Find AI Work That Works for You

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Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Ensure “Send me your Delphi” becomes as common as “Drop your LinkedIn.”Preserve legacies, unlock opportunities, and scale brilliance across generations.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!The RoleAs our AI Engineer, you will architect and implement improvements to the backbone of our Delphi mind architecture. The architecture is powered by knowledge graphs that capture information about the person as well as their associations, reasoning patterns, and conceptual frameworks that make each mind unique.Unlike traditional RAG systems that treat knowledge as a flat collection of documents, we’re building rich, hierarchical representations that mirror how human experts think and reason.What You’ll DoGraph Architecture & Design: design scalable knowledge graph architectures, develop novel embeddings to capture nuanced relationships, and build efficient indexing and retrieval for real-time querying.Evals for the Mind: defining the core components of the human mind, building strong mind architectures, giving customers confidence their minds improve over time, and advancing tone and style transfer to better reflect individuality.RAG System Innovation: build next-generation RAG systems that merge graph-based reasoning with neural retrieval and include robust evaluation frameworks to optimize quality across query types.Infrastructure & Scaling: scale infrastructure to support distributed, low-latency graph operations across thousands of instances with comprehensive monitoring and debugging tools.What You BringExpertise in building evals and fine-tuning models.Deep experience with retrieval-augmented generation, including both traditional and graph-based systems.Strong background in neural-symbolic approaches that combine reasoning with learning.Proven ability to design and scale distributed graph processing systems.Proficiency in Python and graph frameworks such as Neo4j, DGL, and PyG.Track record of translating academic research into production-ready systems.First-principles thinker, able to tackle novel technical challenges without established playbooks.Why You'll Love It Here Ambition: Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.Extreme upside: Very competitive salary and equity in a company on a breakout trajectory.Unlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.In-person collaboration: Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

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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 an Exceptional Principal Support Engineer to transform our support operations. As a critical member of our support organization, you will serve as the diagnostic expert and escalation point between our Customer Support Agents and Solutions Engineers. You'll bring enterprise-level troubleshooting expertise to complex customer issues, mentor the team on diagnostic methodologies, and help us scale our support capabilities to match our rapid growth. Your work will directly impact customer satisfaction and enable healthcare organizations to operate more efficiently. Your Role: Diagnose: Lead comprehensive technical investigations using advanced troubleshooting methodologies (log analysis, network diagnostics, performance profiling) Resolve: Handle all support activities from Tier 1 through Tier 3, excluding code changes, serving as the primary escalation point for complex issues Mentor: Develop and train the support team on diagnostic best practices, creating playbooks and standardized troubleshooting procedures Collaborate: Work closely with CSAs, Solutions Engineers, and Forward Deployed Engineers to ensure smooth handoffs and efficient issue resolution Optimize: Identify patterns in support issues to drive process improvements and preventive measures Document: Create and maintain comprehensive troubleshooting guides, knowledge base articles, and root cause analyses Your Qualifications: 5+ years of enterprise technical support experience in complex, distributed systems environments Expert-level diagnostic skills including: System and application log analysis Performance troubleshooting and profiling Network diagnostics (packet analysis, latency troubleshooting) API and integration troubleshooting Proven track record of handling critical escalations and reducing resolution times Understanding of distributed systems, microservices architectures, and API integrations Excellent communication skills - ability to explain complex technical issues to both technical and non-technical audiences Familiarity with monitoring and observability tools (DataDog, New Relic, ELK stack, or similar) Working knowledge of scripting for automation (Python, Bash, or similar) - not required to write production code Mentorship experience - demonstrated success in upskilling technical teams What Sets You Apart: Healthcare IT experience - Understanding of healthcare systems, HIPAA regulations, and healthcare data standards (HL7, FHIR) AI/ML exposure - Familiarity with AI/ML systems and their unique troubleshooting requirements Python familiarity - Ability to read and understand Python code for diagnostic purposes Process improvement mindset - Track record of implementing scalable support processes Data-driven approach - Experience using metrics to drive support improvements Crisis management - Proven ability to lead during high-pressure customer escalations Why Thoughtful? Competitive compensation aligned with senior support engineering market rates Equity participation: Employee Stock Options Health benefits: Comprehensive medical, dental, and vision insurance Time off: Generous leave policies and paid company holidays Impact: Direct influence on support strategy and team development Growth: Opportunity to build and lead as we scaleCalifornia Salary Range $120,000—$160,000 USD

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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. The Vanta Vendor Risk team is developing a next-generation, AI-powered vendor risk management solution that enables larger organizations to effectively evaluate and manage the security and risk associated with third-party suppliers.We’re seeking a strategic Staff Product Manager to drive the development of innovative solutions that empower customers to assess and manage their suppliers' security, compliance, and risk. In this role, you will lead the evolution of our VRM core product, focused on building durable, enterprise-grade workflows and automations that streamline the risk review process for growing enterprises.You’ll join a small but growing team of PMs, playing a critical role in shaping both Vanta’s product strategy and our product team’s culture. If you’re passionate about building impactful, customer-focused products and thrive in a high-growth environment, we’d love to connect with you!What we value most is a deep commitment to delivering value, curiosity, and a drive for building solutions that resonate with customers. In this role, you’ll work closely with engineering, design, and cross-functional stakeholders to set a differentiated roadmap that maximizes customer impact and strengthens Vanta’s market position.What you’ll do as a Staff Product Manager at Vanta:In this role, you will be at the forefront of Vanta’s product strategy, delivering innovative solutions and expanding VRM’s capabilities to meet customer needs for integrated, automated, and customized workflows. Key responsibilities include:Define and Execute Product Strategy: Develop and implement a strategy and roadmap for the VRM team, prioritizing features that address core customer needs and allow for scalable, flexible, and automated workflow.Customer-Focused Discovery: Lead research initiatives to understand the challenges our customers face in vendor risk management. Gather insights from direct outreach and build solutions that address their most pressing issues.Enterprise Readiness: Define and deliver Vanta’s vision for scaling VRM to the largest enterprises in the world and building a next generation TPRM product. Oversee the full product lifecycle, from initial ideation through launch. Balance immediate needs with long-term strategic goals and navigate complex trade-offs.Collaborate Cross-Functionally: Partner with Engineering, Design, and GTM teams to ensure solutions are valuable, feasible, and user-friendly.Market Expansion and AI Strategy: Explore and integrate relevant data sources and AI/ML capabilities to enable more proactive, automated risk management.Design durable product systems (object models, workflows) that simplify complexity and scale across enterprise programs.Drive execution and trade-off decisions with conviction, ensuring progress even in high-ambiguity environments.How to be successful in this role:10+ Years in Product Management: Proven experience leading product strategy and managing teams in high-growth, B2B SaaS environments.Customer Empathy and Discovery Skills: A deeply customer-centric approach, with a proactive attitude toward understanding user needs and market gaps.Framework and Systems thinking: Strong ability to navigate ambiguity and make structured decisions to balance complex trade-offs. Experience with building 0-1 products and scaling them into new greenfield areas.Project Execution and Prioritization: Strong decision-maker with a bias to action, comfortable driving tough trade-offs in ambiguous, high-stakes environments.Interest in Security and AI/ML: Familiarity with or enthusiasm for the security space and a desire to explore how AI/ML can power vendor risk management solutions.Join us to lead the next phase of Vanta’s Vendor Risk Management product and make a meaningful impact on how companies secure their data and grow with confidence.What you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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About Augment Augment Code is an AI coding and collaboration assistant built for teams working in large, complex codebases. Our vision is to automate all parts of the software development lifecycle (SDLC) with Agents, helping enterprises move faster, improve code quality, and keep developers in flow. We already power developers at leading companies, and we’re just getting started. As enterprise adoption accelerates, we’re looking for a Product Manager, Enterprise to champion enterprise needs inside Augment and unlock the next wave of adoption. About the Role As Product Manager, Enterprise, your mission is simple: maximize adoption of Augment within the enterprise. You’ll partner closely with customers to understand their workflows, challenges, and aspirations—and then work with engineering, design, and GTM to translate those insights into product capabilities and strategies that help enterprises reimagine their SDLC with Agents. You’ll be the voice of the enterprise inside Augment, ensuring that everything we build—from product features to pricing to rollout strategies—delivers lasting value to organizations with complex needs. This role is ideal for someone who thrives at the intersection of technical depth, enterprise empathy, and strategic execution. What You’ll Focus On Enterprise adoption & expansion: Design the roadmap and features that make Augment indispensable to large organizations—from onboarding at scale to compliance, governance, and advanced collaboration use cases. Enterprise workflows with Agents: Partner with enterprises to pilot new agentic workflows across the SDLC (e.g., code review, incident response, migrations, compliance automation). Cross-functional leadership: Collaborate tightly with engineering, design, GTM, and customer success to champion enterprise needs, prioritize tradeoffs, and execute on adoption-critical features. Go-to-market strategy: Own enterprise positioning, packaging, and deployment strategies in partnership with GTM leadership. Customer closeness: Spend significant time with enterprise partners, understanding their environments and co-designing workflows that unlock real business value. Responsibilities Define and execute the vision and strategy for enterprise adoption of Augment Identify, prioritize, and deliver features that drive enterprise value and sustainable growth Own the enterprise GTM strategy in partnership with sales and marketing Translate customer insights into product requirements, workflows, and adoption levers Act as the internal champion for enterprise, influencing product and company direction You Might Be a Good Fit If You Have 5+ years of product management experience, ideally with enterprise SaaS and/or developer tools Bring a technical background (experience with developer platforms, AI/ML, or infrastructure products is a plus) and can work closely with engineering on deeply technical products Have a track record of driving adoption in enterprise settings, from launching new products to scaling adoption across large organizations Are equally comfortable with customer conversations, internal roadmap debates, and executive strategy discussions Love working directly with developers and enterprise stakeholders to solve their toughest challenges Thrive in a fast-paced, ambiguous environment, balancing short-term adoption wins with long-term enterprise vision Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$200,000—$300,000 USD

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. The Opportunity: Unlocking the Future of Robotics The future of robotics—from autonomous logistics and precision agriculture to surgical assistance and human-robot collaboration—is fundamentally bottlenecked by the availability of high-quality, high-fidelity training data. The physical world is infinitely complex, and capturing its nuance is the single greatest challenge holding back progress. To solve this, Labelbox is building an advanced robotics lab and software stack designed to generate pristine, structured data for the world's leading robotics companies.  We are seeking a visionary and operationally-driven leader to be the founding head of this critical initiative. As the Head of Robotics Data, you will be the single-threaded owner responsible for taking this program from its early stages to a scaled, potentially 24/7 operation. You will sit at the intersection of hardware engineering, software development, complex operations, and deep customer partnership, building the Robotics lab that powers the next generation of intelligent machines. Your Impact Strategic & Operational Leadership: Own the end-to-end vision and strategy for the Roboticslab. You will build and lead a high-performing, multidisciplinary team of engineers, operators, and technicians, fostering a culture of excellence, innovation, and urgency. Build a World-Class Data Factory: Architect, implement, and scale a robust 24/7 operational framework for data generation. You will develop rigorous processes, KPIs, monitoring, and automation to ensure unparalleled uptime, efficiency, and data integrity. Your goal is to build a machine that builds the data. Customer Obsession & Partnership: Serve as the primary technical and operational partner for our strategic robotics customers. You will work hand-in-hand with their engineering leaders to deeply understand their data requirements, quality bars, and cost constraints, translating them into actionable production targets and ensuring we consistently exceed their expectations. Technical Vision & Roadmap: Drive the technical roadmap across both hardware (robotics hardware, sensors, compute infrastructure) and software (data acquisition pipelines, processing workflows, quality control tools). You will partner with our core engineering teams to integrate this capability seamlessly into the Labelbox platform. Scale from 1 to N: You will be responsible for scaling every aspect of the program, from physical facility expansion and hardware procurement to software automation and global workforce planning. You will create the playbook that allows us to replicate and expand this capability to meet ever-growing customer demand. What You Bring A minimum of 10+ years of experience in a technical field, with at least 5+ years in a senior leadership role managing engineering, product, or operational teams. Proven track record of scaling complex, capital-intensive, 24/7 operations that involve a tight coupling of hardware, software, and human processes (e.g., manufacturing, data centers, advanced R&D labs, logistics/fulfillment). Deep expertise in the robotics domain. You should be comfortable discussing the intricacies of sensor modalities (LiDAR, stereo cameras, IMUs), data formats, and robotics software stacks (e.g., ROS). Demonstrated ability to own a technical and product roadmap, making difficult trade-offs between competing priorities in a fast-paced environment. Exceptional customer-facing skills with experience acting as a trusted technical advisor to external partners and executive stakeholders. A "first principles" thinker who is equally comfortable debugging a hardware issue on the floor, writing a strategic 3-year plan, or presenting to our executive team. BS or MS in Robotics, Mechanical Engineering, Computer Science, or a related technical field. Bonus Points Direct experience building or managing data collection/generation systems for machine learning. Experience in a specific robotics vertical such as autonomous vehicles, logistics automation, or manufacturing. Familiarity with the machine learning data lifecycle, including annotation, data quality, and model evaluation. If you are a builder who is passionate about robotics and wants to solve one of the most significant challenges in the AI industry today, we would love to hear from you.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$230,000—$280,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read. This is true both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos.  Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the job We’re looking for a Principal Product Manager to help shape the future of video creation within our platform.   Your work will democratise the video creation process and bring the magic of video communication to areas of the enterprise not previously possible.  Think of it as an opportunity to enable a paradigm shift in video creation & consumption; today users find complexity & editing challenges, whereas we see a future where anyone can sit in the directors chair and bring a vision to life while removed from the day-to-day complexity of video production.   Our platform is used by a community of passionate users, from freelancers, to content creators working in Fortune 500 companies. You will need to deeply understand the needs of our community, users, and customers and stay on top of the latest developments in the generative video & avatar space to shape your own product area.  The Video Creation capabilities you'll own are at the core of our product experience. You'll help us identify the use cases to prioritize for video creation and then build a unified creation experience that blends RAG, fine-tuned LLMs, and other ML-systems working in orchestration along with the features within our Editor. You’ll shape a macro UX experience that shifts users away from the micro-level editing that is common in video production today wile owning the core creative experience.  You’ll find high agency, autonomy, and an opportunity for impact regardless of the product area.  Requirements: 7+ years of experience managing world-class products. Customer obsession.  Strong product opinions and taste - not shying away from proposing solutions based on your intuition and experience. Ability to think at a high level about product strategy and bridge business goals with technical considerations. Ability to take ownership of the end-to-end idea to product process and work as a self-directed member of the development team. Strong UX focus and understanding of human behaviour. Proven track record of shipping impactful products across a broad product surface. Outstanding communication skills. An understanding of the complexities found within video editing and creation.  Ability to be an outstanding cross-functional partner; from Engineering, to Design, Sales, Customer Support, and anyone else that will enable you to ship impactful product.  Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Benefits: 💸 You will be compensated well with a generous salary and equity.  📍 Flexible, hybrid role based from one of our London, Copenhagen, Munich, Zurich, or Amsterdam offices or remote across Europe.  🏝 You get 25 days of annual leave + local holidays. 🧑‍🧑‍🧒 Regular team offsites where you’ll get to collaborate with the product & engineering team in person.  🖥️ Work from home budget  🌍 Work from anywhere policy of 60 days per year 🥳 You will join an established company culture with regular socials. 👉 You can participate in a generous referral scheme.  🚀 Huge opportunity for a career defining role as we go from a series D scale-up with strong PMF to the next phase of growth.   Our Hiring Process You can check out this video for an overview on what to expect during process.     

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are seeking an Imaging Software Engineer to design and implement the different image correction and stabilization algorithms (wobble correction, rectification, …) for various optical payloads for UAVs. These algorithms will be optimized to run efficiently on dedicated embedded hardware.ResponsibilitiesDesign of Electronic Image Stabilization (EIS) algorithms, including:Wobble correctionRotation residuals correctionImage rectificationMulti-camera blending and stitchingImplementation of experimental setup for EIS measurementImplementation on dedicated hardware (ISP / DSP / GPU)Candidate RequirementsEducational Background: MSc in Computer Science, Optical Engineering, or related fields. A PhD in Computer Science, Computer Vision, or Optics is a plus.At least 4 years of experience in algorithmic design for image processing (Computer Vision, Image Stabilization, etc…)Experience with low-level hardware acceleration (GPU / DSP)Extensive culture in robotics visionExperience with drone cameras is a huge plus, experience with embedded systems is a plusExcellent level of Python and C/C++ is requiredExcellent written and verbal communicationCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business.Job Description:Articul8 AI is seeking an exceptional Senior/Staff AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for conducting cutting-edge research to advance the capabilities of our AI systems. Your role will involve designing, implementing, and evaluating novel approaches to improve our GenAI models, working at the intersection of GenAI research and product development.Responsibilities:Serve as the subject matter expert in various domains of GenAI research and development, including:Data pipelines: Design and optimize data processing workflows for large-scale model trainingTraining methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniquesReinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasksMultimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalitiesPersonalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendationsKnowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval.Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impact.Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market.Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals.Required Qualifications:Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field.Professional experience: 5+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 2+ years should be on actively developing GenAI technologies).Core technical skills:Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.A strong background in parallel/distributed computing on the cloud.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:Experience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journals.Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team.

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As an AI Researcher at Vatic Labs in Abu Dhabi, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover and capitalize on trading opportunities. The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth. If you possess all or most of the following, we would love to explore what is available for you with our team: Earned or will earn a Master’s or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science. Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks. Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary. Ability to generate impactful research in academic or professional pursuits. Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc. Interest and enthusiasm for learning about financial markets (previous experience not required). At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another.

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Vatic is looking for an AI engineer in Abu Dhabi with proven experience with large foundational models.  Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.  As an AI Engineer you will: Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.  Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures. play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis. We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.   If you possess the following, we would love to explore what is available for you with our team: Keen interest in training, evaluation, understanding, and innovation of foundational models Advanced proficiency with Python development in a Linux environment Strong understanding of machine learning, deep learning, and generative AI methods and technologies Direct experience with multi-GPU model training Demonstrable success building high performance software Performance tuning/optimization of software and algorithms Familiarity with parallel computing models and frameworks Strong analytical and problem-solving skills A passion for trading, research, and technology Excitement and interest in using readily available open source technologies and prototypes Excellent communication skills Confident team player motivated by a fast-paced environment At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another.

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What 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.We encourage anyone to apply - we think talent, passion and your unique perspective can outweigh years of experience. We are really looking for someone who can hit the ground running on day one and contribute at a rapid pace, while also being someone from whom we ourselves can learn from.The RoleWe're looking for a product minded Full Stack Software Engineer who thrives at the intersection of product, engineering, and experimentation. We’re a small talented team still in the early days, and your contributions will go beyond just code. You’ll have the opportunity to actively shape technical solutions, influence product direction, and contribute meaningfully to all aspects of our engineering culture.In this role, you'll collaborate closely with forward-deployed engineers as they support complex customer deployments, all while developing the scalable and robust foundational product which makes their work possible. You’re perfect for this role if you appreciate an elegant balance between UX excellence and infrastructural scalability.What You'll Do:Collaborate with our forward deploy team to understand how customers interact with Automat’s platform today, and use those learnings to bolster our flagship workflow management product.Build interfaces that use cutting-edge computer use models in real world applications.Develop beautiful and intuitive UX interfaces which abstract away complex business automation processes and create a seamless experience for non-technical users and engineers alikeInfluence our engineering practices, shape product direction, and contribute to building a world class company culture.What drives youCuriosity, creativity, and a relentless desire to learn and adapt to changing technologiesBuilding apps that bring AI to life in meaningful waysWorking in fast-moving, collaborative teams made up of engineers with diverse backgroundsExcitement about the power of rapidly developing with AI tools, with a healthy skepticism for their veracityWhat’s in your toolboxHacker mindset - you know when to ship out functional v0 by any means necessary and don’t pixel peep for no reasonProficiency in Python and TypescriptExperience building with modern web frameworks (Next.js, Svelte kit, React) and extensive experience working with REST APIsRobust background building complex architectures from the ground up, ranging from hacked together prototypes to scalable enterprise solutions.Experience using AI tools effectively (e.g. Cursor, Windsurf, lovable, etc.)What we are looking forTop notch communication and collaboration skillsComfort navigating ambiguity and wearing multiple hatsPassion for creating intuitive, user-friendly experiencesProactive mindset and high initiative, with a bias toward actionAn intrinsic desire to leave things better than you found themExperience as an IC in startups or other dynamic, high-growth setting

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Our Creator team is a group of physically capable individuals who are at the forefront of our operations, collecting new data to train Helix, our AI system, through wearing sensor hardware. They collect training data by performing specific physical tasks, review and grade the data they collect, and communicate key issues to / process improvements. We are looking for a Data Creator Manager to run our daily data collection operations for scaling Helix. Responsibilities: Build, train and lead Figure’s Creator team, providing direction, guidance, and support to ensure the achievement of data collection goals and targets. Manage day-to-day frontline operations, ensuring smooth workflows and high uptime. Oversee management of sensor hardware inventory and data uploading. Accountable for data collection performance metrics.  Coordinate to drive implementation of new data collection procedures and maintain documentation for procedures. Develop onboarding and ongoing training documentation for new hires. Train and mentor team members to ensure they are equipped with the necessary skills and knowledge to perform their roles effectively.  May involve standing for long periods, supervising shifts, and responding to urgent operational issues. Elevate opportunities for process improvement and work to define creative solutions to improve KPIs. Requirements:  5+ years experience leading a highly skilled team in a fast paced environment, including hiring, performance managing, and mentoring junior team members. Excellent problem-solving and decision-making abilities. Experience operating and troubleshooting early-stage technologies. Excellent communication skills especially using data.  Able to work well under pressure while managing competing, time-sensitive demands. Proficiency in Google Workspace (e.g., Sheets) and operational management tools. Bonus Qualifications: Experience with robotics or AI data collection. 10+ years experience leading skilled teams operating complex technology. A passion for helping scale the deployment of learning humanoid robots. The US base salary range for this full-time position is between $140,000 - $180,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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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 Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs an Implementation Manager - Strategic Accounts at Abridge, you will play a critical role in ensuring the successful deployment and implementation of Abridge products and services with our customers. You will be the primary point of contact for our valued partners and you will be the driving force behind seamless project execution. You’ll use your exceptional communication skills as you work closely with internal and external stakeholders to deliver projects on time, while exceeding the needs and expectations of our users. Ideally, you thrive in a startup environment, specifically with a culture that’s built on seeing obstacles as opportunities, having a bias toward execution, being a little nerdy and perpetually curious, and helping teammates succeed. What You'll DoLead customer implementations and serve as the primary point of contact for Abridge's partners during their initial deployments. Be the person who instills confidence + trust in our partners and team, drives on-time implementations with high NPS, and ensures our pilots convert to full enterprise partnerships.Own the creation, coordination, and execution of project plans, in collaboration with internal and external cross-functional teams.Accountable for leading through each of the project phases, including kickoffs, technical configuration, testing, clinician training, go-live, and post-live stabilization.Identify and manage project risks and issues, and develop contingency plans as needed.Set the standard for what incredible communication looks like. Communicate project progress and issues to internal and external stakeholders in a timely and transparent manner.Develop and execute against comprehensive testing plans with our most strategic partners, including tracking all issues, triaging, and driving towards daily testing goals.Collaborate with support and operational management to identify and implement areas for process and tool improvements in a dynamic and growing environment.Participate in the creation of repeatable processes that will scale with the growing number of concurrent implementations our team will need to support.What You'll BringHave a track record of driving successful healthcare technology implementation projects from initiation to completion.Excel at communication and can synthesize information in a concise way.Are extremely organized and detail oriented. You’re able to manage multiple priorities at once, while maintaining attention to detail and quality.Can work with speed and are results driven. You seek continuous process improvement, driven by efficiency. Your role will involve rapid decision-making, quick execution, and maintaining an unwavering commitment to precision and quality in every aspect of implementation.Build strong relationships with various stakeholders at our partner sites, to ensure a long lasting partnership. Have the ability to smell smoke and escalate early, with proposed solutions.Are creative and scrappy with strong problem solving skills, tactful conflict resolution skills, and a bias to action.Have 3+ years of experience in project management, with a focus on software deployment and implementation at B2B companies.Experience implementing electronic record systems and leading through build and testing phases. (Epic is a definite plus.) Bonus points if...Familiarity with systems requiring strict adherence to privacy and security protocols.Knowledge of tiered support organizations and escalation protocols.***This role requires up to 20% travel******This role must be based in the Pacific time zone*** We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.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!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.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. 

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About HappyrobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demoOur 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’re thrilled to share that with our $44M Series B, HappyRobot has now raised a total of $62M — backed by leading investors who believe in our mission and vision for the future.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.About the RoleBuild foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.Build and maintain robust data pipelines and models to ensure data quality.Partner with Product, Engineering, and Design teams to inform decisions.Translate complex data into clear, actionable insights for product teams.Love working with data. Love making product better. Love finding the story behind the numbers.ResponsibilitiesDefine, build, and maintain product metrics, dashboards, and pipelines.Write SQL and Python code to extract, transform, and analyze data.Design and run experiments (A/B tests) to support product development.Proactively explore data to identify product opportunities and insights.Collaborate with cross-functional teams to ensure data-driven decisions.Ensure data quality, reliability, and documentation across analytics efforts.Must Have3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).Advanced analytics experience: segmentation and cohort analysis.Proficiency in Python for data analysis and modeling.Excellent communication skills: able to explain complex data insights clearly.Curious, collaborative, and driven to make an impact in a fast-paced environment.Nice to HaveExperience in B2B SaaS or AI/ML products.Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).Exposure to machine learning concepts or AI-powered systems.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.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.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.

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About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the role:The ML Developer Experience team is responsible for creating the suite of tools and services that enable users to create production quality applications using Ray. The product is the user’s primary interface into the world of Anyscale and by building a polished, stable, and well-designed product, we are able to enable a magical developer experience for our users. This team provides the interface for administering Anyscale components including Anyscale workspaces, production and development tools, ML Ops tools and integrations, and more. Beyond the user-facing features, engineers help build out critical pieces of infrastructure and architecture needed to power our platform at scale.With a taste for good products, a willingness to work with and understand the user base, and technical talent to build high quality software, the engineers can help build a delightful experience for our users from new developers learning to use Ray to businesses powering their products on Anyscale.A snapshot of projects you can work on:Full stack work on Anyscale workspaces, debugging and dependency management on AnyscaleDevelopment of new ML Ops tooling and capabilities, like dataset management, experiment and lineage tracking, etc.Lead the development of the Anyscale SDK, authentication, etc.We’d Love to hear from you if you have:A solid background in algorithms, data structures, and system design.Experience working with modern machine learning tooling, including PyTorch, MLFlow, data catalogs, etc.At least 5+ year of relevant work experienceAs part of this role you will:Develop a next-gen ML Ops platform and development tooling centered around RayBuild tools and frameworks for managing the AI development lifecycle from data preparation to training to production servingBonus points if you have:Experience in building and maintaining open-source projects.Experience in building and operating machine learning infrastructure in production.Experience in building highly available serving systems.Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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Director of Engineering - (US/Canada), Remote Role Overview As the Director of Engineering, you will report directly to the Chief Technology Officer (CTO) and be responsible for driving the technical strategy, leading engineering teams, and ensuring the successful delivery of AI-powered solutions. You will collaborate with cross-functional teams, including Product, Research, Applied, and Operations, to ensure innovation and execution at the highest level. You will play a pivotal role in defining technical strategy, scaling our AI infrastructure, optimizing performance, and fostering a culture of technical excellence. Key Responsibilities Define and execute the engineering roadmap aligned with the company’s AI vision and business objectives. Hands-on leader who is not afraid to write code and debug problems with the team Lead, mentor, and scale high-performing engineering teams across backend, frontend, Inference, and API development. Oversee the design, development, and deployment of scalable, reliable, and secure full-stack applications and APIs. Collaborate with Product, Research, Applied, and Sales teams to translate AI innovations into market-ready solutions, with proven experience shipping complex products on tight timelines. Ensure best practices in software development, architecture, cloud infrastructure, security, and observability. Drive technical excellence through modern development methodologies, CI/CD pipelines, and effective DevOps/MLOps practices. Establish and track key performance indicators to measure engineering efficiency, product reliability, and platform performance. Maintain awareness of emerging technologies and industry trends across AI, web, and API development to drive continuous innovation. Partner with leadership to define technical hiring strategies and foster a strong, collaborative engineering culture. Work closely with the CTO to align engineering execution with overall technology and business strategy. Qualifications 10+ years of experience in software engineering, with at least 5 years in a leadership role at a high-growth technology, AI, or deep-tech company. Proven track record of building and scaling engineering teams responsible for backend, frontend, and API platforms. Strong expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and modern web architectures. Experience in building and owning full stack products using programming languages/frameworks such as Go, Typescript, Java, or Python. Familiarity with MLOps, data infrastructure, and deploying AI models in production environments. Strong understanding of application security, compliance, and ethical technology principles. Exceptional leadership, communication, and cross-functional collaboration skills. Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, AI, or a related field. Preferred Experience in a high-growth startup environment. Knowledge of AI regulations, data privacy laws, and ethical technology frameworks. Prior experience running Gen AI models or applications in production. Why Join Us? Opportunity to lead and shape engineering excellence in a dynamic, high-impact environment. Work with a talented team of engineers, AI researchers, and industry experts. Competitive salary, equity options, and comprehensive benefits. A culture that values innovation, collaboration, and continuous learning. If you are a passionate engineering leader eager to build world-class backend, frontend, and API platforms, we’d love to hear from you!

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for AI Prompt Engineers to help us reach $XXM ARR in the next 9 months. As a founding Prompt Engineer at Magical, you will play a critical role in bridging the gap between our cutting-edge AI automation platform and our customers’ needs. You’ll work directly with customers, helping them deploy, integrate, and optimize Magical’s solutions to drive business value. This role requires a blend of technical knowledge, problem-solving, customer engagement, and product customization to ensure the customer’s seamless adoption, success, and expansion over time.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.What You’ll DoBuild custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases.Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption.Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform.Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems.Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements.Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization.Be a vocal member, helping the engineering team build internal tools and documentation to streamline future customer implementations.Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth.Who You Are3+ years of experience in engineering, solutions engineering, QA engineering, or similar technical backgroundDeep AI prompting proficiencyA top project manager. You can wrangle something fuzzy into a project plan and you’ll do whatever is needed to make it happenFamiliarity with business process automation, workflow optimization, or AI-driven solutions is a plusAbility to manage multiple projects, engage with senior stakeholders, and communicate technical concepts in a clear and structured manner.Willingness and ability to travel to customer sites as required for setup and implementation.A self-starter with a strong ability to adapt, learn quickly, and thrive in a fast-paced, startup environment.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. These workflows are the backbone of industries that keep the world running, yet many organizations remain burdened by resource constraints and outdated manual processes, hindering their efficiency and innovation.Magical leverages AI and a purpose-built workflow automation platform to seamlessly transform long-form, multi-system workflows into fully autonomous processes. We enable teams to scale operations, reduce costs, and focus on what matters most.Backed by leading investors, including Coatue, Greylock, Lightspeed and Bain Capital Ventures, Magical is reimagining the future of work by equipping teams with the tools to unlock hidden inefficiencies, automate with precision and achieve unprecedented operational scale.

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for AI Prompt Engineers to help us reach $XXM ARR in the next 9 months. As a founding Prompt Engineer at Magical, you will play a critical role in bridging the gap between our cutting-edge AI automation platform and our customers’ needs. You’ll work directly with customers, helping them deploy, integrate, and optimize Magical’s solutions to drive business value. This role requires a blend of technical knowledge, problem-solving, customer engagement, and product customization to ensure the customer’s seamless adoption, success, and expansion over time.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.What You’ll DoBuild custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases.Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption.Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform.Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems.Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements.Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization.Be a vocal member, helping the engineering team build internal tools and documentation to streamline future customer implementations.Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth.Who You Are3+ years of experience in engineering, solutions engineering, QA engineering, or similar technical backgroundDeep AI prompting proficiencyA top project manager. You can wrangle something fuzzy into a project plan and you’ll do whatever is needed to make it happenFamiliarity with business process automation, workflow optimization, or AI-driven solutions is a plusAbility to manage multiple projects, engage with senior stakeholders, and communicate technical concepts in a clear and structured manner.Willingness and ability to travel to customer sites as required for setup and implementation.A self-starter with a strong ability to adapt, learn quickly, and thrive in a fast-paced, startup environment.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. These workflows are the backbone of industries that keep the world running, yet many organizations remain burdened by resource constraints and outdated manual processes, hindering their efficiency and innovation.Magical leverages AI and a purpose-built workflow automation platform to seamlessly transform long-form, multi-system workflows into fully autonomous processes. We enable teams to scale operations, reduce costs, and focus on what matters most.Backed by leading investors, including Coatue, Greylock, Lightspeed and Bain Capital Ventures, Magical is reimagining the future of work by equipping teams with the tools to unlock hidden inefficiencies, automate with precision and achieve unprecedented operational scale.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About this roleAccelerate engineering velocity and reduce friction in the Replit development experience by stewarding our TypeScript monorepo, tooling, and developer workflows. You will be directly impacting all our engineers working in this monorepo daily. By focusing on developer experience, you will act as a force multiplier across all product development teams, enabling faster feature delivery, happier developers, and reduced operational overhead.The role combines the technical depth needed to navigate a complex monorepo with the product mindset to understand how infrastructure decisions impact developer productivity and ultimately customer value delivery.Additionally, you will be a key decision maker in the Agent’s default stack (Vite + React + Express) and will help the AI team with strategies to improve the Agent’s output and stack.This is a first hire in this area, so you will automatically be in a position of leadership and have an accelerated career path as the team undoubtedly grows.You will:Maintain and evolve a complex monorepo structure spanning frontend, backend, npm packages, and tooling.Own the build pipelines and optimize them to minimize build times and improve developer iteration speed.Improve and oversee code generation such as GraphQL and Protocol Buffers to ensure our code is type safe.Set the standards for code quality using automation tools such as TypeScript, Prettier and Eslint, building custom rules and plugins to enforce Replit-specific requirements.Streamline local development setup and onboarding experience.Work with platform teams to improve deployment processes, infrastructure integrations, and external tooling.Keep things fresh and modern in our codebase by adopting and leading migrations to better and faster tools.Help manage dependencies both internal (public and private) and external, including being the face of the company when interfacing with open-source libraries such as when it comes to sponsorships.Required skills and experience:Expertise in TypeScript build systems such as Vite, TypeScript, webpack, and so on.Proficiency with ESLint, Prettier, testing frameworks, and code generation tools.Experience managing monorepos or large-scale codebasesFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office Amenities Want to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED Talk Interviewing + Culture at ReplitOperating PrinciplesReasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. Program overviewAPX is Sierra’s rotational program to develop the next generation of AI builders.In the age of AI, we believe generalists with diverse training and experience will become more important and empowered than ever. Instead of specializing early in an engineering, product management, or business subfield, the next generation of AI leaders will be able to do everything it takes to create, ship, and distribute great products.As an APX, you’ll be among the first to live in this exciting future. You’ll build AI agents directly with top global brands and gain access to comprehensive training opportunities, both as an Agent Engineer and Agent Product Manager. If you’re hungry to shape and learn from the most important technological wave of our lifetimes, come build at Sierra.The APX program is open to students graduating from undergraduate or Master’s programs by June 2026.What you’ll doBuild and ship AI agents for Sierra’s customers in a fast-paced, production environment.Write code and design features that directly impact customer-facing agent performance.Learn how we build agents that operate at scale and evolve through real-world usage.Collaborate closely with engineers, product managers, and operators across the company.Participate in internal reviews and product discussions to push the boundaries of what agents can do.Preferred qualificationsPursuing a bachelor’s or Master’s degree (or comparable program) in Computer Science or a related field.Professional experience in software engineering or product management, especially with customer-facing responsibilities.Expertise in React, TypeScript, Python, Go, and other modern programming languages.Demonstrated curiosity and interest in AI applications (e.g., research, jobs, side projects).Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.