to artificial intelligence and biomedical science is strongly preferred Strong communication skills. Intellectual curiosity and the ability to learn quickly in a complex space We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
Machine Learning Engineer
Data Science & Analytics
Computer Vision Engineer
Software Engineering
2025-07-30 15:05
Create Your Own Role
Delve
11-50
United States
Full-time
Remote
false
About Delve
Delve is on a mission to eliminate busywork for humanity by turning compliance from a manual grind into an effortless, automated partnership. Trusted by over 500+ fast‑growing companies—like Lovable, 11x, and WisprFlow—we save them hundreds of hours and help them build securely.We’re the fastest-growing compliance startup in the world. Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our $32M Series A and are scaling quickly. Our team includes Olympiad medalists, former founders, engineers from OpenAI, Stanford, MIT, and Berkeley—and some of the most talented builders you’ll ever meet.We’re not just solving compliance. We’re redefining how machines and humans partner to turn ambiguity into action. If you're hungry to work with the best and do your life's most meaningful work—keep reading.Don’t See the Perfect Role? Build It.
Some people don’t fit into boxes. They break them—and build better ones.At Delve, we hire exceptional people, not just resumes. If you're the kind of person who makes things happen—whether you’re an engineer, designer, GTM operator, GRC expert, AI researcher, or something else entirely—we want to hear from you.This is a build-your-own-role opportunity for generational talent: the kind of person who raises the bar just by showing up. If you’re brilliant, ambitious, and relentlessly resourceful, Delve is the place where you’ll thrive.What You’ll Do (or Could Do)
This role is intentionally open-ended. You tell us what your superpower is and how you’ll apply it at Delve. Some examples:Build AI-native workflows that help the fastest-growing startups pass audits without lifting a fingerRedesign the way humans interface with regulatory frameworks using automation and intelligenceLead strategic initiatives that scale our GTM motion 10x faster than the marketClose complex deals with CISOs and CTOs by deeply understanding their security stackArchitect systems that process millions of records securely and reliablyDefine how we scale policy development, risk management, and evidence collection across thousands of customersPartner directly with founders on product strategy, customer acquisition, or operationsYou’ll work side-by-side with a high-caliber team across functions—and be trusted to move fast, own problems, and drive outcomes.Who You AreYou’re in the top 1% of your field—people look to you when things get hardYou’ve built, shipped, led, or invented things that most people wouldn’t even tryYou crave ownership, seek out ambiguity, and never wait for permission to actYou’re a systems thinker, a fast learner, and a generous teammateYou want to be surrounded by people who push you to do the best work of your lifeYou believe that great companies are built by a small group of exceptional people moving quicklyBonus points if you’ve founded something, medaled in a competition, published something novel, led a team, built a product users love—or just done something weird and impressive.Why Delve?
Delve isn’t just a startup—it’s a rocket ship. If you’re tired of slow-moving orgs, status games, or 9-to-5 checkboxes, you’ll feel at home here. We’re building fast, dreaming bigger, and moving toward a world where compliance (and beyond) is radically easier for every company on the planet.You’ll get:A seat at the table as we redefine an entire categoryThe opportunity to solve real problems for real customers—fastA team that’s as ambitious and mission-driven as you areIn-person energy (SF HQ) or remote flexibility—your callThe comp, equity, and benefits to focus on doing your best workBenefits100% medical, dental & vision coverage (you); partial for dependents401(k) with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesAnd most importantly: the opportunity to do the most meaningful work of your careerApply If You’re Exceptional
We’re not trying to fill seats. We’re trying to build a legendary team.
If you’ve always felt a little out of place because you were dreaming bigger or moving faster than those around you — we built this company for you.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
Data Engineer
Data Science & Analytics
DevOps Engineer
Data Science & Analytics
Product Manager
Product & Operations
2025-07-30 15:05
Deployment Strategist
HappyRobot
51-100
United States
Full-time
Remote
false
About HappyRobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demo Our AI workers connect to any system or data source to handle phone calls, email, messages…We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.We raised a Series A round from a16z and YC and we’re growing very fast.We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.Role OverviewAs a Deployment Strategist, your mission is to connect the dots between user needs, data insights, and product capabilities to help our customers unlock value. You’ll dive deep into our customer operations, partner directly with end users and decision-makers, and shape how HappyRobot’s technology is applied to their most critical challenges.What You’ll doPartnering with customers to understand their workflows, goals, and pain points—often embedding directly with their teams.Collaborating with Forward Deployment Engineers to scope, prototype, and deliver solutions powered by HappyRobot’s platform.Identifying and interpreting key datasets that drive customer decision-making, and working to integrate them into robust, scalable pipelines.Designing and refining user workflows that solve meaningful problems and scale across teams and functions.Leading training and onboarding sessions, ensuring new users are set up for success and our tools have lasting impact.Presenting findings and strategy to stakeholders at all levels—from frontline operators to executives.Driving customer expansion by scoping new use cases and shaping how we grow our footprint within organizations.What We’re Looking ForWe’re looking for analytical, product-savvy problem solvers who thrive in ambiguity and care deeply about user impact. You might be a great fit if:You have a strong intuition for how software can solve real-world problems.You're a compelling communicator and can influence technical and non-technical audiences alike.You're excited to work shoulder-to-shoulder with customers, from the frontlines to the boardroom.You love diving into messy data, complex systems, and open-ended challenges—and delivering clarity and structure.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Comprehensive Benefits - Healthcare, dental, vision coverage.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles
Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos”
Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus
Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy
Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking
Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
Implementation Lead
Software Engineering
Project Manager
Product & Operations
2025-07-30 15:05
AI Researcher
Maincode
11-50
Australia
Full-time
Remote
false
Maincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is building new systems from first principles.As an AI Researcher, you’ll help design the next generation of foundation models. You'll explore novel model architectures, training objectives, and data representations that push the limits of what models can do. You’ll ask the hard questions: where do today’s systems fall short in reasoning, learning efficiency, or alignment, and how could we do better? Then, you'll prototype solutions to find out.This is a deep applied research role. You'll write code to test your ideas, run experiments, and refine architectures until they show real-world potential. When your models are ready to scale, you’ll work side by side with our AI Engineers to take them from prototypes to large-scale training runs and deployed systems.If you love reading the latest papers, imagining what could be better, and proving it with working models, you'll feel right at home here.What you’ll doDesign and prototype new foundation model architectures, reasoning systems, and training algorithmsExplore better ways to represent data, design training objectives, and build models that reason, learn, and align more effectivelyBuild experimental models and pipelines to test your ideas on real-world dataStay deeply engaged with state-of-the-art research in venues like NeurIPS, ICLR, and ICML, and think critically about where the field is heading and how we can push it furtherWork closely with AI Engineers to transition prototypes into large-scale training and inference systemsHelp shape the intellectual direction of our sovereign AI efforts in Australia, advancing the science of how models learn and reasonContribute to a collaborative, open-minded team culture that values rigor, creativity, and building things that workWho you areAn experienced researcher with deep academic or applied horsepower, whether from machine learning, physics, neuroscience, applied mathematics, or another rigorous fieldHave built, trained, or experimented with deep learning models and are deeply curious about how to make them betterA regular reader and thinker in AI and machine learning research, with the ability to spot emerging trends, gaps in today’s models, and new directions to exploreSkilled in Python and machine learning frameworks like PyTorch, with a strong focus on hands-on experimentationComfortable turning abstract research questions into concrete model designs, experiments, and insightsExcited to work closely with AI Engineers to translate research into robust, scalable systemsMotivated to help build sovereign AI capability here in AustraliaWhy MaincodeWe are a small team building some of the most advanced AI systems in Australia. We are creating new foundation models from scratch, not just using what’s already out there.We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible.You'll be surrounded by people who:Care about model internals, not just outputsBuild things that work, at scaleTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems
Research Scientist
Product & Operations
Machine Learning Engineer
Data Science & Analytics
2025-07-30 15:05
Lead AI Engineer
Distyl
101-200
United States
Full-time
Remote
false
Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What We Are Looking For: At Distyl we're deploying production LLM systems for our F500 clients largest workflows. This requires exceptional engineers who are going to push the boundaries of what is possible with LLM solutions.Lead AI Engineers at Distyl operate as the CTO of an engagement with a F500 customer, taking ownership of the project’s technical direction. They have a vision for the future and aren’t afraid to pitch bold ideas to F500 Enterprise Architects. From there, they lead a team of engineers to fundamentally transform how their customer operates. Always looking to grow, they’re driven by a passion for mastering their craft and excited to take on leadership roles that shape the future of AI.Key Responsibilities:Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.Qualifications:Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.What We Offer:An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.Competitive salary and benefits package, including equity options and healthcare.Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.A collaborative and intellectually stimulating environment that encourages innovation and personal growth.If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Lead AI engineer and help us shape the future of AI-driven solutions for enterprises across the globe.Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-07-30 7:35
Infrastructure Engineer
Tandem
1001-5000
United States
Full-time
Remote
false
Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs an Infrastructure Engineer at Tandem, you’ll be our first dedicated hire focused on infrastructure and developer experience. You’ll own and evolve the core systems that make our engineering team faster, our platform more reliable, and our company more scalable. This role sits at the foundation of everything we build — from AI product development to partner integrations to high-stakes, high-throughput operations.You’ll have the opportunity to define our foundational infra practices — from CI/CD to observability to cloud architecture — and set the tone for how we scale. You’ll work across infrastructure, DevOps, and developer productivity, building systems that let us move fast without compromising stability or clarity.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Design and evolve CI/CD pipelines to improve speed, safety, and developer experienceScale and maintain core infrastructure — including Kubernetes clusters, PostgreSQL databases, ephemeral browsers, and data replication workflowsBuild and own our monitoring, alerting, and observability systems to ensure platform reliability and uptimeIntegrate AI-powered development tools to streamline engineering workflowsAnalyze and control cloud infrastructure spend while maintaining performance and reliabilityImprove internal tooling and developer environments to unblock execution at every layerPartner with engineering and product teams to anticipate scaling challenges and harden critical systemsWe’ll be most excited if you:Experience in infrastructure, DevOps, or SRE roles at fast-moving, product-driven tech companiesHands-on experience with cloud infrastructure (we use AWS; GCP and Azure are nice to have)Proficiency with infrastructure-as-code tooling (Terraform preferred)Deep familiarity with containerization and orchestration (Docker, Kubernetes)Experience with observability and monitoring systems (e.g., Grafana, Datadog)Proven ability to design and improve CI/CD pipelines (we use GitHub Actions)High NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
DevOps Engineer
Data Science & Analytics
Software Engineer
Software Engineering
2025-07-30 7:20
AI/ML Engineer
Brain Co
1-10
United States
Full-time
Remote
true
About Brain Co.Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If You:Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOCompensationThe salary range for this role is $155,000 to $265,500 for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Brain Co.'s total compensation package for employees. Other benefits may include stock options, an unlimited paid time off policy, and coverage on medical, vision and dental insurance.
Machine Learning Engineer
Data Science & Analytics
2025-07-30 7:20
Software Engineer, Edge Applications
Haydenai
101-200
United States
Full-time
Remote
true
About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.What the job involvesAs a member of the Hayden Software Engineering org you will help build our next generation product for enforcing School Bus Stop safety. This team is developing edge-based vehicle detection and tracking AI models. This is a C++ software engineering generalist role. You will be delivering high quality C++ code that runs on edge devices.You will build and improve the accuracy of ML / CV models, including refining open-source models to solve Hayden-specific problems.Expect to collaborate with Product Management to translate customer needs to software solutions.Hayden is a startup. You will be working in an ambiguous, fast-paced environment.As Hayden begins an organizational scale-up phase, we need to build a rock-solid foundation. That means delivering well-designed and well-tested code that can be shared across the organization.ResponsibilitiesDeliver bullet-proof, rigorously tested C++ code.Iterate on our suite of real-time vehicle tracking and license plate reading systems.Refine and optimize cloud-side image and video processing.Deep dive into performance optimization, focusing on algorithms specifically for the Nvidia Jetson architecture.Enhance the infrastructure and tooling used for performance analysis, ensuring efficient development cycles.QualificationsBachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field.Background in Machine Learning, Image Processing, Computer Vision, or a similar field.Minimum 2 years of industry experience.Strong programming proficiency in C++.Past experience collaborating with other software engineers. Hayden is beginning a scale-up process within the organization. We need people who can function in a larger organization. Ways to stand outIn-depth knowledge and experience with embedded systems development.Familiarity with CUDA/OpenCL programming and video processing pipelines.Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).Familiarity managing data processing and machine learning code via GitHub.Experience with iOS or Android mobile application development beyond UI.Experience with ROS or other robotics systems.
Software Engineer
Software Engineering
Computer Vision Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
2025-07-30 7:20
Medior Backend Engineer, Enterprise Success
Hiya
201-500
No items found.
Full-time
Remote
false
About UsAt Hiya, we’re revolutionizing voice communication. Our mission is to modernize voice with intelligence for security and productivitySince 2015, when we introduced the first mobile caller ID and spam-blocking apps, we’ve been at the forefront of voice intelligence innovation. In 2016, we partnered with Samsung and AT&T to launch Hiya Protect, the first network-based spam-blocking solution. In 2019, we introduced Hiya Connect, a branded call SaaS platform that helps businesses reach more customers by phone.Today, our Voice Intelligence Platform supports over 500 million users globally. By using adaptive AI and audio intelligence, it delivers smarter, safer, and more productive voice calls across networks, apps, and devices. Our network & solution partners have grown to include British Telecom, EE, Virgin Media O2, Ericsson, Rogers, Bell Canada, MasMovil, Telenor, FICO, Twilio, and more.About the PositionThe Medior Backend Engineer is an Individual contributor position responsible for designing, coding and operating high performance data processing systems and backend services on the JVM platform (primarily Scala) for our phone call processing pipeline and customer facing web applications. Our ideal candidate would have the skills and desire to understand our entire stack, from our cloud platform (AWS) through data storage technologies (such as DynamoDB, Redshift) and stream processing (Kafka) all the way to Scala/Typelevel stack based components.What You’ll DoWork at a supportive and fast-growing startup with a fantastic team.Make an impact in the lives of tens of millions of consumers.Collaborate and learn from other great team members.Support in developing your skills and accelerating your careerFully own the systems developed by your team, taking part in deployment and operations (on-call rotations where applicable)Qualities that will make you successful:Experience or interest in functional programming in a typed setting;Understanding customer needs first and providing solutions primarily based on thatA desire to own design and architecture end to end;A philosophy of iteration and continuous improvement;BSc or M.S in a relevant field; 2-3+ years relevant work experience, please note, this is a medior role.Familiar with data storage- and processing systems (such as Postresql, Amazon DynamoDB, Amazon Redshift, Apache Spark);Proficient at collaborating and communicating with both local and remote team members in English and HungarianThe person in this role must embody Hiya’s key values of Serving our customers, Doing rather than observing, Improving ourselves and our business, Owning and holding ourselves accountable for success, and Leading by showing up with a point of view, engaging in open discussion, listening respectfully to others opinions and committing to decisions.The requirements listed in the job descriptions are guidelines. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable we would still love to hear from you.More DetailsWhen determining compensation, a number of factors will be considered: skills, experience, job scope, location, and competitive compensation market data.Start Date: ImmediatelyStatus: Full-timeType: (Hybrid, 2 days per week in office (Tuesday, Thursday)Location: BudapestTravel Requirements: noDepartment: EngineeringReports to: Engineering managerDirect Reports: No BenefitsPrivate Retirement/Pension programGenerali Private Health CareDonation Matching for a charity of your choice (up to $500/ year)WFH equipment stipend$1,000/year in Professional Development fundsOnline English ClassesGym membershipFlexible working model (2 days a week, Tuesdays and Thursday is required in the office. In the rest of the month you decide whether you are working from home or from the office.)This position is based in Budapest, Hungary.We are building a team with a variety of perspectives, identities, and professional experiences. We evaluate great candidates through a business lens and we strongly believe that diversity and unique perspectives make our company stronger, more dynamic, and a great place to build a career.Our team has won various awards over the last 4 years from Built-in Seattle and Seattle Business Week to #86 on Deloitte Technology Fast 500 and Forbes #1 Startup Employer. Here at Hiya, we are a people-centric company focused on helping each and every one of our employees grow both personally and professionally. We feel that creating a team culture of support and empowerment to challenge the status quo results in an energized and passionate team that is continuously challenged and passionate about the work they are doing. You'll love working here if you are looking for an innovative challenge that is disrupting an industry. Come join us!
Software Engineer
Software Engineering
Data Engineer
Data Science & Analytics
2025-07-30 7:20
Staff Data Engineer
Thoughtful
101-200
United States
Full-time
Remote
true
Join Our Mission to Revolutionize Healthcare Thoughtful is pioneering a new approach to automation for all healthcare providers! Our AI-powered Revenue Cycle Automation platform enables the healthcare industry to automate and improve its core business operations. We're looking for Staff Data Engineers to help scale and strengthen our data platform. Our data stack today consists of Aurora RDS, AWS Glue, Apache Iceberg, S3 (Parquet), Spark and Athena - supporting a range of use cases from operational reporting to downstream services. We’re looking to grow the team with engineers who can help improve performance, increase reliability, and expand the platform's capabilities as our data volume and complexity continue to grow. You’ll work closely with other engineers to evolve our existing pipelines, improve observability and data quality, and enable faster, more flexible access to data across the company. The platform is deployed on AWS using OpenTofu, and we’re looking for engineers who bring strong cloud infrastructure fundamentals alongside deep experience in data engineering. Your Role: Build: Develop and maintain data pipelines and transformations across the stack. Starting from ingesting transactional data into the data lakehouse to refining data up the medallion data architecture. Optimize: Tune performance, storage layout, and cost-efficiency across our data storage and query engines. Extend: Help design and implement new data ingestion patterns and improve platform observability and reliability. Collaborate: Partner with engineering, product, and operations teams to deliver well-structured, trustworthy data for diverse use cases. Contribute: Help establish and evolve best practices for our data infrastructure, from pipeline design to OpenTofu-managed resource provisioning. Secure: Help design and implement a data governance strategy to secure our data lakehouse. Your Qualifications: 8-10+ years of experience building and maintaining data pipelines in production environments Strong knowledge of the data lakehouse ecosystem, with an emphasis on AWS data services - particularly Glue, S3, Athena/Trino/PrestoDB, and Aurora Proficiency in Python, Spark and Athena/Trino/PrestoDB for data transformation and orchestration Experience managing infrastructure with OpenTofu/Terraform or other Infrastructure-as-Code tools Solid understanding of data modeling, partitioning strategies, schema evolution, and performance tuning Comfortable working with cloud-native data pipelines and batch processing (streaming experience is a plus but not required) What Sets You Apart: Systems thinker - you understand the tradeoffs in data architecture and design for long-term stability and clarity Outcome-driven - you focus on building useful, maintainable systems that serve real business needs Strong collaborator - you're comfortable working across teams and surfacing data requirements early Practical and hands-on - able to dive into logs, schemas, and IAM policies when needed Thoughtful contributor - committed to improving code quality, developer experience, and documentation across the board Why Thoughtful? Competitive compensation Equity participation: Employee Stock Options. Health benefits: Comprehensive medical, dental, and vision insurance. Time off: Generous leave policies and paid company holidays. California Salary Range $190,000—$250,000 USD
Data Engineer
Data Science & Analytics
2025-07-30 7:20
Partner Success Director, Commercial and Enterprise
Abridge
201-500
United States
Full-time
Remote
true
About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleAs a Partner Success Director at Abridge, you will play a vital role in ensuring the satisfaction, adoption, and expansion of our solutions within our customers. You will be a core member of the commercial team and work closely with clinicians, administrators, and key stakeholders to understand their needs, provide ongoing support and guidance, and drive the successful utilization and expansion of our products and services.What You’ll DoClinician Success:Build and maintain strong relationships with clinicians and healthcare professionals across enterprise customers.Act as a trusted advisor to clinicians, offering guidance and best practices to enhance their productivity, efficiency, and patient outcomes.Understand user workflows, pain points, and objectives to align our solutions with their needs.Provide product training and onboarding support to clinicians, ensuring a smooth transition and optimal utilization of our solutions.Proactively identify and address any issues or concerns raised by clinicians, collaborating with internal teams to provide timely resolutions.Monitor and track clinician satisfaction and adoption rates, proactively identifying opportunities for improvement and driving engagement initiatives.Customer Expansion:Collaborate with the sales team to identify expansion opportunities with existing customers, outlining goals, milestones, and action plans.Conduct regular business reviews with key stakeholders to assess product performance, user feedback, and identify opportunities for additional value-add solutions.Present new features, upgrades, and solutions to clients, highlighting their potential benefits and ROI.Track customer expansion metrics and contribute to revenue growth targets.Partner Success Advocacy:Support all clinician users and serve as the voice of the customer internally, sharing insights, feedback, and success stories to drive product and service improvements.Collaborate with cross-functional teams, including sales, marketing, and product, to deliver a seamless customer experience.Contribute to the development of partner success resources, such as knowledge bases, training materials, and partner success stories.What You’ll BringProven experience as a Customer/Partner Success Director or Customer Success/Partner Manager5+ years of experience working in or with enterprise health systemsStrong understanding of the healthcare ecosystem, including the dynamics and challenges faced by large health enterprises and clinicians.Excellent communication and interpersonal skills, with the ability to build trust and establish rapport with clinicians and stakeholders at all levels.Technical aptitude and ability to quickly understand and effectively communicate complex software solutions.Strong problem-solving skills, with a proactive and results-oriented mindset.Ability to multitask and manage multiple client relationships simultaneously.Familiarity with CRM software and customer success tools is a plus.Strong organizational and project management capabilities.***This role requires up to 20% travel***Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
Project Manager
Product & Operations
2025-07-30 7:20
AI Solutions Manager
Arize AI
101-200
United States
Full-time
Remote
true
The Opportunity AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. The Team Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. As an AI Solutions Manager, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management. Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding and new functionality Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively monitor product usage across your accounts to further gauge account health Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies. Effectively relay customer feature requests to internal teams and advocate for customer needs. Ensure support teams are aligned with customer requests and priorities. What We’re Looking For 3+ years of experience as a Customer Success Manager in SaaS. A self-starter mindset with the ability to thrive in limited process environments. Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively. Strong communication skills for articulating observations and fostering collaboration across teams. Proven ability to demo technical products and translate their value into tailored customer solutions. Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results. A strong team player who values collaboration and collective success. Bonus: Familiarity with AI/ML workflows or GenAI technologies. The estimated annual salary and variable compensation for this role is between $100,000 to $150,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world. Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup
Project Manager
Product & Operations
2025-07-30 7:20
Forward Deployed Engineer
Automat
11-50
United States
Full-time
Remote
false
Who is Automat?Automat was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung’s innovation Think Tank Team. We envision a future where intelligent agents streamline business operations — and one day, run their own enterprises. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications.We value curiosity, collaboration, and impact above rigid requirements. If you're excited about AI and automation, thrive in flexible, creative environments, and want to work on meaningful, pioneering projects, this role is for you.
The Role
A Forward-deployed Engineer (FDE) interfaces directly with our customers and solves their pain points through effective implementation of Automat’s technology. Using our tools, you will design the automation stack that our customers rely on for their core business operations and drive their topline revenue.This role is inherently cross-functional - you’ll often act as the bridge between product, engineering, and customer teams. It is as important to be comfortable with sales conversations and identifying upsell opportunities as it is to understand Automat’s suite of AI-powered agentic automation and document processing. As an FDE, you will apply creativity and problem-solving to help customers drive real-world business impact through automation.
What you’ll doWork across the stack and be multi-disciplinaryWear multiple hats; one day, you will prototype a new stealth browsing technique, and the next, optimize a pipeline for intelligent document understandingThink high levels by aligning automation strategies with the goals of the entire organizationThink creatively about how autonomous agents can reshape business operations, infrastructure, and edge-case handlingWhat drives youSolving people's problems and building trust with customersSupporting customer pain points and demoing product capabilitiesCollaborating in teams of both technical and non-technical members in a dynamic environmentAnalyzing and solving difficult technical problems in AI, data structures, and other technical toolsWhat’s in your toolboxExcellent communication and collaboration skillsCustomer-facing technical experience (e.g., sales engineering or pre-sales) and strong interpersonal skillsThe ability to work across cloud platforms (GCP preferred)Familiarity with LLMs is a plus.Full-stack engineering experience, especially with Node.js, TypeScript, REST APIs, frontend frameworks, non-relational databases (e.g., Firebase), and tools like Docker and Playwright.What we are looking forAbility to work in fast-moving, collaborative teamsA commercial mindset to recognize the customer’s pain points as a technical and business opportunityExperience in startups or other dynamic, high-growth settings1-6+ years of experience working as an IC in a collaborative environmentWhy Join Automat: Join a dynamic, early-stage startup positioned at the forefront of generative AI-driven automation. You'll play a pivotal role in accelerating our growth trajectory, collaborating closely with visionary enterprise clients, and shaping the future of intelligent automation. Automat offers competitive compensation, equity, and the opportunity to profoundly impact the automation landscape.
Software Engineer
Software Engineering
2025-07-30 7:20
Senior Software Engineer, Voice
Ada
201-500
Canada
Full-time
Remote
true
About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Engineering at Ada Everyone at Ada is an “Ada Owner”, this refers not just to the fact that you share in the equity, but also the expectation we have of you, and the agency you are given, to influence and shape our technical roadmap. True to our value of “Always Be Improving”, we are a team of folks who have the drive to grow themselves, and others around them, resulting in a challenging, but fulfilling environment. With AI and LLMs central to our business, staying proficient and evolving alongside advancements in this field is crucial for success. Our Role As a Senior Software Engineer on our Voice team, you will be working with internal and external stakeholders, product managers, and designers to execute Ada’s roadmap to deliver a best-in-class voice experience for our customers. Our team is focused on making it as easy as possible for Ada to be deployed in all the channels where our customers and their end users are having conversations. About You 5+ years of experience as a Software Engineer and proficient with backend technologies (with a strong preference for Python) Understanding of databases such as MongoDB, PostgreSQL, ElasticSearch and in-memory stores such as Redis Experience with 3rd party LLMs, such as GPT, Azure, Anthropic etc. A good understanding and direct experience with CCaaS, SIP, WebRTC, IVR, and Telephony ecosystems, including knowledge of VoIP protocols and contact centre technologies is a benefit. Experience deploying code and strong developer operations Experience working with public APIs to build reliable third-party integrations Collaborative leadership style to help the team grow and deliver high quality code Outcomes Execute on our ambitious product roadmap Provide your perspective and ideas to help level up our current development practices Review the team’s code, provide insightful feedback, foster collaborative community and teach everyone something new Ensure that the team is providing the best AI Agent platform experience to our internal developers and external partners Participate in an on-call rotation for the services the team owns, triaging and addressing production issues The expected salary range for this position is $135,000 - $170,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.
The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.
Software Engineer
Software Engineering
2025-07-30 7:20
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