Research Engineer In Data Jobs

Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic-testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU, storage, GPU, and network lifecycle management to drive efficiency, accountability and dynamic optimization of our resources. Implement fault-tolerant and resilient design

Work Flexibility: Hybrid or Onsite Join our engineering team in Advanced Operations and help ensure the accuracy, reliability, and effectiveness of measurement and inspection processes that support product quality and manufacturing excellence. In this role, you will apply your metrology expertise to support engineering, quality, operations, and supplier quality teams while contributing to continuous improvement initiatives and the adoption of advanced inspection technologies. What You Will Do Support metrology and engineering research activities, including the evaluation and implementation of new measurement and inspection technologies. Conduct and analyze measurement system studies, inspection data, and gauge repeatability and reproducibility assessments to help optimize manufacturing processes. Develop and improve metrology tools, methods, and processes that increase measurement capability and reduce inspection-related variation. Provide technical guidance to engineering, quality, operations, and supplier quality teams on measurement methods, inspection strategies, and measurement-related issues. Create, validate, maintain, and troubleshoot coordinate measuring machine (CMM) inspection programs and related inspection software. Support investigations related to complaints, nonconformances, and corrective actions through inspection, measurement analysis, and technical expertise. Review CAD models and engineering drawings, applying geometric dimensioning and tolerancing (GD&T) principles to support product development and manufacturing. Maintain metrology procedures, including measurement system analysis documentation, and support inspection and calibration activities for measurement equipment and custom gauges. What You Will Need Required Qualifications Bachelo

About the Team OpenAI is on a bold mission to build the world’s most advanced AI infrastructure. We are seeking a Data Center Network and Structured Cabling Engineer with 10+ years of experience in designing and implementing optimized network and structured cabling solutions at large data centers buildings and data center campuses. The Data Center Engineering team is central to this mission defining infrastructure strategy, driving technical innovation, working with research to set performance benchmarks, and developing reference designs that enable rapid, scalable global deployment. As part of this team, you will help design and deliver next-generation data center infrastructure optimized for AI workloads. You’ll collaborate across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life. Role Summary As a Physical Network & Structured Cabling Engineer, you will own the design, implementation, and quality assurance of structured cabling and physical network infrastructure across OpenAI’s global data center footprint. This role bridges design, construction, and operations, ensuring that every layer of our physical networking from fiber trunks to copper patching meets the highest standards of performance, reliability, and scalability. Key Responsibilities Design and specify physical network infrastructure across data center buildings and campuses, including fiber and copper cabling, network rooms, rack layouts, cable trays, and duct bank pathways. Coordinate with other engineering disciplines to ensure network infrastructure space, power, cooling, and operational requirements are incorporated into the overall design Develop standards, reference designs, and installation guidelines for structured cabling and physical network deployments. Translate logical network architectures and hardware connectivity requirements into scalable physical designs,

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Idaho Semiconductor Manufacturing (Triton) LLC Responsible for shaping long range fab strategy by owning wafer loading models, enabling scenario based capacity decisions, managing business plan governance, coordinating capital and equipment needs, and integrating data, modeling, and crossfunctional alignment to support TD and HVM technology/business roadmaps in F4. Develop and maintain long-range planning models for equipment, capital, space, and layout, providing impacts for leadership reviews. Complete scenario capacity analyses, communicating site impacts, and preparing artifacts with baseline volumes, forces for change, and capital projections. Manage and maintain key technology and construction achievements for all US manufacturing sites. Provide dynamic plan analytics to enable informed decision-making on strategic wafer loading plans by executives and global partners. Perform comprehensive Fab-wide capacity analysis for US Expansion sites, ensuring accurate modeling inputs and collaborating with collaborators. Employer will accept a Master’s degree in Industrial Engineering, Operations Research, Economics or a related field and 4 years of experience in the job offered or related occupation. Position requires: 1. Model development for manufacturing production planning; 2. Developing centralized wafer loading and S&OP planning processes; 3. Capital project evaluation; 4. Cash flow, payback, and ROI analysis; 5. Tableau and Python; 6. Statistical analysis and methods

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a Design Engineer at Ramp, you sit at the intersection of design and front-end engineering. You bring ambitious ideas to life in real interfaces, prototype directly in code, validate with customers, and ship production experiences with a high bar for craft, performance, and reliability. Design at Ramp is AI first and builder led. Work starts in an LLM to clarify intent and constraints, moves into tools like Claude and Cursor to explore and build, is tested with real customers, and then comes into Figma for systems and polish. AI and self-serve research are default parts of the workflow, not side experiments. We are looking for multiple design engineers who think like a designer, code like a front-end engineer, and treat AI as a real collaborator. What You’ll Do Design and build high-craft product experiences: Own key surfaces end to end, from concept through production. Use layout, interaction, and motion to make complex behavior feel simple and safe. Work AI first with Cursor and Claude Code: Use LLMs, Cursor, and Claude Code as y

Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! In this role, you will: Design and build a scalable, efficient, and robust robotaxis dispatch service. Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques. Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems. Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency. Integrate optimization algorithms into the robotaxi platform. Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness. Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field. Proven experience in algorithm development, with a strong emphasis on operational research methodologies. Proficiency in programming languages Java or Kotlin Solid background in machine learning, AI, operational research, and data analysis. Passion for learning new technologies, domains, and challenging the status quo. Strong mathematics skills. Exceptional problem-solving, analytical, and quantitative skills. Bonus Qualifications Experience with GIS and mapping software. Experience in transportation, logistics, or autonomous vehicles. Experience in building/usi

S r. Security Engineer - IAM Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US. Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This job requires daily onsite work at our headquarters in Hyderabad . Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity Success in the healthcare industry is predicated on a foundation of trust. We demonstrate our trustworthiness as stewards of health data through three foundational pillars: security, privacy, and compliance. The successful candidate will design , implement, and support solutions that support the company’s Digital Workplace strategy. The

Senior Python / Agentic AI Engineer Capco: Where Innovation Meets Opportunity Capco is a global leader in consulting, uniquely positioned to drive innovation and transformation in the financial services industry. More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. Our business and technology professionals thrive in a dynamic environment where creativity, collaboration, and cutting-edge solutions are at the heart of everything we do. Experience the Capco difference and explore how you can shape your future with us at capco.com . Capco’s AI Lab The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. It runs applied research (ML and agentic/LLM systems, planning, simulation and evaluation), rapid prototyping and production engineering (APIs, CI/CD, observability, data platforms and cost/latency optimisation), and rigorous evaluation and safety work (benchmarks, red-teaming, monitoring, governance and compliance). The lab also supports client engagements and internal innovation by building demonstrators and reference architectures, transferring technology to delivery teams, publishing technical learnings, and maintaining the shared infrastructure, tooling and best practices that enable reproducible, secure and scalable AI deployment. Responsibilities Design and implement scalable, production-grade Python services that leverage LLMs and Agentic architectures. Design and implement robust agent workflows and orchestration patterns to automate complex business processes in regulated enterprise environments. Build and maintain reliable AI-enabled backend systems , including orchestration layers, tool integrations, knowledge a

About Us: Blockworks is an information platform that sits at the center of the crypto industry. We transform raw, complex data and facts into actionable research, trusted alpha-driven insights, and world-class events. The result is transparency and confidence. Blockworks connects investors and businesses in onchain capital markets. We give businesses a platform to earn trust and provide investors with the information they need to underwrite the asset class. Who You Are: You have a keen focus on backend and API development and Software engineering is your passion. You are a player-coach and a natural leader who understands the technical and human elements that go into great software design. You have a results-oriented attitude and a passion for delivering flawless releases and developing digital product pipelines (CI/CD pipelines). You have a proven track record facilitating engineering teams to increase productivity and quality. You're excited at the possibility of being on the ground floor of the design and development of backend strategies. You bring a passion for designing and maintaining scalable API services that handle large amounts of data elegantly. You love moving quickly in a fast-paced start-up, but you also bring intentionality, sustainability and scalability to your approach as an engineer. What You’ll Do: As a Senior Backend Engineer at Blockworks, you’ll design, build, and maintain the systems that power our products end-to-end. From high-performance APIs to database architecture, you’ll own the backend layer that makes everything else possible. You won’t just be handed requirements, you’ll help define them, scope projects, and make the architectural decisions that shape our technical foundation. Your work will directly impact our research platform ( blockworksresearch.com ) and our media site ( blockworks.co ; 1M+ monthly active users). Every day will look a little different, but in general, you will do things like: Architect, build, and ship backend

About the team The Applied AI Engineering team helps enterprises put Codex to work on their most important engineering workflows. We work alongside customer engineers to turn frontier AI capabilities into systems that improve how software is built, shipped, secured, and operated. Our work spans unfamiliar codebases, legacy systems, data pipelines, infrastructure, and enterprise integrations. We discover where AI can make a meaningful difference, build and prove solutions, and turn what we learn into reusable architectures, tools, and feedback that help shape Codex. About the Role We’re looking for an engineer who enjoys understanding complex systems, building alongside customers, and solving problems where the path forward isn’t obvious. You’ll work directly with technical leaders and engineers to identify valuable opportunities and take them from discovery through implementation and evaluation. You might build a Codex-assisted release review workflow, modernize a legacy data pipeline, accelerate a dependency migration, or connect an agent to the systems and context it needs to investigate production incidents. You’ll combine hands-on software engineering, architecture, and technical leadership to make Codex part of how customers get important work done. Success means delivering the agreed solution, demonstrating measurable improvement, and helping the customer sustain and expand its use. Working with our product, engineering, research, and account teams, you’ll turn deployment experience into evidence that informs improvements to Codex. The position is based in Sydney, Australia , with three office days each week. Relocation assistance is available to new employees. In this role, you will: Lead customer engineering engagements from workflow discovery and architecture through implementation, evaluation, and handoff, with clear customer owners, delivery milestones, and measurable success criteria. Assess customer repositories, data systems, infrastructure, security c

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other parameter-efficient methods) where they match frontier quality, and know when they don't. Predictive difficulty. Build models that estimate how hard a task is for frontier systems before running a single rollout. Measurement for AI data. Build golden datasets, quantify the accuracy and calibratio

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: Foundation AI builds the platforms, services, and infrastructure that enable machine learning and generative AI across Roblox. In this role, you’ll work across areas such as model training and inference, LLM services, Agent infrastructure, data systems, experimentation, evaluation, and developer tooling while learning how to build reliable systems at scale. You’ll design, code, test, launch, and operate production features, partnering with teams across product, research, data, infrastructure, safety, creator, engine, discovery, and economy. You will report to an Engineering Manager within Foundation AI organization. You will: Build platforms and services that power machine learning, generative AI and agentic platform and product experiences across Roblox. Explore emerging technologies, including ML frameworks, LLMs, agentic systems, distributed systems, and GPU infrastructure. Improve the speed, reliability, observability, and cost efficiency of AI development Contribute to systems operating at Roblox scale while balancing quality, latency, reliability, and responsible data use. You have: You have an undergraduate/graduate degree in computer science or equivalent experience

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Develop and automate methodologies to analyze and resolve supply shortages through data mining and planning system insights. Optimize silicon supply plans using industrial engineering tools to ensure inventory distribution across all designs based on Micron strategy. Review and influence demand signals to improve supply fill rates and address shortages. Implement and maintain Fab Device ID (DID) prioritization logic to guide demand and safety stock fulfillment across fabs. Support modeling of trade-off scenarios between Fab constraints to enable flexible capacity planning and minimize trade ratio losses. Integrate Fab stability logic into planning systems and validate related dashboards and KPIs (e.g., Tableau) for performance monitoring. Analyze demand, supply, and shipment trends using statistical tools to identify risks and opportunities to the business revenue plan. Evaluate key demand signals including customer backlogs and forecasts using rule-based and statistical demand analytics engines. Synthesize large volumes of quantitative and qualitative data into actionable insights for leadership and cross-functional teams. Evaluate inventory mix to identify slow-moving, orphaned, overstocked, or quality-hold inventories and collaborate with stakeholders on resolution strategies. Employer will accept a Master’s degree in Industrial Engineering, Operations Research, Supply Chain or a related field. Position requires: 1. Operations Research skills in one of the following: Linear Programming, Queuing Theory, Statistical Anal

Human Factors Engineer Description - This role is responsible for shaping the usability and overall user experience of physical products or systems. The role requires a strong blend of human factors expertise, research rigor, and user empathy. The role collaborates closely with cross-functional teams, including designers, product managers, engineers, and stakeholders, to create user-centered design solutions that meet both user needs and business objectives. The role conducts thorough user research to uncover insights, behaviors, and pain points, translating findings into actionable design solutions. Responsibilities Plans, designs, and conducts usability studies and human factors evaluations across multiple stages of product development. Executes formative and summative usability testing, including protocol development, participant recruitment, data collection, and analysis. Leads human factors validation activities in alignment with relevant standards. Applies quantitative and qualitative research methods to generate actionable insights. Analyzes research data and translates findings into clear, practical design recommendations. Prepares and delivers research reports and presentations for cross-functional stakeholders. Collaborates with industrial designers, engineers, and product managers to integrate user insights into product development. Benchmarks product usability and experience against key competitors. Identifies and surfaces usability risks early in development to reduce downstream cost and rework. Supports continuous improvement of research processes, tools, and best practices. Education & Experience Recommended Four-year or Graduate Degree in Design, Human Fac

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We are seeking a Security Engineer to evolve Snorkel's security posture across our cloud infrastructure, developer platform, and product ecosystem. You will partner with the security lead to secure cloud environments, build security automation, guide cross-functional initiatives, and embed security into our engineering workflows. You will work across infrastructure, platform, product, and application teams to ensure our systems scale securely and meet the bar required for modern, cloud-native, compliance-focused environments. This is a high-impact role where your ability to work effectively with others matters as much as your technical depth. Key Responsibilities Build and scale Infrastructure as Code (IaC) governance strategies that embed security while enabling developer velocity Operate and tune Cloud Security Posture Management (CSPM) tooling and coordinate remediation through engineering teams Investigate security events , triage incidents, identify root causes, and own remediation through resolution Architect secure AWS cloud account structures — landing zones, multi-account patterns, network segmentation, and cross-account role strategies Design and implement network security architectures using security groups, Network Access Control Lists (NACLs), subnetting, routing layers, and egress controls Establish secure-by-default design patterns across Kubernetes and containerized workloads Design, maintain, and govern Identity and Acces