Member, technical staff jobs in San Francisco, CA

Salary Range: $180k - $250k, dependent on experience + generous equity. We are actively recruiting a Senior Backend Engineer for our client, a high-traction B2B SaaS company that recently secured its Series A funding. This role is critical to scaling the company's core platform as they onboard major enterprise clients and compete for an RFP with a public company. We are looking for a highly confident, knowledgeable, and pragmatic engineer with a "can-do" attitude. 💻 Key Responsibilities and Impact The primary focus of this role is to build and scale the platform for enterprise clients. This person will own crucial components needed to handle a projected 10x system scale within the next three to six months. Focus Areas: HR System Integration and Data Modelling: Owning integrations with various HR systems (e.g., Workday, Bamboo HR) and ATS platforms. You will be responsible for building a robust data model to create a "system of record" for tracking the entire immigration history (from student to H1B renewal to Green Card) of foreign nationals within client companies. Scalability: Addressing significant scalability challenges across the entire system-from database services to APIs-to support thousands of new employees and hundreds of foreign nationals from new enterprise customers. Enterprise Functionality & Features: Developing new features, including essential enterprise requirements like implementing support for Enterprise Single Sign-On (SSO). 🛠️ Technical Stack and Requirements Core Backend Stack: Python FastAPI and Postgres for the database. Expertise in Python is preferred. Experience Profile: Ideal candidates have a strong background working with enterprise or B2B SaaS products. Experience with business intelligence or HR software is a plus. Testing & Quality: You must be comfortable with testing and have experience setting up or improving integration tests through APIs, as this is currently a focus area for the team. DevOps Comfort: Must be comfortable and willing to take on different hats, including basic DevOps tasks, as the team does not have a dedicated DevOps engineer.

🚀 Staff Software Engineer (TypeScript) - Member of Technical Staff 📍 SF | 💰 $200K-$300K + Equity | 🩺 Full Benefits | 🌴 Unlimited PTO | 🧭 Flexible Work We're partnered with a next-generation AI automation company building intelligent agents that redefine how complex workflows are executed. With $10M+ in funding and an elite engineering team (MIT alumni, ex-Meta), they're entering a stage of hypergrowth! This is a hands-on Staff/MTS role for someone who wants to set technical direction, own platform architecture, and ship core systems that power both developer and no-code automation experiences. 🧩 What You'll Own Own major architecture & platform decisions End-to-end TypeScript (Node / Nest / Express / React / Next) APIs, SDKs & no-code automation tools Event-Driven Architecture & IaC Streaming Systems, Workflow Orchestration & Durable Systems Advanced RAG pipelines & data orchestration layers End-to-end feature ownership across backend, frontend & workflows Testing excellence & CI/CD with Cypress, Playwright & modern pipelines Technical leadership, mentorship & engineering standards 🎯 Who Thrives Here Staff-level engineer with a history of leading complex, cross-system initiatives Deep TypeScript mastery across platform, product & tooling Strong experience with Node, Express/Nest, React, Next, Prisma & modern ORMs Proven success shipping complex APIs, SDKs, dev platforms or distributed systems Reliability-first mindset with strong automated testing Bonus: workflow automation, durable objects, RAG, data pipelines, web scraping Product-driven, pragmatic, and excited to build tools people actually use 💥 Why This Role Is Special You'll shape the core of an AI agent platform from the inside Real architectural authority & ownership Direct access to founders & technical leadership Work with elite engineers tackling genuinely hard engineering problems High compensation, meaningful equity, and long-term impact This is a rare chance to build foundational infrastructure for the future of AI agents alongside a deeply technical, fast-moving team. You'll have real ownership, real influence and the opportunity to shape a platform that is defining how automation is built at scale. If you're excited by hard problems, massive technical leverage, and building systems that matter - we'd love to hear from you.

About the job Staff Software Engineer - SF Bay (4 days onsite) | Up to $195K - $255K + Equity TogetherWeTech is hiring a Staff Software Engineer to take end to end ownership of critical product areas, from architecture through launch, and set the technical direction for how we build at scale. You will drive design reviews, ship prototypes that push our product forward, and establish pragmatic engineering standards that balance speed and quality. Beyond your own contributions, you will mentor teammates into future tech leads and help grow a world class engineering culture. Their mission is to reshape design by streamlining the path from concept to creation, bringing more impactful ideas into the physical world. A well-funded (Series B $51m to date), growing double-digits MoM, and expanding the core engineering team in SF. The surface area is big: realtime collaboration, GPU inference at scale, a modern TypeScript stack, and serving real enterprise What you'll do: Set the architecture roadmap to keep our product reliable, scalable, and a joy to develop in as usage, models, and data grow. Ship hands-on: jump into code for critical paths, rapid prototypes, and hairy debugging (latency, memory, race conditions, WebGL/WASM quirks). Install quality guardrails that scale: test strategy, code-review norms, perf budgets, observability baselines. Mentor and multiply: develop senior engineers into tech leads, model clear written design, and practice crisp decision-making. Partner cross-functionally: represent engineering trade-offs with Product, Design, and Go-To-Market; act as the CTO's delegate when needed. Your toolbox: Frontend: TypeScript, React, Vite, WebGL; realtime collaboration. API/Backend: TypeScript/Node, GraphQL (PostGraphile), Postgres, Redis, background workers. Infra: Kubernetes, Pulumi, CI/CD with GitHub Actions, Datadog for observability, feature flags. Security/Enterprise: SSO/SAML (WorkOS), SOC 2-minded practices. To be considered, 2+ years of Staff Software Engineer role. If you are a passionate and an experienced Staff Softwared Engineer looking to make a difference in a fast-paced and innovative environment, we would love to hear from you! Better Together🟢

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

Hi, Greetings from Solvecube HCM I hope you are enjoying a great day! I am from Solvecube HCM, an AI Based global consulting firm head quartered in Singapore. Our client is a Healthcare AI Startup based in San Francisco, USA and looking for a great tech leader as their Principal Engineer. It is a permanent role with client. Your experience at Ambience Healthcare must have equipped you with unique insights and skills that could be a great fit for this role. This opportunity offers a chance to work with a talented team and fixed Salary+Stock options. Key Responsibilities Set technical vision and lead architecture for AI-first platform services. Build advanced systems in LLMOps, reinforcement learning, and AI pipelines. Evaluate and integrate cutting-edge frameworks (LangChain, Hugging Face, RAG). Collaborate with leadership on long-term technology strategy. Mentor senior engineers across India and US teams. Qualifications 10+ years of experience in software/AI engineering, including leadership roles. Deep expertise in PyTorch, TensorFlow, LangChain, Hugging Face. Proven ability to innovate and deliver in startup/scale-up environments. Strong communication and collaboration skills. If this sounds intriguing, I'd love to chat more about it. Feel free to reply to this email or let me know if you'd prefer a quick call. Looking forward to hearing from you soon! If you are not exploring at this moment let me know if you have a strong reference for the same. Please note: The incumbent should be a local citizen or a Green card holder to be eligible. Best regards, Lijy Ronnie Mail me : ******************

What we do Idler builds reinforcement learning environments that teach AI models to code like 0.01% engineers. Make your application after reading the following skill and qualification requirements for this position. Our training environments are based on real-world coding scenarios that frontier models will actually encounter. We've closed a multimillion-dollar contract with a leading foundation lab (the largest they've issued to date). Demand is outpacing our capacity to deliver, so we're scaling the team fast. What you'll do Build agentic systems that create and QA coding environments at scale. Most of your day will be spent designing these systems to be extremely sound. A big part of our work is thinking critically about what makes a coding environment and task "good" and "fair". This requires high agency and philosophical thinking alongside technical execution. Concretely, you'll: Design and build scaleable systems that generate RL environments Create automated QA systems to validate environment quality and fairness Work directly with AI researchers at leading labs to understand what makes training data effective Support new product lines as we expand beyond coding environments Staff Engineer Responsibilities & Requirements Lead the process of identifying, specifying, and implementing core technology primitives that maximize the leverage of the rest of the team. Understand and own the technology stack end-to-end. 8+ years of professional software engineering experience. Lead and mentor more junior members of the team. You'll work with The founding team, a founding engineer, and a small group of engineers (we're hiring quickly). You'll have direct access to AI researchers at frontier labs. Tech stack Typescript, React, NodeJS, Postgres, Redis, Vercel, Cursor Benefits Healthcare coverage, 401(k), and 15 days PTO. Meals, coffee, and snacks (that you will actually enjoy) covered during working days. Latest MacBook Pro and equipment. Relocation assistance available. Team offsites and events (we love hanging out). xevrcyc This is an in-person role in San Francisco. We're a tight-knit founding team and we play to win. Join us if you like to win too.

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We are looking for a Sr Staff Software Engineer to join Global Infra TEAM. The group develops and maintains the backend of Global Infra Platform & Cortex products. You will join a team focused on developing, innovating, and scaling the Global Infra Platform, along with contributing to shared network + compute infrastructures and components. We are looking for candidates with a can-do attitude, who are passionate about complex problems and thrive on bringing value to thousands of customers. Your Impact End-to-end backend development of features and core components across their entire life cycle (design, develop, test, deploy, maintain) Collaborate with peers across different teams and disciplines to shape solutions and integrate with other parts of the product Work with customers and provide solutions to their day-to-day work and challenges Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decision Qualifications Your Experience Education: A Bachelor's or Master's (M.S./B.S.) degree in Computer Science or an equivalent technical field. Experience: 7+ years of professional Software Engineering experience, ideally focusing on the development of scalable server-side applications. Programming: Strong programming proficiency in one or more of the following: Python, Node.js, or TypeScript. Database Knowledge: Solid understanding of and experience with relational databases (SQL), MongoDB, and BigQuery. Collaboration: A demonstrated ability to be a team player with strong communication skills for effective collaboration across cross-functional groups. Core Technical Experience Proven experience building and maintaining high-scale server-side applications. Experience utilizing Cloud Platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. Familiarity with CI/CD pipelines and managing cloud infrastructure. Experience with REST APIs (design, development, and consumption). Knowledge of AI/ML pipelines, Data Science principles, and related technologies like Model Context Protocol Preferred Prior experience with containerization technologies, specifically Kubernetes and/or Docker. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $145000 - $235500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

This is a full-time role with a client of Dinan & Associates. This role is with an established company and includes excellent health care and other benefits. Role: Principal / Senior Principal Software Engineer Industry: Biotechnology / Pharmaceutical R&D Location: San Francisco Bay Area (Hybrid) The Organization We are a leading global biotechnology company driven to innovate and ensure access to healthcare for generations to come. Our goal is to create a healthier future and more time for patients with their loved ones. The Position Advances in AI, data, and computational sciences are transforming drug discovery and development. Our Research and Early Development organizations have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Our Computational Sciences group is a strategic, unified team dedicated to harnessing the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative medicines for patients worldwide. Within this group, the Data and Digital Solutions team leads the modernization of our computational and data ecosystems by integrating digital technologies to empower stakeholders, advance data-driven science, and accelerate decision-making. The Role The Solutions team develops modernized and interconnected computational and data ecosystems. These are foundational to building solutions that accelerate the work done by Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage, and sharing. As a Software Engineer in the Solutions Engineering capability, you will work closely with Data Engineers, Product Leaders, and Tech/ML Ops, as well as directly with key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of diverse scientific data, accelerating the discovery and development of life-changing treatments. Key Responsibilities Technical Leadership: Provide strategic and tactical technical leadership for ongoing initiatives. Identify new opportunities with an eye for consolidation, deprecation, and building common solutions. System Design: Responsible for technical excellence, ensuring solutions are innovative, best-in-class, and integrated by delivering data flows and pipelines across key domains like Research Biology, Drug Discovery, and Translational Medicine. Architecture: Learn, deeply understand, and improve Data Workflows, Application Architecture, and Data Ecosystems by leveraging standard patterns (layered architecture, microservices, event-driven, multi-tenancy). Collaboration: Understand and influence technical decisions around data workflows and application development while working collaboratively with key partners. AI/ML Integration: Integrate diverse sets of data to power AI/ML and Natural Language Search, enabling downstream teams working on Workflows, Visualization, and Analytics. Facilitate the implementation of AI models. Who You Are Education: Bachelor's or Master's degree in Computer Science or similar technical field, or equivalent experience. Experience: 7+ years of experience in software engineering (Principal Software Engineer level). 12+ years of experience (Sr. Principal Software Engineer level). Full Stack Expertise: Deep experience in full-stack development is required. Strong skills in building Front Ends using JavaScript, React (or similar libraries) as well as Backends using high-level languages like Python or Java. Data & Cloud: Extensive experience with Databases, Data Analytics (SQL/NoSQL, ETL, ELT), and APIs (REST, GraphQL). Extensive experience working on cloud-native architectures in public clouds (ideally AWS) is preferred. Engineering Best Practices: Experience building data applications that are highly reliable, scalable, performant, secure, and robust. You adopt and champion Open Source, Cloud First, API First, and AI First approaches. Communication: Outstanding communication skills, capable of articulating technical concepts clearly to diverse audiences, including executives and globally distributed technical teams. Mentorship: Ability to provide technical mentorship to junior developers and foster professional growth. Domain Knowledge (Preferred): Ideally, you are a full-stack engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline. Compensation & Benefits Competitive salary range commensurate with experience (Principal and Senior Principal levels available). Discretionary annual bonus based on individual and company performance. Comprehensive benefits package. Relocation benefits are available. Work Arrangement Onsite presence on the San Francisco Bay Area campus is expected at least 3 days a week.

We are looking for a talented Staff Software Engineer to be part of our front-end engineering team developing mobile applications that will be key to our future business. You will be part of a dynamic team using the latest technology and tools to build high-quality applications that delight our customers. We have several new products on the way, and you will be able to make a big impact! Responsibilities:Technical hands-on engineer producing high-quality code following the best architecture and design standards Interact with Product and Design teams to understand the requirements and deliver features Work closely with technical leads and other engineers to ensure that your code fits well with the rest of the application Ensure high quality by thoroughly testing your code including unit testing and partnering closely with the QA team for integrated testing Build code that meets high standards for non-functional requirements like performance and scaling Mentor junior developers using expertise in software development methodology and frameworks. Qualifications:BS or higher in Computer Science, Computer Engineering, Math, or relevant experience 8+ years of software engineering experience, including a successful track record developing customer-facing SaaS/PaaS products. 5+ years of experience with ReactNative, React, Redux, all things JavaScript/TypeScript and the tools of the React ecosystem such as node and npm Prior experience with iOS (Swift/Objective-C) and Android (Kotlin/Java) preferred Experience working with CI/CD pipelines specific to mobile application distribution Exposure to implementing third party event-driven analytics/metrics tools such as AppsFlyer, Google Analytics, and Mixpanel Experience with mobile automated testing frameworks such as XCUITest, Appium, or Maestro Location: Menlo Park, CA (onsite 2 days/week) Employment Type: Full-Time Compensation: $175-200K

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. The Company: Series C AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Job Description Member of Technical Staff - Product Engineer (Hybrid | San Francisco, CA) About the Job Join a high-impact AI team at a pivotal moment. In this hybrid San Francisco-based role, you'll help build the foundation of a new generation of intelligent developer tools - from backend systems to elegant user interfaces. This is a rare 0→1 product opportunity with massive influence on both technology and product direction. What's in it for you? $170,000 - $350,000 base salary Equity in a $200M+ funded, high-growth AI company Hybrid work model - 5 days/week onsite for the first 2-3 months, then 3+ days onsite $250 monthly lifestyle stipend Generous personal development budget for coaching, courses, and conferences Daily team lunches and frequent offsites Flat structure with bi-annual compensation reviews and raises tied directly to impact Join a small, elite engineering team with backgrounds in leading AI, systems, and devtools companies What You'll Be Doing: Build and iterate on product features across the full stack - from front-end UX to backend logic. Conduct user interviews to identify core needs and translate insights into product improvements. Rapidly prototype new ideas and experiment with novel user experiences. Ship high-quality code across multiple environments (web, CLI, IDE). Collaborate closely with designers and product leads to define and shape the product roadmap. Exercise judgment on what matters most - balancing velocity, reliability, and impact. What You'll Need: 2+ years of professional software engineering experience (startups or top-tier engineering teams) Proven experience with React, TypeScript, and Python Strong intuition for great product design and user experience Demonstrated ability to build 0→1 - early-stage startup or founder experience a plus Excellent problem-solving skills and technical judgment Comfortable with ambiguity and capable of working independently Passion for building tools that empower developers and improve how people code Ready to Make an Impact? Help shape the next wave of intelligent software creation - where AI empowers developers, not replaces them.

Who Are We? Postman is the world's leading API platform, used by more than 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration-enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As a Member of Technical Staff and AI Agent Development Lead, you will lead the design, development, and deployment of next-generation AI agents that interact with users and complex environments. You will drive the architecture and implementation of scalable, reliable AI systems, working closely with research, product and engineering teams to build safe, interpretable, and performant AI technology. What You'll Do Lead a cross-functional engineering team focused on AI agent development, from conceptual design to production deployment. Design and implement AI agent architectures leveraging state-of-the-art language models and associated technologies. Collaborate with research scientists on scalable experiments and productize research innovations. Drive the development of agent capabilities including dialogue management, decision making, and autonomy. Ensure AI safety and alignment principles are integrated throughout the agent lifecycle. Mentor and grow technical staff, fostering an environment of collaboration and innovation. Evaluate new tools, frameworks, and methodologies to enhance AI agent capabilities. Partner with product and policy teams to align AI agent features with user needs and ethical standards. About You Proven experience leading technical teams in AI or machine learning engineering, preferably building AI agents or assistants. Strong software engineering skills with proficiency in Python and familiarity with modern ML frameworks (e.g., JAX, PyTorch, TensorFlow). Deep understanding of language models, reinforcement learning, and AI safety/alignment concepts. Experience with scalable system design and cloud infrastructure. Passion for AI safety, interpretability, and user-centered AI development. Excellent communication skills and ability to collaborate across multidisciplinary teams. Preferred: Prior experience working with large language models or conversational AI. Background in research and development of AI alignment or safety techniques. Experience with developer tools and APIs for AI integration. The reasonably estimated base salary for this role ranges from $256,000 to $276,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. What Else? In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We're building a long-term company with an inclusive culture where everyone can be the best version of themselves. At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Hyderabad, and New York, employees are expected to come into the office 3-days a week. We were thoughtful in our approach which is based on balancing flexibility and collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our hybrid office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom. Our Values At Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can. Equal opportunity Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. 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. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Member of Technical Staff, Search Why this role? We are looking for talented individuals to help us develop state-of-the-art models for information retrieval as part of our Search team. This group is working on a range of tasks including training our embedding and reranker models. You'll have the opportunity to revolutionise people's search experience by contributing to building an intelligent, efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas. Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of novel technologies and collaborating with other teams to integrate your work into our search infrastructure. We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past. As a Member of Technical Staff on this team, you will: Design, train and improve upon cutting-edge search models. Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation. Work closely with the model serving team to ensure that inference is fast and stable. Collaborate with product teams to develop solutions. Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals. Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats! You may be a good fit if you have: Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR. Familiarity with training and using various information retrieval models. Experience leveraging Large Language Models as part of training data or evaluation pipelines. Strong communication and problem-solving skills. Bonus points for: Experience building training and/or evaluation datasets for practical use cases. Proficiency in other programming languages, such as C++ or Golang. Experience using large-scale distributed training strategies with GPUs. If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑 💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

About Contextual AI We're revolutionizing how AI Agents work by solving AI's most critical challenge: context. The right context at the right time unlocks the accuracy and production scale that enterprises leveraging AI require. Our enterprise AI development platform sits at the intersection of breakthrough AI research and practical developer needs. Our end-to-end platform allows AI developers to easily and accurately ingest and query documents from enterprise data sources and easily embed retrieval results into their business workflows. Contextual AI was founded by the pioneers of Retrieval-Augmented Generation (RAG), the foundational technique behind the context layer, connecting foundation models to current and relevant information. Backed by the industry's most forward-thinking venture capitalists, we're not just participating in the enterprise AI revolution, we're defining it. Join us in building a future where AI doesn't just answer questions, it transforms businesses. Job Overview The Data Platform team, within the Contextual AI platform organization, powers product development, applied research, and customers' data-intensive workloads. The team designs, builds, and operates foundational data services at Contextual AI. This is a greenfield opportunity to shape the technical direction of the data engineering team at Contextual AI. What you'll do: Design and implement scalable services, APIs, and databases to support the processing and ingestion of petabytes of information daily. Architect and build streaming infrastructure, data orchestration systems, vector databases. Collaborate with ML researchers to understand state-of-the-art (SOTA) requirements for RAG systems, translating them into service specifications. Work directly with product managers and application engineers to understand customer requirements for end-to-end RAG systems, and translate them into technical solutions. Ensure seamless integration with machine learning models and pipelines, enabling efficient model deployment and management. Mentor and guide junior team members, promoting knowledge sharing and professional growth. What we're seeking: Education: At least a Bachelor's degree in Computer Science, Software Engineering, or related field Experience: 2+ years in scaling Kubernetes services, distributed queuing systems, and streaming infrastructure. Proven ability to diagnose distributed vector databases and design systems for low-latency retrieval of image, text, audio, and video vectors. Technical Skills: 2+ years of experience with infrastructure tooling such as Terraform, Kubernetes, Python, Go, or Java. Machine Learning: Familiarity with machine learning concepts and frameworks, including dense information retrieval, document understanding/parsing models, and visual language models. Problem-Solving: Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Communication: Excellent communication and interpersonal skills, with the ability to work closely with cross-functional teams Location: Mountain View, CA Salary Range for California Based Applicants: $180,000 - $250,000 + equity + benefits (actual compensation will be determined based on experience, location, and other factors permitted by law). Equal Opportunity Contextual AI is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Retrieval is the data infrastructure for AI and a critical component in this new software development stack. Chroma proudly serves as the leading retrieval solution, trusted and loved by developers around the world. We're still in the pre-history of AI. We're looking for curious people who are dedicated to becoming world-class at their craft to join our team. There is a lot of important work to do. Join us.

Work With Us At Liquid, we're not just building AI models-we're redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can't: on-device, at the edge, under real-time constraints. We're not iterating on old ideas-we're architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments-your work will directly shape the frontier of intelligent systems. While San Francisco and Boston are preferred, we are open to other locations in United States. This Role Is For You If: You thrive at the intersection of complex systems and elegant design You're passionate about making advanced AI workflows approachable and visual You have strong empathy for technical users who aren't ML experts You enjoy working in fast-moving, research-driven environments where products evolve rapidly You get energy from designing products that make cutting-edge technology feel simple and human Desired Experience: 4+ years of experience designing complex tools or platforms-ideally developer tools, AI interfaces, or creative software Portfolio that demonstrates systems thinking and exceptional interaction design craft Proven ability to translate technical complexity into intuitive, usable products Experience collaborating closely with engineering and ML research teams Comfort designing for iterative, experimental environments where learning happens through prototyping What You'll Actually Do: Lead product design for a new generation of AI customization and deployment tools Design intuitive flows that make it easy for users to describe tasks, adapt models, and visualize results Work closely with Product and ML teams to shape experiences that feel like building with AI rather than configuring systems Develop interaction patterns and visual frameworks for model iteration, feedback, and performance understanding Establish design systems and principles that scale across multiple AI-driven products What You'll Gain: The opportunity to define the design language for next-generation AI interfaces Deep collaboration with world-class ML researchers and engineers Influence over how developers and enterprises build with efficient, deployable models A front-row seat in shaping how humans interact with intelligence itself About Liquid AI Spun out of MIT CSAIL, we're a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale-from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We're already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we're just getting started.

About this role What we're looking for? The Enterprise Integrations Platform team is responsible for envisioning, architecting, and driving Envoy's long-term vision for success in integrating with large-scale vendors. This team is responsible for the backend platform and services that enable the creation of the future of buildable integrations. The team's focus areas include making architectural decisions to ensure the integration platform is secure and reliable, solving scaling issues and optimizing performance, and improving the internal developer experience through an ever-evolving platform SDK. You will: Stand up new services that improve the safety, reliability, and accuracy of our access control systems Examine, improve, and challenge the existing modalities of how we manage ACS today Collaborate with team members to bounce ideas off each other and see delivery of value to customers from start to finish Design MVPs with strong technical foundations, and iterate on them with product feedback You have: 7-13 years of software engineering experience or coding experience BS / MS in Computer Science or a related technical field Created and supported APIs (REST, JSON/HTTP, GraphQL) Typescript or Kotlin development experience in writing, maintaining, and debugging code in a production environment. Domain knowledge such as message queues, sharding, auto scaling, and access patterns Strong technical foundations for patterns and anti-patterns in software engineering An inner product champion who takes pride in knowing and planning what great can look like, not just good You are: A self-starter and choose action. You look for problems and inefficiencies in code and find elegant solutions to them before they become major blockers. An advocate for the end-user. You think about how our customers will interact with the service and champion positive changes. A systems thinker. You think about how your designs will affect other aspects of the service and how it will evolve in the future. A curious lifelong learner. Someone who enjoys technology and learning new things, like staying up to date on new tools and techniques. You are inspired by what's possible and eager to incorporate the best technologies into your work. Mindful of performance. You think people deserve access to their data in milliseconds. Security-minded. We exist because of our customers. When security is breached, trust is lost. A champion for high-quality software. You realize the value of automated testing and write code with excellent test coverage. A team player. You believe in collaboration, value different perspectives to make better decisions, and positively contribute to team dynamics.

At Inflection AI, our public benefit mission is to harness the power of AI to improve human well-being and productivity. The next era of AI will be defined by agents we trust to act on our behalf. We're pioneering this future with human-centered AI models that unite emotional intelligence (EQ) and raw intelligence (IQ)-transforming interactions from transactional to relational, to create enduring value for individuals and enterprises alike. Our work comes to life in two ways today: Pi, your personal AI, designed to be a kind and supportive companion that elevates everyday life with practical assistance and perspectives. Platform - large-language models (LLMs) and APIs that enable builders, agents, and enterprises to bring Pi-class emotional intelligence into experiences where empathy and human understanding matter most. We are building toward a future of AI agents that earn trust, deepen understanding, and create aligned, long-term value for all. About the Role As a backend engineer at Inflection, you will own the platforms, systems, and services that bring our conversational AI to life at scale. You'll collaborate across research, product, and infrastructure teams to enable rapid iteration, high reliability, and secure delivery of novel AI features to millions of users. Your work will directly impact both the pace of product development and the stability of our production systems. This is a good role for you if you: Have 5+ years of experience building and scaling backend systems for high-throughput applications Are fluent in building distributed systems with Python, Go, Rust, or similar languages, and are comfortable with cloud-native architectures (e.g., Kubernetes, gRPC, Postgres, Redis, Kafka) Have owned backend services end-to-end-from design and implementation to deployment, monitoring, and debugging Thrive in fast-paced environments where you can move quickly without sacrificing engineering rigor Proactively improve tooling and infrastructure to support your teammates' workflows and reliability goals Communicate clearly across disciplines and take pride in solving user-facing problems with clean backend solutions Have a bachelor's degree or equivalent in a related field to the offered position requirements Responsibilities include: Design and implement scalable backend systems and APIs that power production LLM experiences, including agentic workflows, memory systems, and tool integrations Build and operate high-availability infrastructure to support real-time inference, retrieval, and conversation pipelines Develop internal platforms to improve engineering productivity-CI/CD pipelines, service templates, observability frameworks, and rollout tooling Collaborate closely with applied research and frontend teams to rapidly prototype, ship, and iterate on end-user features Ensure systems meet our high bar for security, uptime, and latency-through incident response, load testing, monitoring, and automation Participate in on-call rotations to maintain the reliability of the services you build Compensation & Benefits Salary Range: $175,000 - $350,000 USD per year (based on experience and location) Equity: Competitive stock options Benefits: Diverse medical, dental and vision options 401k matching program Unlimited paid time off Parental leave and flexibility for all parents and caregivers Support of country-specific visa needs for international employees living in the Bay Area

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role The omni team at xAI creates magical AI experiences beyond text, enabling understanding and generation of content across various modalities, including image, video, and audio. As a multimodal engineer focused on Video Generation - Agent, RL, you will pioneer AI agents that perceive, reason about, and generate video content. You will advance both video understanding (e.g., temporal reasoning, action recognition, long-horizon prediction) and video generation (e.g., controllable generation, long-video planning/generation) within agentic systems. Tech Stack Python JAX SGLang Spark Ray Location The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation. Focus Developing agentic planners for short- and long-horizon video generation Designing and collecting human/synthetic data; developing data generation techniques, e.g., captioning Building evals and reward models for video generation Studying training recipes for advancing video understanding/generation and agent training Ideal Experience Track record in leading studies that significantly improve the capability and performance of neural networks, whether through better data or better modeling. Experience in data-driven experiment designs and systematic analysis for iterative model debugging. Experience in SFT, RL, evals, and human/synthetic data. Experience in agentic RL training and video models is considered an advantage. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: One-on-one discussion & coding interviews (three meetings total) Project deep-dive: Present your past exceptional work and your vision with xAI to a small audience. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice