Engineer Senior Jobs

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Example Projects: Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy Ship tools that accelerate the growth of new qualified contributors on Scale's platform Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI/U

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Example Projects: Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy Ship tools that accelerate the growth of new qualified contributors on Scale's platform Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI/U

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Join us and be a member of the team that tests the development tools used to create every PlayStation® game. This is a great opportunity to continue a career in Software Testing, working on industry leading development tools and being mentored by experts in their field. What you’ll be doing Developing tests for new applications, new features and regressions. Developing test strategies with application teams. Automating tests as part of our continuous integration systems. Investigating issues and creating reproducible test cases. Conducting manual, exploratory testing. Reporting test results clearly (including performance and coverage). Developing tooling to help reduce test time and ease test execution. Make suggestions and recommendations for improvements to help shape the finished product. Collaborate with global, cross-functional teams in a multicultural environment to develop organisation-wide test strategies and infrastructure. Mentoring peers, sharing best practices, and influencing quality engineering approaches. What we are looking for 5+ years experience in developing tests for software applications. Experience of automating tests. A good understanding of software testing techniques. Good C# programming skills. Understanding of C++. Experience in triaging

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Growth Platform is how DoorDash, Wolt, and Deliveroo market as one. We're building a single AI-native marketing platform across all three brands, unifying customer data, intelligence, and execution so every partner team can launch faster, personalize better, learn continuously, and scale wins across brands. The scope is global, the ambition is large, and we're only getting started. We're hiring backend engineers who want to be at the front line of what engineering looks like in the age of AI. 💡 Why Growth Platform? An AI-first team by design. We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a focused team can ship. Real ownership, real impact. Growth Platform powers marketing across DoorDash, Wolt, and Deliveroo, reaching millions of users daily. You'll own features end-to-end, from the idea through production, and see your work matter at scale across three brands. Cross-org engineering at the frontier. We work across DoorDash, Wolt, and Deliveroo to unify customer data, intelligence, and execution into one platform. This is en

About PostHog PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including: A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking PostHog MCP for users and their agents to query and act on their product and business data Data warehouse so users can query product and customer data together using custom SQL insights. We are: Product-led . More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient gro

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: Software Engineer | Java Developer 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements Bachelor's or Master's Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 1 year experience of software development experience (Java Programming) is preferable for this post Strong understanding of computer science fundamentals (operating systems, network principles, data structures, and algorithms) Programming Languages: Spring Core, Spring Boot, Spring Security Cloud Platforms: AWS and Azure Frameworks: Common open-source frameworks and tools such as Kafka, RocketMQ, Dubbo, Zookeeper, and Redis. Deep knowledge of MySQL, including schema design, SQL optimization, and database scaling strategies. Job Responsibilities ( Software Developer / Java Backend Engineer) Design & Development Take ownership of the design, development, refactoring, and performance optimization of core system components, delivering high-quality and maintainable code. Technical Innovation & Problem-Solving Research, design, and implement innovative solutions to address complex business and technical problems, particularly in high-concurrency scenarios. System Architecture Contribute to system architecture decisions, focusing on scalability, high availability, and fault tolerance. Full-Lifecycle Part

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

OpenAI’s Health AI team is working to ensure that advances in AI meaningfully improve health for everyone. We build AI systems that help people better understand and navigate their health while setting a high bar for safety, reliability, privacy, and user trust. On the Consumer Health team, we’re building health experiences directly into ChatGPT. People can use ChatGPT to understand health information, prepare for appointments, make sense of changes over time, and have more informed conversations grounded in their own health context. Our work sits at the intersection of consumer product engineering, AI, and healthcare. We work closely with product, design, research, safety, privacy, and other ChatGPT teams to build experiences used at global scale. About the Role We are looking for product-minded software engineers to build the next generation of consumer health experiences in ChatGPT. You will own products and features end-to-end, from early prototypes through polished experiences used by millions of people. We welcome specialists in mobile, frontend, or full-stack development; you can focus on the area where you have the most depth. This role is ideal for engineers who care deeply about craft and user experience, move quickly from idea to product, and are excited about making complex health information understandable and useful. Prior healthcare or AI experience is not required. In this role, you will: Design and build consumer health experiences across ChatGPT, including mobile, web, and full-stack product surfaces. Own features end-to-end, from early product exploration and prototyping through implementation, launch, measurement, and iteration. Build intuitive experiences for helping people understand and interact with complex personal health information. Work closely with product managers, designers, researchers, and safety experts to translate emerging AI capabilities into useful consumer products. Build experiences that let people connect their medical record

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role The Upfunnel team builds pre-checkout experiences that help shoppers understand Affirm on merchant sites. As a Software Engineer I, you will contribute to reliable, accessible, and performant experiences across Affirm.js, promotional messaging, experimentation, and developer-facing frontend tooling. What You'll Do We are looking for a collaborative, curious Software Engineer I to build reliable and scalable frontend experiences that make Affirm’s value clear before checkout. · You will build and improve high-traffic frontend experiences across Affirm.js, promotional messaging, experimentation, and developer-facing tooling. · You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. · You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. · You will use browser debugging, monitoring, metrics, and testing tools to maintain reliable cross-browser experiences and contribute to operational issues with your team. · You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For · You have previous work or internship experience shi

About the Team Our mission is to provide a world-class development experience that makes DoorDash's mobile engineers among the most productive in the industry. We achieve this by creating the libraries, tools, and frameworks that enable our product teams to ship features quickly and reliably. Because their success is our success, we are deeply invested in building a strong, collaborative mobile community that champions best practices and welcomes participation. About the Role As a Software Engineer on the Developer Experience team, you will build the foundational pieces for all DoorDash Mobile applications. These include runtime libraries, build systems, and development tools. You will work closely with engineers, technical product managers, and engineering managers across all parts of the engineering organization to deliver large and impactful initiatives. Additionally, you will be a culture carrier for our Mobile engineers through mentorship, education, and engagement of your peers. You will report into the Engineering Manager of our Mobile Foundations team in our Developer Platform organization. You must be located in either San Francisco, CA, Sunnyvale, CA, Los Angeles, CA, Seattle, WA, or New York, NY. You’re excited about this opportunity because you will… Shape the future of Mobile Development. You will have a direct and meaningful impact on the daily workflows of every mobile engineer at the company, enhancing their productivity and overall developer experience. Build from the ground up. You will architect and implement foundational libraries, cutting-edge build systems, and innovative development tools that serve as the bedrock for all of our mobile applications. Solve complex, high-impact challenges. Y ou will tackle some of the most significant technical hurdles in mobile engineering, and the solutions you deliver will be leveraged by hundreds of engineers across numerous product teams. Act as a force multiplier. Your work will directly empower product te

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Contribute to team strategy, roadmap, tooling, process, and culture. Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering velocity and cost. Innovate, design and implement software solutions that contribute towards improvement in infrastructure resiliency, reliability, efficiency and management at scale. Uphold our high engineering standards and improve our codebase and processes. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field, plus 5 years of progressive, post-baccalaureate experience in Software development. Must also have 5 years of experience in each of the following: Developing, maintaining and debugging distributed systems built with open source tools; Building infrastructure as a product centered around users’ needs; Scaling distributed systems; Breaking down large complex systems; Identifying shortcomings and optimization opportunities to make data driven cost performance tradeoffs to influence design decisions; Building and operating infrastructure and tools that empower developers; Working in a development team in AWS, Azure, OCI or GCP; and Programming languages: Ruby, Go, Python, or Java. Salary: $206,086.00 - $285,600.00/yr This salary range represents the base salary range for the role

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

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 Corporate Security at Ramp owns the security of our internal environment: the device fleet, the identity and access layer, and the AI tools employees use for their work. We are hiring a Systems Engineer to build and operate the controls across these systems. The role is hands-on, writing code and building agentic loops wherever possible rather than solving problems manually. You will help manage device configuration and patching via configuration-as-code, authentication and authenticator policies in Okta, network and gateway enforcement in Cloudflare, and the controls around our enterprise Claude and OpenAI deployments. These systems overlap heavily in practice, and the work is largely about integrating them and automating what would otherwise be manual administration. You will report to the Corporate Security lead and work closely with IT, Security Engineering, and AI DevX. What you'll do Maintain update policies for both OS and software, and monitor the fleet so that newly introduced applications are brought into the patching cadenc

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Montreal Strong knowledge of CS fundamentals Excellent communication skills Passion for community, sustainability, and/or transportation Ability to thrive in a startup environment Contributions to open source projects Experience working with databases Experience solving real-time technology problems Experience with mobile development Must be fluent in spoken and written English and have a working proficiency in French Benefits: Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off Subsidi