Production Line Management Engineer Jobs

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, power decisions on the battlefield, locate missing children, and more. Applications for the Fall 2026 cohort are now open. The Program In the 20th century, America pioneered mass production. We built the Arsenal of Democracy, won the war, and then left the Arsenal to rust. Silicon Valley, a product of the Heartland, turned its back on the American worker. It’s time to reawaken the giant. The same spirit of practical innovation that enabled America to dominate the previous century lives on in every American factory, workshop, and garage today. The proliferation of Artificial Intelligence poses risks, but also the opportunity for a technological and industrial renaissance. Palantir is launching the American Tech Fellowship to arm Americans with the skills to deploy cutting-edge software in the workforce. Fellows will have an opportunity to explore and build on Palantir’s Artificial Intelligence Platform (AIP) and earn a professional certification in its use. Exceptional performers will earn an opportunity to interview for a role at Palantir or partner companies, where they can use their newfound skills to contribute to the reindustrialization and revival of America. This fellowship is about more than careers—it's about restoring the promise that hard work and determination can still change your life in America. It's an investment in American excellence, evidence of our belief that America's greatest builders are still to be discovered. The American worker, given the right tools and opportunity, remains our competitive advantage. It’s time to prove it. The Role In this fellowship, you'll participate in a comprehensive virtual training program with our partner, Ontologize, to level up your technical skills on Foundry and A

ROLE Point72 is looking for a Quantitative Analyst to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. RESPONSIBILITIES Refine and advance current product offerings. Contribute to research efforts formalizing and building new models. Assist in daily workflow contributing to internal communications and data production. Work with PMs and analysts to answer questions and identify needs and additional features REQUIREMENTS Undergraduate degree or higher in a technical field. Quant research or development experience at a financial institution. Experience working with time series and point in time data. Strong programming skills in Python and SQL. Strong written and verbal communication skills. Passion for research, markets, and problem solving. Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment. Commitment to the highest ethical standards.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma we believe design doesn’t end in a file or with your designer - it includes everything that goes into the product you ship: the production code that ties it all together, the systems and developer tools that make that code reliable, the context you provide to our AI agents, and the documentation that keeps everyone on the same page. The Code Area at Figma is redefining how Designers, PMs and Engineers collaborate. We are responsible for agentic workflows enabling ideation and prototyping on production codebases as well as accelerating the journey from design to code. In 2023, we launched Dev Mode , a suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, we introduced Figma’s MCP , accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design allowing ideation, prototyping and productionisation to happen seamlessly where it most makes sense. Our Code organization is expanding, and we’re hiring AI Product Engineers across multiple levels in the UK. We’re looking for people who have built generative AI products and are eager to lead AI efforts end-to-end, from early ideas to production. Join us in shaping the future of AI at Figma! What you’ll do at Figma: Build and evolve Dev Mode our MCP tools and Make Figma’s leading tools for dev/design collaboration Take part in building new 0→1 products within the agentic coding space Collaborate

ROLE/RESPONSIBILTIES: We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production REQUIREMENTS: Bachelor’s, Master’s or PhD candidate in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset Commitment to the highest ethical standards ABOUT POINT72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

About the Team The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world. We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work. At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products. Some of the most challenging technical problems in scaling the capabilities and utility of agents and agentic models lie in the infrastructure layer – and our team is focused on building the research and production systems that enable OpenAI to train the most capable models in the world, and maximize the utility of our agentic products for users around the world. About the Role As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide. Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run. We’re looking for people with deep experience building AI infrastructu

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, primarily across on-prem environments for the US Government. Forward Deployed Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You’ll travel to various locations where you will be the expert for Palantir’s infrastructure, helping partner teams build & configure their hardware and network for software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Maintaining availability of physical Linux servers that power the Palantir platform in air-gapped production environments Design, deploy, and operate infrastructure to support customer & product requirements via modern orchestration & monitoring platforms Collaborate closely with product teams on requirements & SLOs for deploying software into air-gapped environments Identifying, troubleshooting, and solving network & systems issues Scripting to automate away routine operational tasks Provide technical

P-1413 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We are the UI Platform team, responsible for enabling all frontend developers at Databricks to build amazing features. We support hundreds of developers working in the frontend every week, making sure that they can use AI tooling to build features, can quickly ship them to production, and have best-in class monitoring and observability of what they build.. We own all aspects of the dev loop, relying on industry-standard technology like Typescript, React, GraphQL, yarn, node and more! We're seeking a dedicated Engineering Leader for our Developer Experience team. This team is responsible for the entire life cycle of a feature: dev loop, submitting, pushing, monitoring… everything needed to ensure smooth delivery of code from the developer’s head to production! You will report directly to the Senior Manager of Engineering. The main responsibilities include: You will lead a talented engineering team in UI Platform focused on making our frontend developer experience amazing. You will oversee sustained recruitment of top-tier talent, and developing talent on the team. You will build processes to implement product vision and strategy, according to organizational goals and priorities. You will build software that is not just high quality, but easy to operate. You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap. What we look for: 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications 2+ years leading and managing a high-performing engineering team. A passion

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval

The Senior Strategic Sourcing Manager will lead commercial strategy, advisory, and execution for all Zoox manufacturing projects. It will own Zoox manufacturing third-party relationships end-to-end to lead (i) competitive sourcing and negotiations, (ii) project execution, and (iii) ongoing performance of manufacturing suppliers. Finally, this role will support negotiation of capital equipment in the Zoox supply chain and also support future production strategizing. These activities ensure that Zoox’s manufacturing organizations can successfully and predictably produce complex systems at scale through world-class supplier relationships and cost structures. In this role, you will: Lead procurement and partnership initiatives for Zoox’s manufacturing organizations; build and maintain strategic relationships with key suppliers as the lead point of contact for all commercial topics Lead the day-to-day process of ensuring successful partnerships (milestone adherence, change order management, quality assurance, cost control, etc.) and build supplier performance assessments to support future sourcing decisions Proactively engage with Zoox stakeholders (incl. engineering, operations, manufacturing, strategy, finance, and design) to derive and execute the short- and medium-term business and technology roadmap to support Zoox’s vehicle assembly and service deployment Design, conduct, and synthesize supplier, industry, and market research; drive cost transparency and build total cost of ownership models to support sourcing decisions Ensure optimal contract coverage for the commodity/service in partnership with engineering and legal support Qualifications 8+ years of experience focused on commercial analysis and decisions Expertise in capital projects and equipment for hardware manufacturing/production Experience driving completion of complex projects with internal and external parties Ability to vi

About the Team OpenAI’s Inference team powers the deployment of our most advanced models - including our GPT models, 4o Image Generation, and Whisper - across a variety of platforms. Our work ensures these models are available, performant, and scalable in production, and we partner closely with Research to bring the next generation of models into the world. We're a small, fast-moving team of engineers focused on delivering a world-class developer experience while pushing the boundaries of what AI can do. We’re expanding into multimodal inference, building the infrastructure needed to serve models that handle image, audio, and other non-text modalities. These workloads are inherently more heterogeneous and experimental, involving diverse model sizes and interactions, more complex input/output formats, and tighter coordination with product and research. About the Role We’re looking for a software engineer to help us serve OpenAI’s multimodal models at scale. You’ll be part of a small team responsible for building reliable, high-performance infrastructure for serving real-time audio, image, and other MM workloads in production. This work is inherently cross-functional: you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction. You'll build and optimize the systems that let users generate speech, understand images, and interact with models in ways far beyond text. In this role, you will: Design and implement inference infrastructure for large-scale multimodal models. Optimize systems for high-throughput, low-latency delivery of image and audio inputs and outputs. Enable experimental research workflows to transition into reliable production services. Collaborate closely with researchers, infra teams, and product engineers to deploy state-of-the-art capabilities. Contribute to system-level improvements including GPU utilization, tensor parallelism, and hardware abstraction layers. You might thrive in t

Launch Your Tech Career with a Global Investment Bank – Junior SRE/DevOps Engineer (Athens) Are you a recent Computer Science or Engineering graduate – or someone with technical know-how and a passion for automation, systems, and infrastructure? Join the mthree Alumni Graduate Programme, designed to give you everything you need to start strong. From expert-led training to an impactful 12-month placement with a world-leading investment bank, this is your launchpad into the world of Site Reliability Engineering and DevOps. What You’ll Do Support critical infrastructure and deployment pipelines for enterprise-grade systems. Learn and apply best practices in system reliability, observability, and automation. Work with CI/CD tools, containerisation technologies like Docker, and orchestration platforms like Kubernetes. Monitor system performance, identify bottlenecks, and help ensure uptime and reliability. Troubleshoot incidents in production environments and implement long-term fixes. Collaborate with development, QA, and infrastructure teams to improve system resilience and performance. What We’re Looking For A Bachelor’s degree in Computer Science, Engineering, or a related field (Grade 7/10 or above). A basic understanding of system administration, networking, or cloud services (e.g. AWS, Azure, GCP). Familiarity with scripting languages such as Python, Bash, or PowerShell. An interest in automation, system monitoring, and CI/CD best practices. Fluent English communication skills (written and spoken). Completed Greek military service, if applicable. (Due to the nature of our client commitments in Greece — including long-term placements and time-sensitive onboarding — we require all candidates who are subject to mandatory national service to have either completed or been formally exempted from it prior to joining.) Applicants must have the permanent legal right to live and work in Greece at the time of application and on an ongoing basis. Unfortunately, we are u

Role/Responsibilities: We are seeking a quantitative researcher to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production Requirements: Bachelor’s, Master’s or PhD degree in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset Commitment to the highest ethical standards About Point72: Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

About the Team The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term t

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next. This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact. RESPONSIBILITIES Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales. Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fund

QUI SOMMES-NOUS Artefact 3000 est l’agence créative intégrée d’Artefact qui combine le talent créatif au savoir-faire data & IA. L’agence puise son inspiration dans le réel et les insights précis pour concevoir des idées qui résonnent et marquent les esprits sur tous les terrains de jeu créatifs, de l’IA aux médias intemporels. Basée à Paris, Artefact 3000 compte 65 collaborateurs et accompagne ses clients dans la définition de leur stratégie de communication, la conception et le déploiement de campagnes intégrées, l’animation des réseaux sociaux, et la production digitale (contenus, expériences digitales, sites web). Le planning chez 3000 Le planning au sein de 3000, c’est une mission décomposée en 3 tiers : Accompagnement annuel de nos clients : copy strat, brief créatifs, analyse de cible et tendances, bench pub Accompagnement sur les appels d’offre Accompagnement ponctuel sur des missions “avec le conseil” pour apporter de la culture conso sur des sujets de marketing stratégique ou sur des projets d’”innovation IA” Par accompagnement, nous entendons : être embarqué avec un planneur et apprendre le métier en l’accompagnant. Faire des benchmarks, comprendre les catégories, décoder les tendances, s’immerger dans les réseaux sociaux, apprendre à formaliser sa pensée à travers des éléments simples qui sauront influer un brief créatif. Profil Passionné.e de pub. Avant tout. Forte curiosité et esprit critique pour les outils IA Ayant déjà effectué un stage de 6 mois au planning dans une agence créative Option : diplômé(e) d’une École de Commerce ou d’une École de Communication Pourquoi nous rejoindre ? Artefact est l'endroit où il faut être : venez construire l'avenir de la com dans la seule agence de pub appartenant au leader européen de l’IA. Progression: chaque jour offre de nouveaux défis et de nouvelles opportunités d'apprendre Culture: rejoignez la meilleure équip