AI Data Science & Analytics Jobs

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Who we are at Osmo:Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory. Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the reach of human intuition alone. Osmo is headquartered in New York, NY, with a new facility in New Jersey, and offices in Somerville, MA.Osmo is seeking a Senior Backend Engineer with deep expertise in distributed systems architecture to join our Software team. The ideal candidate has experience building robust, scalable systems that bring our Olfactory Intelligence to life.Key ResponsibilitiesDesign and scale high-performance backend systems and APIs that power real-world products.Evolve service architectures for scalability, reliability, and maintainability, balancing speed with technical excellence.Lead design reviews and shape architectural decisions that define the long-term health of our systems.Mentor engineers, raise the technical bar, and foster a culture of quality and collaboration.Own services end-to-end, from design and implementation to deployment, observability, and optimization.Drive meaningful impact by connecting strong engineering fundamentals with clear business and product outcomes.Required Qualifications5+ years of experience designing, building, and operating scalable backend systems and distributed architectures.Deep understanding of system design, performance optimization, and fault tolerance.Fluency in Python, with expertise in RESTful API design, frontend integration patterns, and data storage systems (e.g., BigQuery, Snowflake, PostgreSQL).Experience deploying and maintaining systems on cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).Track record of leading complex initiatives and shaping technical direction across teams.Product-minded and pragmatic, balancing long-term architecture with fast, high-quality delivery.Excellent communicator who can bridge technical and non-technical audiences.Ways to stand outExperience building and integrating with third-party Application Programming Interfaces (APIs) and external data sources.Ability to collaborate across backend, data, and frontend domains to deliver cohesive systems.Interest in olfaction and the technical challenges of representing complex real-world phenomena in code.Salary Range: 160K - 190K annuallyBenefits: Medical, Dental, Vision, 401K, and more.If this role inspires you we’d encourage you to apply. We are committed to recruiting, developing, and retaining an incredible team optimized for a diversity of thought, background, and approaches. Base salary is just one component of Osmo’s total rewards package, which is designed to support the well-being, growth, and long-term success of our team members. Our comprehensive package includes health, dental, and vision coverage; a 401(k) retirement savings plan with company match; flexible paid time off and company holidays; and equity or incentive compensation for eligible roles. Actual compensation will vary based on factors such as experience, skills, location, internal equity, and other relevant business considerations. Osmo regularly reviews pay ranges to ensure they remain competitive, equitable, and aligned with current market data.All employment decisions and responsibilities are determined based on current ability and your ability to grow, without regard to race, color, gender identity, sex, sexual orientation, religion, age, marital status, physical, mental, or sensory disability, or any other characteristic protected by applicable law. Recruitment & Staffing Agencies: Osmo does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Osmo or its employees is strictly prohibited unless contacted directly by the Osmo Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Osmo and Osmo will not owe any referral or other fees with respect thereto.

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📐 About this role As a Customer architect, your objective will be to partner with your customers to support them in uncovering, and then creating solutions to serve their business needs, including creating custom templates and working through our APIs. Success will mean a meaningful increase in the number of customers actively leveraging these solutions in high-impact ways. You will work alongside your account partners, including a CSM and Implementation manager, as the technical resource on account to support the adoption and realization of value for our largest customers. Your positivity, sense of curiosity, and ability to create champions from early adopters in the AI writing space will help shape our entire culture. If you have a builder mentality, this is the role for you.🦸🏻‍♀️ Your responsibilitiesSupport the Customer success and Account management team, and work with an assigned group of customers to scope use-cases that need to be supported by a customized solution, validate the technical feasibility, and then own the implementation. Scope the customer’s business and technical needs, including quantifying the existing problems, understanding their tools, workflows, data structure, and integration points to deliver incredible contentOwn the creation of custom templates, deployment of our Knowledge Graph capabilities and act as the technical resource for customers to leverage our APIs Communicate limitations and propose solutions, including their scope, resource needs, and projected timelinesDevelop and maintain a deep understanding of the WRITER solutions, the broader AI and LLM landscape, as well as our customer’s ecosystem so you can offer prescriptive solution recommendationsWork closely with Engineering to QA the outputs from the implementation, calibrate, and iterate until we have an optimal output Develop new processes, systems and workflows to reduce time to value for our customersEnsure we have collateral, documentation and processes to support our customers in their technical integration needs Communicate the voice of the customer back to our Product and Engineering teams so we can make, relevant enhancements to our product⭐️ Is this you?5+ years of technical roles in SaaS including 3+ years of experience in solutions architect or technical account management role Experience managing a customer book of businessHave worked with Fortune 500 customers for a high growth, B2B SaaS companyExperience with generative AI and prompt engineering is a huge plusExperience working with APIsNice-to-have: Python chopsAn excellent communicator and collaborator, able to take complex technical concepts and translate to practical business language for non-technical audiencesHighly versatile, can lead a discovery session with multiple stakeholders up to a CIO level, uncovering use cases and business pain, while also being able to have the technical acumen to address complex technical hurdlesBusiness outcome oriented: a laser focus on delivering solutions that create meaningful business resultsTenured problem solver, able to identify the root cause of issues and work collaboratively to resolve An excellent collaborator, with experience working alongside account teams to drive towards custom results in a coordinated and unified manner. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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AI Deployment Engineer About Bland AIWe’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have grown to a 80+ person team, and we serve customers like Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world.Why This Role ExistsEvery customer is different — the problems they’re solving, the data they have, and the impact they want to create with AI. We’re looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value. You’ll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization.What You’ll DoDesign and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes.Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback.Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes.Own end-to-end delivery. From discovery call to deployment, you’ll lead the technical build, testing, and iteration — ensuring the experience feels natural, human, and on-brand.Drive adoption and expansion. Share results, train teams, and embed yourself within the customer organization to uncover new opportunities for automation and scale.Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-Have Qualifications1–5 years of experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production.Proven experience building and integrating AI or automation features into real-world applications.Hands-on experience integrating LLMs or AI SDKs into web applications.Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM).Track record of ownership and grit — moments where you built something from scratch, solved hard problems, or exceeded expectations.Excellent communication skills — you can explain complex AI concepts clearly to both technical and non-technical audiences.Thrives in a fast-moving, high-intensity environment — motivated by challenge, curiosity, and the pursuit of great work.Willingness to work in-person frequently (SF HQ and customer sites) to collaborate and accelerate learning. Nice-to-HavesHands-on experience experimenting with or deploying LLM-powered tools or agents.Prior startup or founder experience — you know what it takes to build without a playbook.Curiosity about AI agent design, orchestration, and automation systems.Experience working directly with customers to identify pain points and turn them into shipped solutions.A portfolio of personal or side projects that showcase creativity, technical depth, and persistence.Exceptional new grads with strong ownership and ambition are welcome to apply. Why you'll love working hereYou’ll be joining one of the fastest-moving AI teams in the world — where speed, creativity, and ownership are the default. You’ll ship real agents used by real customers, working directly with teams that are transforming how humans and AI collaborate.This role is perfect for someone who loves building, learning, and pushing boundaries a hands-on candidate who wants to see their work in the wild, solving real problems for real people.Relentlessness is the most important qualityIf you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you.Compensation & PerksSalary: $120k – $175k base + meaningful equity + benefits. Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).

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💻 Languages: Next.js, TypeScript, Python✅ Skills: Building full-stack apps, being up to date with the latest AI frameworks and tools👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents. 👉 About the roleYour job will be to inspire developers what they can build E2B. Part of that job is creating examples based on what we often see our users are doing and another part of that is leading by example by building experimental projects using E2B.You’ll be tasked with developing both smaller examples in our Cookbook and full-scale projects like Fragments and AI Analyst.This role requires a high amount of creativity and ability to ship projects on your own from 0 to 1.👉 What we’re looking for3+ years of experience in software engineering.Familiar with tools like AI SDK, LangChain, LlamaIndex, Haystack or Mastra.Detail oriented with great taste.Team player with high ownership.Excellent written and spoken communication skills.Thriving in fast-pace field and environment.Excited to work in person from Prague on a DevTool product.Bonus points if you have authored or contributed to open-source projects in the past.

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As a Software Engineer II - Software Defined Networking, you will lead the development and execution of our Software Defined Networking strategy. You will work extensively with the Linux Kernel, utilizing technologies such as XDP/EBPF, DPDK, SmartNIC, and DPU/IPU to drive innovation and performance improvements. What You’ll Be Working On:Develop and execute the roadmap for the Software Defined Networking strategy at Crusoe Cloud.Be highly hands-on, guiding the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks.Collaborate with the network infrastructure organization to develop industry-leading networking infrastructure.Lead Linux Kernel and driver development, system architecture design, production support, and cross-functional collaboration.What You’ll Bring to the Team:2+ years of related experience building and operating at scale in a production environment.Proven experience in system programming with C, C++ and/or Rust.Extensive knowledge of Linux Systems Internals and computer architecture.Expertise in Network Programming and Packet Processing pipelines.Hands-on experience with kernel bypass technologies such as XDP/EBPF, AF_XDP, and DPDK.In-depth understanding of TCP/IP and network accelerators like Mellanox/Nvidia SmartNIC (ConnectX6/7), DPU Bluefield3, and Intel IPU.Familiarity with SR-IOV, vDPA, and scalable functions.Strong background in kernel or embedded development, particularly with the Linux kernel.Experience with Open vSwitch, Openflow, and Open Virtual Networking.Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.Demonstrated track record of contributions to the open source community (e.g., Open vSwitch/OVS, Open Virtual Networking/OVN, Multus, Cilium). Bonus Points:Advanced degree in Computer Science, Engineering, or a related field.Proven leadership experience in a technical role.Strong analytical and problem-solving skills.Excellent communication and collaboration skills.Experience with cloud networking platforms (AWS, Azure, GCP) and virtualization technologies (VMware, KVM).Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation: Compensation will be paid in the range of $131,000 - $154,000 per year + Bonus. Restricted Stock Units are included in all offers. Compensation will be determined based on the applicant's knowledge, education, experience, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Company OverviewDeepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.Note: this role is based out of the EMEA territory.Regional ExpectationsBased in an EMEA time zone with strong overlap to customer business hours.Excellent written and spoken English. Additional European languages are a strong plus.OpportunityDeepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights!What You'll DoSelf-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetingsWork closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectivenessHave a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyersEstablish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoingYou’ll Love This Role If YouValue having leadership that has tenure and a track record of successThrive working with A Players as cross-functional partners across GTMUnderstand the importance of selling a product that is market validated and can deliver on its technical promiseBelieve there should be no cap to upside and want control of account up-sell potentialAre passionate about what Deepgram is building and how we are changing what is possible with speechIt’s Important to Us That You HaveProven experience in a technical full-cycle sales roleExperience building your own pipeline from scratch and closing accountsConsistent overachievement against sales targets in past experiencesStrong written and verbal communication skillsEmpathy and a unique ability to understand customer needsHighly organized with exceptional follow-up skills due to managing multiple opportunities at any given timeAbility to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success.It Would Be Great If You HadFamiliarity with Challenger or Triangle sales methodologyExperience selling to a technical audience in a similar spaceExperience selling developer tools, infrastructure, or AI/ML technologies.Fluency in German, French, Dutch, or other major regional languages.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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At Black Forest Labs, we’re on a mission to advance the state of the art in generative deep learning for media, building powerful, creative, and open models that push what’s possible.  Born from foundational research, we continuously create advanced infrastructure to transform ideas into images and videos.Our team pioneered Latent Diffusion, Stable Diffusion, and FLUX.1 – milestones in the evolution of generative AI. Today, these foundations power millions of creations worldwide, from individual artists to enterprise applications. We are looking for a 3D Researcher to bring precise camera control to our image and video generation models. Role and Responsibilities Training large-scale Diffusion (transformer) models for camera-controllable image and video generation Developing conditioning mechanisms for 3D camera parameters (poses, trajectories, intrinsics) in diffusion models Rigorously ablating design choices for 3D control and communicating results & decisions with the broader team Reasoning about the speed and quality trade-offs of 3D-aware architectures What we look for Experience training large-scale Diffusion models for image and video data Strong understanding of 3D projective geometry, camera models, and coordinate systems Experience with 3D-aware generative models or neural rendering techniques (NeRFs, 3DGS, etc.) Integrating geometric priors and 3D conditioning into neural networks Strong proficiency in PyTorch, transformer models and other NN architectures Deep understanding of training techniques such as FSDP, low precision training, and model parallelism Nice to have: Experience with multi-view consistency in generative models Understanding of camera calibration, structure-from-motion, or SLAM  

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About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that. As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. This is a full-time role starting in June or September 2026 depending on graduation dates. Who we are looking for We’re looking for curious, ambitious graduates who are excited to launch their software engineering careers and make an impact from day one. You’ll join us around June/September 2026 as part of a small, highly collaborative team that’s building the next generation of AI infrastructure. At Encord, you’ll work alongside serial founders, ex-computer scientists, physicists, and quants who care deeply about building great products and shipping fast. We’re looking for graduate full-stack engineers, whether you’re more front-end or back-end leaning, who are passionate about solving real customer problems and thrive in autonomous squads of 4–5 people. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we’re over 100 and continuing to accelerate. Joining us now means stepping in at a crucial stage of expansion for the company, product, and team. Your contributions here will have a real, visible impact. If you’re finishing university and looking for your first full-time engineering role where you can learn fast, build meaningful products, and grow alongside an exceptional team, Encord could be the perfect place for you. What to expect High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will have the opportunity to work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together. You will work alongside amazing team-mates who will help you learn and upskill quickly.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Eager to learn and grow: You’ve built small projects, coursework assignments, or personal apps, and are excited to apply what you’ve learned to real-world systems. You’re curious about how reliable, high-performance software is built and are keen to learn from experienced engineers.Motivated by impact:You want your work to make a meaningful difference. You’re excited by the idea of contributing to products that real people use and that deliver tangible results.A natural builder: You enjoy creating things from the ground up, whether that’s writing code, designing systems, or experimenting with new technologies. You’re comfortable exploring across the stack and love solving problemsComfortable with ambiguity: You don’t need every detail defined before you start. You enjoy figuring things out, learning as you go, and using feedback to guide your work.Collaborative and supportive: You value teamwork, communication, and helping others succeed. You take feedback well, share ideas openly, and contribute to a positive, high-performing team culture. QualificationsCurrently pursuing or holding a Bachelor’s or Master’s degree in Computer Science, Physics, Engineering, Mathematics, or a related technical field, or have gained equivalent expertise through coding bootcamps or relevant work experience.Proficient in one or more programming languages such as Python, Go, C#, C++, Java, Ruby on Rails, or JavaScript.

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IMPLEMENTATION STRATEGISTAbout H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.About the Team: The Implementation Strategist is the strategic link between customer and our engineering team. Your key stack is understand where the biggest customer problem stand and help find the right Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.Key Responsibilities:Dig into the data to understand and identify customer’s most important and impactful multi-step task to automateBe the Go To person for the customerPartner with Forward Deployed Engineer to Seamlessly integrate our solutions Coordinate trainings to ensure our solution best usageBuild and deliver demos and present results to strategic audience Requirements:3+ years of selling and implementing complex IT solutions to customersA double curriculum in Business and Engineering school would be ideal Technical Experience working with AI/ML systems would be appreciatedFluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environmentsExcellent communication skills, both written and verbalBias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutionsWillingness to travel for on-site deployments or customer engagementsLocation:H's teams are distributed throughout France, the UK, and the USThis role is currently in ParisThe final decision for this will lie with the hiring manager for each individual roleWhat We Offer:Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.Enjoy a competitive compensation package, including salary and equityUnlock opportunities for professional growth, continuous learning, and career development

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary : AI Deployment Strategist As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution. This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact. What you will do Strategic Discovery & Vision Setting• Lead executive-level workshops to identify business challenges and opportunities where Mistral’s AI can drive step-change improvements.• Co-create AI adoption roadmaps with customers, articulating the “art of the possible” and a clear path to value.• Collaborate with Account Executives to develop business cases, quantify ROI, and align solutions with customer objectives. AI Solution Design & Deployment• Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.• Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability and impact.• Own the execution of pilot projects and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. Value Realization & Customer Success• Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral.• Monitor key performance indicators (KPIs) tied to business outcomes, and communicate progress to executive sponsors.• Proactively identify expansion opportunities within accounts, building on initial successes to drive long-term partnerships. Cross-Functional Collaboration• Act as the bridge between customers and Mistral’s internal teams, synthesizing feedback to influence product and research roadmaps.• Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence.• Travel (~30-60%) to foster deep client relationships and support on-site deployment. About you • 2+ years in a client-facing strategic role (e.g., management consulting, value engineering, or technical sales).• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions.• Executive presence and communication skills to influence senior stakeholders (VP, C-level).• Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences.• Hands-on experience prototyping proofs-of-concept (Python, JavaScript, or similar) to demonstrate value.• Resilient, results-driven, and comfortable leading through influence in a collaborative environment.• Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus. Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers. What we offer 💰 Competitive cash salary and equity🚑 Healthcare: Medical/Dental/Vision covered👴🏻 401K: 6% matching🚴 Transportation: Reimburse office parking charges, or $120/month for public transport💡 Coaching: we offer BetterUp coaching on a voluntary basis🥎 Sport: $120/month reimbursement for gym membership🥕 Meal voucher: $400 monthly allowance for meals

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Our vision at Descript is to build the next-generation platform for fast and easy creation of audio and video content. We are trusted by some of the world's top podcasters and influencers, as well as businesses like BBC, ESPN, HubSpot, Shopify, and The Washington Post for communicating via video. We've raised $100M from leading investors such as the OpenAI Startup fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital. About The Team We are seeking a Head of Platform Engineering to lead and scale our Platform organization. This organization at Descript is central to empowering our engineering teams to build and deliver products efficiently and effectively. Operating as an internal product team, the Platform group focuses on providing tools, infrastructure, and services that enable our engineers to deliver exceptional products to our users. You will be leading five teams across Platform, with expectations for continued growth in the next 6-12 months. The Platform organization encompasses: Infrastructure Team: Builds and maintains our core backend and development infrastructure, ensuring scalability, reliability, and performance. Builder Experience Team: Focuses on the foundations of our client applications, CI/CD, build, test, and release. AI Enablement Team: Develops and scales our AI/ML infrastructure to support cutting-edge research and integration of AI features into our products. Media Team: Scales and improves our proprietary media server which handles playback and media serving. Core Engineering: Responsible for monetization foundations (usage tracking, Stripe integration), identity services (auth, permissions, user/team management), and key enterprise integrations. Key Challenges Ahead: Infrastructure Scaling: Building a scalable, reliable, and performant infrastructure to support the growth of our engineering, data, and research teams. Product Transition: Leading the transition of our features and infrastructure from a desktop app-heavy product to a web-first and cloud-based user experience. Developer Experience: Establishing the foundations for a world-class developer experience, enhancing productivity and satisfaction across a fast-growing, full-stack engineering organization. AI/ML Integration: Scaling our AI/ML platform to support innovative research rapid productization of AI features, and a product feedback cycle for model improvements. This position reports directly to the VP of Engineering. What You'll Do Strategic Leadership: Develop and execute a strategic vision and roadmap for the Platform organization, aligning with company goals and ensuring cross-team collaboration. Team Development: Recruit, mentor, and grow engineering managers and engineers, fostering a culture of continuous learning and development. Operational Excellence: Ensure execution across the Platform teams is predictable, reliable, and sustainable, implementing best practices in project management and engineering processes. Cross-Functional Collaboration: Work closely with Product, Design, and other Engineering teams to ensure platform initiatives meet the needs of internal stakeholders. Innovation and Improvement: Drive innovation within the Platform organization, continually seeking ways to improve our infrastructure, tools, and processes. Culture Building: Help scale and evolve our company culture as we grow, promoting values of collaboration, inclusivity, and excellence. What You Bring Leadership Experience: Has 5+ years of engineering management experience, including leading multiple teams or an engineering organization, preferably in platform or developer experience domain. Technical Expertise: Demonstrates a strong technical background with experience in cloud platforms (GCP preferably), scalable infrastructure, and AI/ML technologies. Strategic Thinker: Can develop and communicate a clear vision, aligning teams and resources to achieve strategic objectives. Team Builder: Excels at creating collaborative, empowering, and high-performing team environments. Effective Communicator: Communicates clearly and effectively, both in writing and verbally, across technical and non-technical audiences. Adaptable and Resilient: Thrives in fast-paced, rapidly changing environments, with the ability to navigate ambiguity and drive results. Educational Background: Holds a Bachelor's degree in Computer Science, Engineering, or related field, or has equivalent professional experience. Nice to Haves Startup Experience: Experience managing engineering teams at a startup or high-growth company where the rate of change is extremely high. AI/ML Background: Familiarity with AI/ML platforms, tools, and practices. Developer Tools Expertise: Background in building developer tools and enhancing developer experience. The base salary range for this role is $224,000- $296,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About Us Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.    Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In 2024, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.  About The Role  We are seeking a highly skilled Deployment Engineer to build and operate our cutting-edge inference clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power.   You will play a critical role in ensuring reliable, efficient, and scalable deployment of AI inference workloads across our global infrastructure. On the operational side, you’ll own the rollout of the new software versions and AI replica updates, along the capacity reallocations across our custom-built, high-capacity datacenters.    Beyond operations, you’ll drive improvements to our telemetry, observability and the fully automated pipeline. This role involves working with advanced allocation strategies to maximize utilization of large-scale computer fleets.   The ideal candidate combines hands-on operation rigor with strong systems engineering skills and thrives on building resilient pipelines that keep pace with cutting-edge AI models.  This role does not require 24/7 hour on-call rotations.     Responsibilities  Deploy AI inference replicas and cluster software across multiple datacenters  Operate across heterogeneous datacenter environments undergoing rapid 10x growth  Maximize capacity allocation and optimize replica placement using constraint-solver algorithms  Operate bare-metal inference infrastructure while supporting transition to K8S-based platform  Develop and extend telemetry, observability and alerting solutions to ensure deployment reliability at scale  Develop and extend a fully automated deployment pipeline to support fast software updates and capacity reallocation at scale  Translate technical and customer needs into actionable requirements for the Dev Infra, Cluster, Platform and Core teams  Stay up to date with the latest advancements in AI compute infrastructure and related technologies.   Skills And Requirements  2-5 years of experience in operating on-prem compute infrastructure (ideally in Machine Learning or High-Performance Compute) or id developing and managing complex AWS plane infrastructure for hybrid deployments  Strong proficiency in Python for automation, orchestration, and deployment tooling  Solid understanding of Linux-based systems and command-line tools  Extensive knowledge of Docker containers and container orchestration platforms like K8S  Familiarity with spine-leaf (Clos) networking architecture  Proficiency with telemetry and observability stacks such as Prometheus, InfluxDB and Grafana  Strong ownership mindset and accountability for complex deployments  Ability to work effectively in a fast-paced environment.   Location   SF Bay Area.  Toronto  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Location: San Francisco (100% In-Office) Experience: 5+ years Salary: $200K - $350k • Offers EquityAt Giga, we’re revolutionizing enterprise by deploying AI agents that resolve over 1 million customer tickets monthly via voice and chat. Industry leaders like DoorDash trust our AI to navigate complex, real-world conversations with clarity, accuracy, and scalability.Engineers at Giga work on problems like:building agents with almost no hallucination ratesa voice experience that's better than talking to humanscreating self-learning agents that optimize metrics Who You Are / Must-Haves:Exceptional EngineerBackend: Strong experience in Python (Django experience is a plus)Cloud: Proficient with AWS or Google CloudScalability: Familiarity with Kubernetes and Docker is a plusEntrepreneurial: Preference for candidates with experience at successful startups. Former founders are especially valuedSeasoned: 5+ years of hands-on engineering experience with roles in leadership Perks & BenefitsCompetitive total compensationEquinox membershipFull health, dental, and vision coverageOn-demand snacks, coffee, and DoorDash CreditsUbers covered home Interview ProcessScreening call w/ recruiting lead (20 min)Intro call w/ Founding Engineer (15 min)Live coding round w/ Founding Engineer (1 hr)In-office interview (full day)

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.  Responsibilities Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).  Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.  Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.  Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.  Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.  Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.  Proactively identify pain points in both our solutions and those of our customers.  Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.  Skills & Qualifications 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.  Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.  Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.  Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.  Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.  Assets Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.  Observability practice (Prometheus, Grafana, Elk) and basic performance testing.  Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.  Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).  Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.  Responsibilities Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).  Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.  Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.  Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.  Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.  Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.  Proactively identify pain points in both our solutions and those of our customers.  Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.  Skills & Qualifications 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.  Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.  Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.  Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.  Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.  Assets Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.  Observability practice (Prometheus, Grafana, Elk) and basic performance testing.  Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.  Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).  Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Scale AI is at the forefront of the AI revolution, helping the U.S. government and allied partners unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows in the cyber domain for a national security customer. As an EM on our public sector delivery team, you own the account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.   You will: Manage customer relationships from the executive to the end user Be onsite with national security customers to scope agentic workflow use cases that Scale’s engineering team will build and refine Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts   Must haves: An active Top Secret security clearance (required)  5+ years of experience in program management or customer facing role Willingness to be onsite with the customer in the Washington DC area 4 days per week and able to travel at least 25% of the time (as needed) High cross-functional influence and EQ Excellent communication and presentation skills with external stakeholders A history of diligence and organization across multiple work streams Passion for solving complex challenges and building efficient AI systems by leveraging agents A basic understanding of ML operations and an aptitude to develop mastery on generative AI workflows / products   Ideally, you’d have: Technical degree in computer science, engineering, or related fieldExperience in the cybersecurity sector, within or in collaboration with a government institutions Experience operating in a fast-paced startup environment or defense tech company Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of Washington DC is:$187,000—$234,300 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.About this role:In this role, you'll build the next generation of AI tools that promote critical thinking, assist in the writing process, and verify document factuality. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.What you'll contribute:Fine-tune and evaluate state-of-the-art language modelsOptimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelinesDevelop multi-agent workflows incorporating data from diverse sources using RAGImprove and iterate on AI agents using observability and experimentation toolsStay up-to-date with the latest literature and emerging technologies to solve novel problemsWork closely with product and design teams to develop intuitive applications that create societal impactQualifications4+ YOE in Python1+ YOE in LLM framework like Langchain or LlamaIndex1+ YOE with agentic or RAG applicationsStrong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutionsExperience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputsExcellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelinesSelf-starter (pitch, plan, and implement as a project owner in a fast-paced team)Highly motivated to make positive societal impactAbility to wear multiple hats and be a leader as our team growsVisa for work in Canada or USBonus:Strong open-source portfolioPublications at top-tier ML venuesExperience working in an early-stage startup environmentExperience with a prompt optimization framework like DsPY or TextGrad

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Job Description:Shield AI is seeking an exceptional Co-op candidate to join the team in building our autonomous aircraft. You will join a team of highly talented cross-functional engineers that exhibit a culture of mentorship, kindness, ownership, and hard work. The ideal start date is June 2026, and the end date is flexible What you'll do:You will be given ownership of a project that is tailored to the start date, duration, and location of your Co-op.Your work will directly contribute to the success of our novel aircraft development program. You will understand exactly why your project matters and how it ties into our critical path development objectives.You will be partnered with a senior engineer as mentor and guide for technical input and professional development. Examples of projects:Design a circuit board involving analog, digital, mixed signal, high speed circuits that enables us to test a prototype flight computer.Design, simulate, and verify high voltage power electronics (>10kW) DC/DC Converters and DC/AC inverters.Work with a senior engineer to bring-up and validate a new Avionics system.Identify bugs and drive changes to fix them.Build a test rack to deliver fully automated test coverage of a flight critical sub-system.Run a HALT campaign to ensure a series of new circuit boards are highly reliable. Required qualifications:Have completed at least the 2nd year of a relevant degree. Typically, Electrical Engineering.Strong technical fundamentals.Have been part of an engineering team/club.Experience with electrical design software and tools such as Altium, KiCAD, an oscilloscope, etc.Demonstrated history of showing ownership of project outcomes and delivering exceptional results.Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to work on Faculty’s product Frontier, working as a Lead Data Scientist in our Customer Development team. You’ll have a crucial opportunity to shape the technical vision for how we deliver our flagship Frontier product to customers and guide the senior and junior data scientists on your team.You will oversee project teams that configure Frontier for our customers by designing and building bespoke computational twins – our AI-powered digital twins. Maintaining ownership of the data science approach, you will own the technical vision for these complex deployments, partner directly with clients to shape strategy, and play a vital part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of Frontier deployments for clients, from initial discovery through to the build and productionisation of computational twins.Own the end-to-end data science approach, designing and implementing the optimal techniques – from EDA and classic machine learning to deep learning – to create high-performing computational twins within the Frontier platform.Partner with our commercial team and clients to build strong, lasting relationships, acting as a trusted technical advisor on how AI & Frontier can solve their most complex problems.Articulate intricate technical concepts, model design choices, and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking direct responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for the data scientists on your project teams, ensuring they are developing their skills in applied data science and on the Frontier platform.Contribute to sustaining our culture by creating an atmosphere of collaboration and setting a high standard for performance and technical excellence within the team.Technical Leadership:Establish a distinct and differentiated data science vision for building computational twins, driving best practices and innovative approaches for configuring the Frontier product.Partner with our commercial and product teams to ensure potential projects are appropriately scoped and resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements in AI, share these with others in the organisation, and identify how they can be incorporated into the Frontier product and our delivery workflows.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques (e.g., supervised/unsupervised machine learning, model cross-validation, Bayesian inference, time-series analysis).Strong Python programming skills and an excellent proficiency of the basic libraries for data science (e.g., NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch).You possess proven experience leading data science projects and making key decisions on technical direction, model selection, and architecture.You are an exceptional communicator, capable of building rapport with clients, translating complex business problems into a mathematical framework, and presenting technical solutions persuasively to senior audiences.You have a strategic, product-oriented mindset, with an ability to understand the core needs of users and connect them to the value delivered by a technical product like Frontier.You are passionate about developing people and have experience formally managing or mentoring other technical professionals.Commercial experience is essential, particularly if it involved client-facing work, project management, or consulting. You are motivated to work alongside our clients to ensure the successful delivery of innovative work to strict timelines.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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RYZ Labs is seeking a Full Stack Engineer  to work with one of our partners; a start up dedicated to improve the healthcare experience for patients by providing personalized assistance through healthcare advocates. What you’ll do: - Design, build, and launch the patient and advocate-facing apps, backend services, and integrations.- Move fast — prioritize shipping value while managing technical debt intentionally. - Leverage LLMs, APIs, and custom models to automate intake, triage, and follow-up.- Integrate AI into the daily tools advocates use, from summarization to proactive care nudges. - Translate ambiguous product needs into clear, buildable solutions. - Decide what to build in-house vs. integrate via third-party APIs. - Work with clinical, ops, and growth leads to ensure product solves real user problems.- Join early customer calls to see pain points firsthand. What we are looking for: - Have 8**+ years full-stack experience** (e.g., Ruby on Rails, Python/Django, Elixir/Phoenix, or similar backends + React/Next.js or similar frontends).- Have shipped production code in healthcare or another regulated industry.- Are fluent in AI development — prompt engineering, fine-tuning, API integration, vector databases, RAG pipelines.- Can design secure, HIPAA-compliant systems.- Have experience with RESTful APIs, relational databases, and cloud hosting (AWS, GCP, or PaaS like Aptible/Fly.io).- Are 80%+ hands-on coding in your current role and want to stay that way.- Thrive in startup chaos and want a seat at the table in technical + product decisions.- Experience with AI at other startups, strong Django and Python skills and experience working directly with EHRs, claims systems, or care coordination tools is a Plus. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.