Production Operator And Manual Assembler Positions Jobs

About the Role Lead a team of AI Infra (Systems Engineers) at Together based out of our office in Amsterdam, you and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability Manage, develop and coach the SRE Team. Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI’s infrastructure Requirements 7+ years of professional SRE or related experience Ideally 2 years as a Lead SRE Bachelor's degree in Computer Science or a related field or equivalent work experience Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Advanced knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tu

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly. We are looking for a Discovery Technical Operations Specialist to join our Litigation and Regulatory team and help build out Anthropic's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to be a part of a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our discovery leads, litigation and regulatory counsel, outside counsel, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of Anthropic's broader information governance program, including data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape. The right person for this role will be equal parts technical operator and operational project manager. Key responsibilities Build and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, rev

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Software Engineer, Mission Autonomy to develop the software that translates mission objectives and operator goals into reliable autonomous behavior. You will design and implement mission-planning, decision-making, task-execution, and contingency-management capabilities for Mach’s autonomous aerial platforms. Your work will connect high-level mission intent with vehicle autonomy, flight software, perception, communications, payloads, and ground-control systems. This is a broad software-engineering role for someone comfortable working across system boundaries. You should be able to write production-quality C++ and Python, reason about complex autonomous behavior, debug integrated software and vehicle systems, and take capabilities from initial concept through simulation, flight test, and operational deployment. Key Responsibilities Design, implement, test, and deploy mission-autonomy software using modern C++ Use Python to develop tooling for analysis, simulation, test automation, and mission evaluation. Develop software for mission planning, task sequencing, behavior orchestration, state management, and autonomous mission execution. Build decision-making and contingency-management systems that respond appropriately to

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the role The Product Certification Specialist owns the full lifecycle of product certification and compliance for Lab37’s robotic food-production systems. This role develops and maintains the company’s compliance strategy across sanitation, electrical safety, and operator safety, translating national standards, local health-code requirements, and business needs into practical product requirements and internal processes. The Product Certification Specialist works closely with Engineering, Product, Manufacturing, Operations, certification bodies, and local regulators to ensure products are designed, documented, tested, manufactured, and deployed in accordance with applicable requirements. What you’ll do Own product certification: Manage the full certification lifecycle for NSF sanitation, electrical safety, and operator-safety requirements, including certification planning, third-party evaluations, testing, findings resolution, approval, and ongoing maintenance. Develop the compliance strategy: Review and update the company’s compliance approach by combining business and product needs with applicable national standards, certification requirements, customer expectations, and local health codes. Translate requirements into product plans: Convert regulatory and certification requirements into clear engineering requirements, design-review criteria, verification plans, acceptance criteria, and certification evidence. Build lightweight internal compliance systems: Develop practical processes f

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 Supply is responsible for knowing everything happening in the compute market: who's building, who's buying, and on what terms. This role owns a specific and fast-moving slice of that map — emerging clouds and international markets — and owns the full relationship lifecycle in that space, from first outreach through to closed terms. RESPONSIBILITIES Build and maintain a real-time picture of the emerging cloud and international compute landscape — who's active, what they're building, and what terms are available Own the full partnership lifecycle in this space — from identifying and sourcing new providers, to negotiating terms, to ongoing relationship management Develop and manage relationships across a broad set of emerging and international providers, from account reps up through leadership Identify, structure, and help close opportunities where Baseten can move quickly to secure favorable capacity terms Define compelling value propositions tailored to different types of providers, rather than a one-size-fits-all pitch Partner closely with others in the team already covering this space to build out a durable, well-organized intelligence and relationship function Collaborate with the broader Supply and Deals functions to bring opportunities to the table and support negotiation when it's time to close REQUIREMENTS Equal parts relationship-builder and operator — you can open a door and also drive it all the way to

About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned world-class leader and operator to architect and expand our partnership ecosystem and transform how Scale goes to market globally. This leader will build high-impact relationships with world-class partners, focused on professional services firms, to accelerate the development of AI applications with Scale. We are looking for a revenue-minded leader to own GSI-sourced and GSI-influenced pipeline. You should be able to set the strategy and also run the operating cadence it takes to turn alliance agreements into closed revenue: joint account plans, co-sell motions, practice building, and delivery enablement. You will source, evaluate, negotiate, and execute partnerships covering go-to-market, joint solutions, and delivery areas. This is a highly cross-functional role, as you will collaborate across internal teams including product, engineering, finance, legal, marketing and operations. You will Define and deliver the strategy and roadmap for Scale's GSI partnership program, including partner selection, tiering, and investment priorities Build trusted relationships with alliance leaders, AI practice leads, and C-level executives at top GSIs and consultancies Structure and negotiate alliance agreements (e.g., resale, referral, co-sell, joint go-to-market, and delivery partnerships) and get cross-functional alignment on terms Build joint account plans with GSI partners for Scale's priority Enterprise accounts and drive co-selling with Scale's sales teams Help partners build Scale-certified practices: training, technical enablement, certification, reference architectures, and repeatable delivery playbooks Co-develop industry-spe

About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned leader and operator to own Scale Enterprise's partnerships with frontier AI labs and foundation model providers. This leader will build and turn our lab relationships into a go-to-market and technology advantage for the Enterprise business. This is a revenue-minded role. You will build joint go-to-market motions with model providers, structure technology and commercial partnerships, and make sure Scale is the preferred partner for taking lab models into production at enterprise scale. You need to be strategic, technically fluent, and able to execute in a fast-moving, competitive market. This role is highly cross-functional. You will work closely with Enterprise sales, product, engineering, research, finance, legal, and marketing. You will also coordinate with Scale's broader relationships with these labs. You will Define and deliver the strategy for Scale Enterprise's partnerships with frontier AI labs and foundation model providers Build trusted relationships with go-to-market, partnerships, applied AI, and executive leaders at partner labs Structure and negotiate partnerships covering joint go-to-market, co-selling, referrals, model access and commercial terms, and technical integrations Build joint offerings that pair partner models with Scale's applications, evaluation, and data capabilities to speed up enterprise deployments Set up co-sell motions and rules of engagement with lab enterprise sales teams, including joint account mapping and deal registration Generate significant top-of-funnel pipeline through lab partnerships, with clear accountability against Enterprise revenue targets Work with Product, Engineering, and Research so ne

At Lyft, our purpose is to serve and connect. Lyft Urban Solutions designs, builds, and operates bikeshare systems in more than 50 cities worldwide, including New York, Chicago, London, Barcelona, Mexico City, Rio de Janeiro, and Montréal. Our Longueuil facility is the birthplace of BIXI, North America's first automated bikeshare system, and today builds the bikes and stations behind some of the world's largest bikeshare networks. We are looking for an Industrialization Engineer Intern to join our Manufacturing & Quality Engineering team at our Longueuil factory. You will work on the production floor with assembly, warehouse, and quality teams to make our processes faster, safer, and more consistent. You will also be part of a global team that supports factories and suppliers across North America and Asia. Responsibilities: Map current-state material flow and factory/warehouse layout, then propose improvements that reduce waste and operator travel. Run cycle time studies across assembly and warehouse operations to find bottlenecks and improve throughput and line balance. Audit SOP adherence on the floor, identify gaps, and drive corrective actions or SOP updates. Lead 5S audits and implement visual controls and workplace organization standards. Build dashboards that track throughput, WIP, cycle time, and SOP compliance, and turn the data into recommendations. Create visual work instructions, standard work sheets, and layout drawings to support operator training. Support continuous improvement projects, including ergonomic assessments, workstation redesign, and tooling and fixture improvements. Prepare processes for engineering changes (ECOs) and new product introductions, including layout changes and workstation validation. Partner with Quality to investigate production defects and contribute to root cause analysis and PFMEA updates. Experience: Currently enrolled in a Bachelor's or Master's program in Industrial, Manufacturing, or Mechanical Engineering, or a r

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior Manufacturing Engineer, Jet Engine to lead the development and industrialization of jet engine assembly and test systems. You will own manufacturing line design and develop the assembly, balancing, inspection, and end-of-line test processes required to build engines safely, repeatedly, and at production rate. This is a hands-on engineering role. You will work directly with engine hardware to develop manufacturing processes, tooling, fixtures, inspection methods, balancing processes, and test systems, then translate those processes into scalable production equipment. Key Responsibilities Lead manufacturing line design for jet engine subassembly, final assembly, inspection, balancing, and end-of-line testing. Translate product requirements and production targets into process flows, assembly sequences, equipment requirements, cycle times, line layouts, and capacity models. Develop robust assembly processes for turbomachinery and precision mechanical assemblies, including controlled fastening, joining, bearing installation, fits, clearances, alignment, concentricity, runout, and tolerance stack-up. Develop tooling, fixtures, gauges, error-proofing, and process controls to reduce assembly variation and operator dep

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

About the Team GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI models to real business workflows and build the systems that make those applications useful and dependable: customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight. Our work brings together software engineering, applied AI, product, data, and GTM operations. We measure success through the quality of customer engagement, pipeline, conversion, and the effectiveness of our sales and marketing teams. About the Role We're looking for an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs. This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure modes, improve how the system decides or acts, and validate the resulting impact. You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into safer, more effective agent behavior and measurable improvements in customer engagement, conversion, qualified pipeline, and team productivity. In this role, you will: Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes. Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context. Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows. Investigate why a

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the Role Build the software platform that connects kitchen teams, cloud services, and robotic production systems. As a Staff Full-Stack Software Engineer, you will own significant product and technical areas from definition through production. You will work across frontend, backend, cloud infrastructure, integrations, and robot-adjacent interfaces. You will partner closely with product, culinary, operations, robotics, firmware and mechanical teams to turn ambiguous operational problems into reliable software. We are looking for someone who remains deeply hands-on while providing technical leadership like shaping architecture, raising engineering quality, mentoring others, and helping the Los Angeles team scale. What you'll do Own and deliver complex full-stack initiatives spanning user interfaces, backend services, cloud infrastructure, and external integrations. Lead technical design and architecture for new capabilities, balancing speed, reliability, maintainability, and operational simplicity. Partner directly with product, culinary, and operations teams to understand workflows, clarify requirements, and define pragmatic solutions. Build software for configuring, observing, and managing kitchen operations, including order intake, menus, recipes, tasks, alerts, and performance visibility. Integrate with delivery and commerce platforms to receive orders, synchronize menus, and communicate order state. Create and integrate operator-facing and robot-adjacent interfaces used in physical

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. POSITION DESCRIPTION This is not a traditional engineering role. As a Forward Deployed Engineer (FDE), you are at the critical intersection of our code, our clients, and their most critical missions. You will be deployed to our most strategic partners, embedding within their environments to solve high-stakes problems that have no textbook answers. You own the "last mile" of our product's impact , ensuring our technology fundamentally transforms how our users confront challenges such as financial crime, supply chain disruption, and threats to national security. You are equal parts engineer, strategist, and operator. One day you might be architecting a data pipeline within a client's cloud environment ; the next, you'll be writing production Python to integrate our API into a proprietary analytics platform ; and by the end of the week, you could be briefing a C-level executive, intelligence analyst, or mission director on the outcomes your work has enabled. You thrive on ambiguity, operate with extreme ownership, and are relentless in your pursuit of delivering real-world value. You will act as a vital conduit between the front lines and our core engineering teams, turning yo

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. POSITION DESCRIPTION This is not a traditional sales engineering or software development role. As a Forward Deployed Engineer (FDE), you are at the critical intersection of our code, our clients, and their most critical missions. You will be deployed to our most strategic partners, embedding within their environments to solve high-stakes problems that have no textbook answers. You own the "last mile" of our product's impact , ensuring our technology fundamentally transforms how our users confront challenges such as financial crime, supply chain disruption, and threats to national security. You are equal parts engineer, strategist, and operator. One day you might be architecting a data pipeline within a client's cloud environment ; the next, you'll be writing production Python to integrate our API into a proprietary analytics platform ; and by the end of the week, you could be briefing a C-level executive, intelligence analyst, or mission director on the outcomes your work has enabled. You thrive on ambiguity, operate with extreme ownership, and are relentless in your pursuit of delivering real-world value. You will act as a vital conduit between the front lines and o

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. POSITION DESCRIPTION This is not a traditional sales engineering or software development role. As a Forward Deployed Engineer (FDE), you are at the critical intersection of our code, our clients, and their most critical missions. You will be deployed to our most strategic partners, embedding within their environments to solve high-stakes problems that have no textbook answers. You own the "last mile" of our product's impact , ensuring our technology fundamentally transforms how our users confront challenges such as financial crime, supply chain disruption, and threats to national security. You are equal parts engineer, strategist, and operator. One day you might be architecting a data pipeline within a client's cloud environment ; the next, you'll be writing production Python to integrate our API into a proprietary analytics platform ; and by the end of the week, you could be briefing a C-level executive, intelligence analyst, or mission director on the outcomes your work has enabled. You thrive on ambiguity, operate with extreme ownership, and are relentless in your pursuit of delivering real-world value. You will act as a vital conduit between the front lines and o