Staff Research Engineer Jobs

DR ASHWANI KUMAR VIJ : Have been retained by a Well Established, Fast Growing, Mid Size, Professionally Managed and Listed Organisation, manufacturing, marketing and exporting a range of High Quality light Engineering Products and having state of the art manufacturing facilities and ISO Certification for its Domestic and International customers to select 1 Chief Financial Officer ( CFO ) and Preferably for joining in December,2025. KRA for this Senior Management-Executive Leadership role : -Take responsibility (either directly or via staff and would be Supported by a Young Team of High Performing Professionals ) for all cash management, investments, insurance, budgeting, and financial reporting, and help drive the company’s financial strategy and hiring needs. -Coordinate development of annual operating, capital, and program budgets, as well as reporting for the same. -Ensure cash flow is compatible with operations by overseeing day-to-day accounting, recording, reporting, and internal-control activities of the organization. -Would understand and analyse the the current accounting Practices and Trends. -Develop and implement best practices and tools to ensure a well-controlled yet flexible organization that has strong fiscal management, project coordination, cross-team communications, and workflows. -Comply with national and local financial requirements by studying existing and new legislation and taking appropriate action. Job Responsibilities : -Work with senior managers to efficiently develop budget proposals, provide access to project finance information, and ensure contract/grant compliance and reporting. - Research revenue opportunities and economic trends, analyze internal operations, and identify areas for cost reduction and process enhancement. -Perform risk management through analysis of company liabilities and investments, and evaluate and manage capital structure and fundraising initiatives. -Monitor business performance with tracking tools

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Youth team is focused on making AI safe, useful, and empowering for young people. Our work spans foundational protections—including age assurance and always-on safety—as well as new learning and education experiences. We’re also exploring how OpenAI’s technology can support K–12 schools, educators, classrooms, and collaborative learning. About the Role We’re looking for a staff-level product designer to shape how young people safely engage with AI and help define OpenAI’s emerging education experiences. You’ll work across immediate product needs and ambitious zero-to-one opportunities, from age-appropriate safety systems to tools for learning and group work. A high craft bar is imperative. You’ll be expected to pair exceptional interaction and visual design with deep product thinking—turning complex questions around safety, learning, and institutional needs into experiences that feel clear, trustworthy, and engaging. This is a highly generative role for someone who can move from early exploration to concrete, high-fidelity product direction. You’ll partner closely with product, engineering, research, safety, policy, and design to establish durable patterns for a space that is still being defined. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role you will: Establish an exceptionally high standard for craft across OpenAI’s youth and education experiences. Lead end-to-end design for products that help young people use AI safely, confidently, and productively. Design clear, age-appropriate experiences for safety, age assurance, and other sensitive or high-trust interactions. Shape zero-to-one K–12 experiences spanning school districts, educators, classrooms, collaborative work, and builder-style workflows. Turn emerging ideas into compelling concepts, prototypes, and high-fidelity product experien

About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We're at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, chandra, surya, marker, and lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview Datalab is growing extremely quickly, and as we grow, we outgrow our processes every few months. We're looking for a Founding Business Operations hire to find where the business is straining and fix it — designing, running, and improving the operational machinery underneath a fast-scaling company. This is a true generalist role, and the target will move as we scale. You'll own whatever the highest-leverage operational gap is at a given moment. Right now, that's our revenue and metrics layer: our pipeline and customer data need a real owner, inbound leads need to be captured and followed up reliably, and leadership needs consistent visibility into how the business and our launches are performing. That's where you'll start and where you'll have the most impact in your first few months. In two or three months the biggest gap may be somewhere else entirely — and you'll be the kind of person who's energized by that, not unsettled by it. You'll work directly with leadership and partner across sales, engineering, research, finance, and our Chief of Staff. If you're ambitious, analytical, and organized, this is a uniquely rewarding opportunity to help build an AI business from the ground up. Day to day: A typical week might

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Ship state of the art models to production. Design and implement novel research ideas. Build elegant training/deployment pipelines. Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage Please Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term. As a Machine Learning Intern, you will: Design, train and improve upon cutting-edge models. Help us develop new techniques to train and serve models safer, better, and faster. Train extremely large-scale models on massive datasets. Explore continual and active learning strategies for streaming data. Learn from experienced senior machine learning technical staff. Work c

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level Product Manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor Help engineers and designers deeply understand user needs, empowering them to make great product decisions Craft messaging around upcoming features that resonates with users Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for 6+ years e

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level product manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor Help engineers and designers deeply understand user needs, empowering them to make great product decisions Craft messaging around upcoming features that resonates with users Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for 6+ years e

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 deploy transformative, model‑based solutions to improve frontend yield, quality, and technology ramp performance. Apply virtual structure modeling, process simulation/emulation, and advanced analytics to understand sophisticated lithography‑film‑etch interactions and prescribe actionable process solutions. Leverage AI and data‑driven techniques to accelerate yield learning, process window characterization, and integration optimization. Collaborate with PIE, Process/Equipment, Metrology, and SMAI , and other cross‑functional partners to design, validate, and deploy solutions into manufacturing. Drive solution deployment across sites, including technology transfer and ramp support. Maintain strong engagement in research and development , continuously evaluating emerging modeling, simulation, and AI methodologies for semiconductor manufacturing. Contribute to knowledge sharing, technical mentoring, and capability building within the FE engineering community. Requirements / Qualifications Education Master’s or PhD in Electrical Engineering, Computer Engineering, Industrial & Systems Engineering, Mechanical Engineering, Chemical Engineering, Materials Engineering, Applied Statistics, Applied Mathematics, Operations Research , or other relevant engineering/science fields. Experience More than 5 years of working experien

About the Role: We are looking for a Trade Operations Engineer to join our operations team at NK Securities. This is a hands-on role where you'll help make sure our trading systems are ready every day. You’ll work closely with our tech and trading teams to keep things running smoothly. This is a great opportunity for someone who wants to learn, grow, and take on more responsibility over time. You will be trained by experienced team members and have the chance to lead the operations team in the future. What You’ll Do: Perform daily system checks and ensure everything is running fine before markets open Monitor trading systems and raise alerts if anything looks off Write and improve scripts (mostly in Bash and Python) to reduce manual work Coordinate with tech and trading teams for any issues or updates Work on frontend tools if needed (basic web frontend knowledge is a plus) Take ownership of tasks and make sure nothing is missed What We’re Looking For: Good knowledge of Bash and Python Basic understanding of frontend (HTML/JS/CSS or React is a bonus) Willingness to learn and work hard Responsible and reliable – our systems need to be up and running on time Someone who likes solving problems and automating boring stuff Freshers or candidates with 0–2 years of experience are welcome Why Join Us: Work in a fast-paced and exciting HFT environment Learn directly from experienced developers and traders Opportunity to grow into a leadership role in the ops team Flat team structure – your work will be noticed and appreciated Competitive salary and good learning curve

IT Systems Engineer - Millennium Space Systems Company: Millennium Space Systems Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation. Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen. Job Summary : The IT Systems Engineer is responsible for designing, developing, and integrating complex systems at every stage of their lifecycle. This individual participates in technical research and development to enable continuing innovation with an eye toward accessibility, optimization, and security, within the infrastructure. To be successful in this position, the ideal candidate should be a highly motivated, results-driven individual who thrives in a cross-team collaborative environment. This position's internal job is Sys Design & Integ Spec. Our team is currently hiring for levels 4 or 5. Position Responsibilities: Install and configure operating systems, software, and hardware components, and clearly document the design, maintenance, and support procedures for routine tasks to leverage IT support staff Use expert-level configuration, administration and optimization of hosts and servers to ensure high availability of infrastructure and systems Participate in the design of information and operational support systems Research and recommend innovative, and where possible, automated approaches for syste

Here’s a summary of the role: You are a seasoned AI engineer ready to design, ship, and own production‑grade agentic systems that solve real enterprise problems. At Diligent, you’ll take technical ownership of Compliance in a Box (CiaB) — a flagship AI platform reshaping how organisations manage governance, risk, and compliance at scale. You’ll architect and evolve the AI reasoning layer and agent orchestration framework at the heart of the product, shaping how multiple intelligent agents collaborate, reason, and operate safely in high‑stakes, regulated environments. This is hands‑on, deeply technical work — from system design to prompt strategy to evaluation — not research theatre. Partnering closely with product, security, and platform teams, you’ll make high‑impact decisions, move quickly, and see your work land in production fast. If you’re motivated by ownership, technical depth, and building AI systems that actually matter , this is your chance to set the standard for enterprise‑ready agentic AI. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product Design and implement a 7-agent architecture : OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one These are the essentials you’ll need to get an interview: A degree in Computer Science, Software Engineering, or a related IT discipline Demonstrable understandin

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

Here’s a summary of the role: Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS, and modern engineering practices. You’ll play a leading role within a collaborative product engineering team, owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Own and deliver complex backend services and APIs using Node.js, TypeScript, and AWS , from technical design through release and production support. Contribute to design and architecture discussions, making pragmatic decisions that balance delivery speed, maintainability, scalability, and security. Mentor and support less experienced engineers through code reviews, pairing, technical guidance, and day-to-day collaboration. Work closely with product managers, designers, and engineers across the team to turn requirements into practical, reliable solutions. Use AI tools to accelerate coding, debugging, testing, research, and documentation, while validating outputs carefully and applying sound judgment. Strengthen service reliability, observability, and engineering quality by improving monitoring, incident response, testing, and development practices. These are the essentials you’ll need to get an interview: 5 to 8 years of professional software engineering experience delivering production systems in an agile environment. Strong backend development s

Platform administration isn't the part of the product anyone screenshots for a demo. Nobody's writing a blog post about your identity provisioning flow. But it's the thing every other team at Diligent quietly depends on more than any other dev team in the company and when it breaks, everyone notices immediately. If that kind of quiet, high-stakes ownership sounds appealing rather than thankless, keep reading. This role is for someone who wants real skin in the game: you build it, you ship it, you support it. We're a high-initiative team that improves things we see first and asks permission later, building secure, event-driven microservices in TypeScript on AWS, and treating infrastructure as code the same way we treat application code: with rigor, not as an afterthought. Here's a breakdown of what you'll do (not all of it, just the important stuff) Design and build secure, scalable full-stack services using AWS serverless tech (Lambda, SQS, API Gateway) — with real attention to event-driven patterns and observability, not just "does it work on my machine." Own your services in production. That means building good observability, keeping an eye on alerts, and responding to them before they become bigger problems. Build infrastructure as code with AWS CDK and push for CI/CD that ships safely and often — not "big bang" releases you have to pray over. Design RESTful APIs other teams will actually want to consume: clear contracts, sane versioning, no surprises. Write tests — unit, integration, end-to-end — as part of how you build, not a chore you do after. Show up to architecture discussions with opinions and documentation, not just vibes. Use AI tools to move faster on coding, debugging, testing, and research — but you're still the one who validates the output. These are the essentials you'll need to get an interview 2-3 years of professional software engineering experience in an agile, full-stack-focused environment. Solid full-stack fundamentals: request lifecycles, d

Here’s a summary of the role: Build cloud software that matters, grow your technical depth, and use modern AI tooling to do your best work. This is a hands-on engineering role for someone who enjoys solving product problems, writing clean code, and helping services run reliably at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS , and modern engineering practices. You’ll be part of a collaborative product engineering team where you can own features, contribute to design discussions, support production systems, and keep growing across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Design, build, test, and improve backend services and APIs using Node.js, TypeScript, and AWS . Take ownership of well-defined features from planning through release, including code quality, deployment, and production support . Work closely with product managers, designers, and other engineers to turn requirements into practical, reliable solutions. Contribute to technical design conversations, code reviews, and engineering standards that keep the team moving well. Use AI tools to speed up research, coding, debugging, testing, and documentation, while checking outputs carefully and applying sound judgment. Help keep systems secure, observable, and maintainable by improving monitoring, reliability, and day-to-day development practices. These are the essentials you’ll need to get an interview: 3 to 5 years of professional software engineering experience building production applications in an agile environment. Strong backend development skills with Node.js and TypeScript, including experience building APIs or microservices. Experience with React or Angular in a product engineering environment. Hands-on experience with

Who we’re looking for and why now? A great writer who gets technical stuff – and loves figuring out how to explain it to other people. We have a strong writing culture, and writing as marketing has worked ridiculously well for us. We have a newsletter with over 100k subscribers, active social accounts, and real SEO and AEO authority. Hundreds of thousands of people visit our website every day. If you join, you won't spend a year building an audience before anyone reads you. We can and like to be opinionated about what we think best practice is and thousands of developers look to us to provide them opinion. The problem is we're at capacity, and there's a long list of content we're neglecting because of it. We used to do more tutorials. Use case guides people keep asking us for. Overall, we have a lot to write about. PostHog has grown from product analytics into a broad platform for engineers, and we're building everything from AI agents and error tracking to data infrastructure at huge scale. We're also open by default, so we're unusually happy to share what we've learned along the way. We want someone who can turn all of that into genuinely useful technical content. Simply put, you're a writer . You care about the craft, have opinions about what makes technical content actually great, and have a portfolio that proves it. What you’ll be doing You'll research and explain use cases, technical concepts, and how things actually work. One day that might mean digging into how our engineers rebuilt part of our data warehouse. Another could be explaining the difference between logs and traces, writing a tutorial for a PostHog use case, or figuring out the best way to explain what a context warehouse is. You'll need to be comfortable getting into technical details, but you don't need to be an engineer. The important bit is that you're curious enough to understand technical concepts properly and a good enough writer to explain them simply. Day to day, it looks like: Writing co