Research Engineer remote jobs - 3,409 jobs

An innovative tech platform is seeking Chemical Engineer Professionals for a remote, hourly AI research project. In this role, you will leverage your professional background to assess AI model outputs related to chemical engineering tasks. Candidates with at least 4 years of experience in developing safety procedures and optimizing processes are encouraged to apply. This opportunity offers flexible working hours and the ability to work asynchronously from anywhere, allowing you to contribute to advancements in AI tailored to your expertise. #J-18808-Ljbffr

About Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled - please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us. #J-18808-Ljbffr

We're building the creative layer for modern communication. Every month, over a billion people make presentations - but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market. 📈 Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day. 💻 We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste. 💸 We've reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023. 💙 We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity. About the role You'll own the quality of AI across everything Gamma creates. As our Research Engineer, you'll design evaluation frameworks that measure AI output quality, systematically improve production prompts, and fine‑tune models to ensure millions of users get exceptional results every time they generate content with Gamma. This role sits at the intersection of research rigor and product impact. You'll diagnose failure patterns in AI‑generated presentations, docs, and websites, then craft targeted improvements through iterative experimentation. You'll build the tools and workflows that enable rapid testing, validate changes against quality benchmarks, and ensure our AI gets smarter with every iteration. If you're obsessed with output quality and love the challenge of making AI systems work beautifully at scale, this is your role. You'll succeed here if you combine deep technical expertise with a research‑oriented mindset. You need to be comfortable working in ambiguity, designing experiments that reveal model behavior, and iterating toward solutions that measurably improve quality. Exceptional attention to detail is essential, as is the ability to care about dimensions of quality that others might overlook. Our team has a strong in‑office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do Design and maintain evaluation frameworks that measure AI output quality across all Gamma experiences, developing metrics and benchmarks to assess model performance. Systematically improve production prompts through iterative experimentation-diagnosing failure patterns, crafting targeted improvements, and validating against quality benchmarks. Conduct rigorous experiments to understand model behavior, analyze results, and derive insights that inform prompt and model improvements. Build tools and workflows to support rapid experimentation and quality analysis, enabling faster iteration on AI improvements. Fine‑tune models on targeted datasets to improve baseline performance, preventing issues like poor layout choices or low‑quality outlines. Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale. What you'll bring 1-2+ years working with AI systems with demonstrated experience shipping production‑grade AI products. Deep hands‑on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs. Strong experimental mindset with ability to design tests, analyze model performance, and iterate toward quality improvements. Experience with post‑training techniques for LLMs including reinforcement learning and supervised fine‑tuning. Research‑oriented approach to problem‑solving with comfort working in ambiguity and exploring novel solutions to AI quality challenges. Exceptional attention to detail and quality obsession-cares deeply about output quality across all dimensions, including less visible aspects. Bachelor's degree in Computer Science, Machine Learning, or related field, or equivalent hands‑on experience with AI research and experimentation (Nice to have). Compensation range Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people. We're building on a full Typescript stack centered around some of the most modern and popular technologies. We use our own custom, open‑source AI prompting framework, AIJSX. We have a lot of custom tools built in house, but also new ones like Vercel AI SDK. Our tiny team operates at massive scale: 1M+ 70M users around the world 6M+ AI images generated daily 1 trillion LLM tokens processed per month Life at Gamma You get energy from small teams doing big things. You love when design, code, and storytelling overlap. You default to action, even when the answer isn't clear yet. You value details, but know when to ship and move on. You bring both the spreadsheets and the sparkle, equal parts workhorse and unicorn. You believe AI should amplify creativity, not replace it. You know kindness and intensity are not opposites. You like working with people who care deeply: about their craft, their teammates, and the users on the other side of the screen. Who we are Gamma is full of imaginative, passionate people who take their work seriously but not themselves. The culture is warm, a little quirky, and fueled by curiosity. It's the kind of place where you'll debate a pixel on Monday, laugh over someone's keyboard setup on Tuesday, and ship something remarkable by Friday. We care about craft, move with intention, and don't mind getting a little scrappy. It's fast, creative, and occasionally chaotic - but that's what makes it interesting. Here's a bit about what it's like to work here, from people on the inside: We asked the team what makes Gamma, Gamma. Here were some of their answers: "quirky, inspiring, fun, a little wild in the best way" "You can have an idea and just run with it." "Everyone's talented and humble - the mix keeps you sharp." "We ship cool stuff, learn a ton, and laugh a lot doing it." Meet the team We're a team of dreamers and doers building in beautiful San Francisco 🌉 We're kabbadi enthusiasts, pickleballers, dog herders, woodworkers, keyboard nerds, potters, and more - and we can't wait to meet you! #J-18808-Ljbffr

Our mission at Onton is to help people make decisions they love, instantly. We're tackling the most economically impactful decisions first: the average shopping journey takes 79 days, and we're taking that to less than 1. Since our public launch in late 2023, we've grown exponentially to guide millions of users to their perfect product. We recently built the foundation of a neurosymbolic AI agent that learns more about the world on every search. You have the chance to solve equally difficult problems as you scale Onton 10x over the next few months to serve 1B+ searches/year, which is just the beginning. This is only the beginning. Providing a person with sufficient context to make any decision in a truly optimal way amounts to creating AGI. The economic engine we're creating on the e-commerce side, while a huge opportunity in its own right, is ultimately to support this end. Paradigm shifts like the one we're in - from narrow AI to human-level AGI and beyond- are vanishingly rare. We want to offer you the chance to do your life's work solving the problem that will solve all other problems. Your opportunity Together we will create an AI agent capable of providing a person, or itself, with sufficient context to make optimal decisions as quickly as possible. This agent will ultimately be capable of superseding most things we do at Onton. Our current application of e-commerce, making an optimal purchase decision - considering user preferences, millions of products, and billions of reviews - already requires a world model and a logical consistency far beyond the state of the art. Even OpenAI's o3 can't rid itself of the problem of hallucination, and there are no sufficiently robust bolt-on solutions for context finiteness (RAG is not enough), catastrophic forgetting, or many other fundamental problems afflicting current-gen AI systems. Contra OpenAI, we believe that scale is not all you need. These challenges can only be addressed at the architectural level. Recently we've built the foundation of a neurosymbolic AI agent that learns more about the world on every search. It's still in its infancy, but its compositionally-grounded architecture shows promise as the basis of a truly general problem solver. With your ingenuity - realized through your self-directed, data-driven experiments from first principles - we can turn its sparks of intelligence into a fire. We expect you to Have significant software, ML, or research engineering experience Command a deep, principled understanding of the current state of the field of AI, especially neurosymbolic approaches. Have some experience contributing to empirical AI research projects Enjoy implementation, not just writing papers. Be excited about non-purely-statistical approaches to AI. Prefer fast-moving collaborative projects to extensive solo efforts. Quickly and iteratively ship code that is correct, robust, scalable, and maintainable. We're not optimizing for novelty, academic recognition, or theoretical purity. Recognition will come easily from the excellence of the product we build. We'd love it if you: Have a PhD or Master's in Artificial Intelligence, Computer Science, Cognitive Science, Linguistics, or comparable (or equivalent research experience). Onsite Interviews Our final round of interviews is conducted onsite at our SF office, and this role requires full-time, in-person collaboration. We believe that the best work happens when our team is together, fostering creativity, spontaneous collaboration, and strong relationships. If you're unable to attend the interviews onsite or work onsite full-time, this position may not be the right fit. We want to ensure all candidates have a clear understanding of our work environment before applying, so everyone's time is respected throughout the process. Location Our team works in hybrid, 3 days a week, in our new office in San Francisco (Jackson Square). We're offering relocation compensation as we build density in this area. We have a tenure system where, after a year, any team member can transition to a fully remote, provided they operate primarily on Pacific Time. Diversity, Equity, Inclusion, and Belonging Statement We hire talented and passionate people from diverse backgrounds to ensure our global workforce reflects our customers. Even if your experience doesn't perfectly match every requirement in the job description, we encourage you to apply. If you're a builder at heart who shares our values and is passionate about making software tools accessible to all, we want to hear from you. Onton is proud to be an equal opportunity employer. We do not discriminate in hiring or employment decisions based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other legally protected characteristics. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or an accommodation due to a disability, please contact your recruiter. #J-18808-Ljbffr

A leading automotive company in Mountain View is seeking an Early Career Machine Learning Engineer to develop cutting-edge AI systems for vehicle design and manufacturing. The role requires collaboration with senior engineers, and candidates must have a relevant PhD or Master's degree. Competitive salary range from $130,000 to $170,000, plus benefits including health programs and possible relocation assistance. #J-18808-Ljbffr

A leading legal AI company based in San Francisco is seeking a Software Engineer to join their fast-growing team. In this role, you'll design full-stack features and drive innovation for their legal platform. The ideal candidate has strong skills in JavaScript, TypeScript, and React, and will have a major impact on the product's evolution. The compensation package ranges from $165,000 to $230,000, with opportunities for equity and growth within an exciting startup environment. #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194 M in equity and $340 M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position: At Parafin, Product Engineers are the implemented product experts. We bridge design, product, and backend, which means we're responsible for making sure everything actually works the way it should. We are care about things beyond the specs like understanding why features exist, who uses them, and what problems they solve. You'll own the entire frontend: every transition, every edge case, every state change that happens between a user's action and what appears on their screen. You don't need to know our exact stack coming in, but you should be strong with JavaScript fundamentals and have shipped real products with React and TypeScript. What you'll do: Build polished experiences at scale. Work with design to ship great UI/UX, but also own the less visible stuff that matters like page speed, cross-browser support, mobile responsiveness. Master the product. Develop deep expertise and opinions in what we're building. Work with product and design to shape what we build, not just execute on specs. Instrument and optimize. Implement observability for user interactions, core web vitals, and perceived performance. Craft frontend and product infrastructure. Contribute to build systems, dev tooling, and deployment pipelines. Advocate for a better developer experience. Build internal tools that help the team move faster. Who you are: 2‑3+ years of experience working in a frontend engineering role You have an eye for design. You have track record of creating beautiful experiences for the web. You care deeply about user experience and have an understanding of what might make one UI better than another. You think in systems. You build infrastructure that makes future features easier. You know when to generalize and when to keep things specific. You're a self-starter. You enjoy building 0 to 1. You're always looking for things that could use some TLC and finding ways to make them better without asking permission. You care about the details. You care about micro-interactions. You think about what happens when the network is slow, when data is missing, or when users do unexpected things. You're a good teacher. You know how to explain ideas and trade-offs cross-functionally. You have opinions. You have thoughts on different state management approaches, how to structure provider hierarchies, and whether that hook should be extracted or kept inline. You can articulate why you'd choose one abstraction pattern over another. You're always learning. You've tried various coding and AI tools just out of curiosity. You want to know what the latest and greatest are and what problems they solve. What We Offer: Salary Range: $190k-$225k Equity grant Medical, dental & vision insurance Work from home flexibility Unlimited PTO Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr

A data-focused technology company is looking for a Product Engineer to enhance their platform and support data solutions. The role, which offers remote work flexibility across the United States, demands proficiency in Python and TypeScript. Ideal candidates will have over 3 years of experience and strong communication skills. The estimated salary is between $165,000 to $210,000, along with equity and benefits. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Software Engineer for the Customer Onboarding Platform. The role involves designing and developing modern backend services, tackling technical debt, and mentoring a high-impact team. Ideal candidates have 8+ years of software engineering experience and a strong background in full-stack systems design. Competitive salary range offered is $208,000 - $285,000 USD annually, along with comprehensive benefits. #J-18808-Ljbffr

At Sift, we're redefining how modern machines are built, tested, and operated. Our platform gives engineers real-time observability over high-frequency telemetry-eliminating bottlenecks and enabling faster, more reliable development. Sift was born from our work at SpaceX on Dragon, Falcon, Starlink, and Starship-where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from SpaceX, Google, and Palantir, Sift is built for mission-critical systems where precision and scalability are non-negotiable. As an early engineer focused on our data infrastructure, you won't just write code-you'll define core architecture and help scale a real-time telemetry platform from the ground up. You'll work on complex backend systems designed to ingest, store, and serve millions of high-frequency data points per second, enabling faster iteration cycles for some of the most advanced engineering teams in the world. In This Role, You'll: Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs Help define engineering culture, standards, and processes Collaborate closely with peers on architecture, design, code reviews, and scaling strategies The Skillset You'll Bring: Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline 7+ years of experience in backend, infrastructure, or data engineering roles Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform Strong communication skills and a collaborative approach to problem-solving Bonus Points: Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet Experience building resilient, performant systems that scale to billions of records Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques Engineering at Sift: You'll join a tight-knit team of world-class engineers building foundational systems for next-gen machines. Technologies you'll work with may include: Frontend & Backend: Go, gRPC, PostgreSQL, Protobuf, React, TypeScript Data Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, Rust Ops & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux Location: The Sift team is based in El Segundo, CA, and we collaborate in person twice a week-Mondays and Thursdays. We work closely with LA's leading hardware companies, from autonomous vehicle manufacturers to spacecraft builders. Proximity matters for site visits and deep collaboration, so we prefer candidates local to Los Angeles. We are open to relocation and for exceptional talent we're open to remote work from the San Francisco Bay Area. Salary range: $200,000 - $250,000 per year. Plus equity and benefits. Eligibility: Due to the nature of our work, U.S. Citizenship or Green Card status is required to meet ITAR / EAR compliance requirements. #J-18808-Ljbffr

About the Team The web is entering a new chapter, one where digital teams and intelligent agents build, evaluate, and integrate faster than ever. We are looking for a Staff GTM Software Engineer to join our GTM team and help accelerate Netlify's mission to build the modern web - for humans and agents. This role is a force multiplier for Netlify's GTM organization, sitting at the intersection of engineering, revenue operations, and AI innovation. You'll own how GTM data and systems connect - building the foundation that enables intelligence, automation, and speed across Sales, Marketing, and Customer Success. What you create will directly accelerate revenue outcomes, unlock customer value, and shape how our platform serves the next wave of developer productivity and agent-driven applications. From connecting our tools to deploying AI-powered automations, you'll ensure our revenue stack operates as a cohesive, intelligent ecosystem. This role blends software engineering with strategic go-to-market impact, designing internal tools, AI workflows, and systems that multiply revenue team performance and deepen customer value. As our founding Staff GTM Software Engineer, you'll play a pivotal role in connecting customer needs, GTM execution, and the future of AX by helping position Netlify as the world's best platform for modern build teams and the intelligent agents that increasingly support them. What You'll Do Use your expertise in full-stack development to ship internal tools, dashboards, and workflows that unify data from sales, marketing, and product usage, enabling faster, smarter decisions and making GTM data accessible and actionable for stakeholders. Design integrations and automate workflows across Netlify's GTM systems, stitching together data flows between tools like 6sense, Clearbit, Crossbeam, HubSpot, Salesforce, Snowflake, etc. to create a single source of truth. Turn real user and GTM pain points into technical solutions that improve conversion, speed time-to-value, and guide customers through both human- and agent-driven journeys. Apply foundational engineering practices - testing, documentation, observability, and performance optimization - while pragmatically leveraging AI tools to enhance your development workflow. Partner closely with RevOps, Data, and Engineering teams to align GTM tooling with PLG strategies and company-wide intelligence. Practice proactive async communication and create visibility across projects by documenting your workflows and decision-making clearly. Systematize top GTM practices into repeatable, scalable systems that level up the entire organization. Experiment rapidly with product and platform capabilities; provide tight feedback loops to engineering and product. Bring real-time market and agent-driven adoption learnings into AX roadmap conversations and influence product priorities. Help shape the future of how revenue orgs operate in a world where builders, businesses, and autonomous agents all interact with Netlify. What You'll Bring Extensive full-stack software engineering or systems development experience, with a strong focus on backend integrations, APIs, and automation. Proficiency in TypeScript and JavaScript, with a strong track record in building and maintaining full-stack systems. Excitement around building in a zero-to-one environment and shipping high-impact internal tools that drive measurable business impact. Preferred familiarity working with GTM, CRM, or data systems (HubSpot, Salesforce, Snowflake, or similar) and connecting them through well-structured code. Interest or experience in AI-powered workflows, LLMs, or agent-driven systems, and curiosity to apply them to real business processes. Comfortable using and experimenting with AI-assisted development tools, with a sense for when and how to apply them effectively. Experience writing high-quality, testable code that's reliable and maintainable over time. Strong problem-solving mindset and an ability to translate messy data or scattered systems into elegant, maintainable solutions. Comfortable translating GTM needs into technical decisions and vice-versa - connecting data, CRM, and engagement systems like 6sense, Clearbit, HubSpot, Salesforce, LinkedIn, Gong, etc. into unified, intelligent workflows. Strong written and verbal communication skills, especially in asynchronous, remote-first environments. Motivated to explore how AI tooling and agent experience can improve GTM execution and customer experience. Critical thinking abilities and a solution-oriented approach to complex technical challenges. This Role is a Great Fit If You are based in Canada or the US, and want to work on a fully remote team that believes in autonomy, transparency, and building a better web, together. You enjoy working at the intersection of software engineering, AI, and customer experience. You're a systems builder at heart - someone who loves connecting APIs, cleaning up data chaos, and creating elegant internal tools that just work. You're motivated by enabling others: the systems you build make GTM, Marketing, and Success teams smarter, faster, and more data-informed. You thrive in ambiguity, shaping structure from scattered tools and disconnected workflows. You're energized by solving complex data and integration challenges at scale. You want to grow into a hybrid space - engineering, data, and GTM strategy - where your technical skill drives tangible business outcomes. See AI as a multiplier for your skills, not a shortcut - and can articulate where it helps, where it doesn't, and how you use it. You're excited by new tools, challenges, and opportunities to grow - even when they feel a little uncomfortable at first. Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com. About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you'd like to be part of, we're excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify's equity plan. Our approved hiring salary range for this role is targeted at $157,000 - $194,000 for most US-based locations. This role is also eligible to participate in Netlify's commission plan. Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future. #J-18808-Ljbffr

A leading crypto venture firm is seeking a Staff Frontend Engineer to build high-performance decentralized applications. This role involves designing frontend architecture, integrating smart contracts, and optimizing user experiences. Ideal candidates are passionate about crypto and familiar with modern frontend frameworks. The firm offers opportunities for remote work across its global portfolio companies. #J-18808-Ljbffr

A leading recruiting agency is looking for a Staff Android Engineer in East Palo Alto, CA. This role involves designing and building innovative Android applications, mentoring peers, and collaborating in a hybrid environment. Candidates should have over 6 years of experience with Kotlin and a track record in mobile systems. Offers competitive salary, health benefits, and additional perks for a diverse workforce. #J-18808-Ljbffr

A progressive insurance technology company in San Francisco seeks an experienced individual to spearhead the development of an AI insurance platform. This role involves building data-intensive backend systems and owning the full machine learning lifecycle. The ideal candidate has over 8 years of experience and a strong background in ML, particularly NLP. Additionally, the company values a balanced working culture and supports remote work, fostering a collaborative and innovative environment. #J-18808-Ljbffr

Lexsy is an AI-native law firm building predictive legal intelligence. We create agentic systems that continuously monitor a company's data, identify legal events, propose actions, and execute them - with lawyers in the loop. Our platform already supports high-growth startups (including companies now valued at $500M+), and we're scaling toward a multi-agent architecture spanning workflows, validation, supervision, and real-time triggers across Slack, HR systems, cap tables, data rooms, and financial tools. This is a foundational technical leadership role. As Lexsy's Staff Engineer, you will own core architectural decisions, lead complex execution, and set the technical standard for how we build AI-powered legal systems. You won't be handed tickets. You'll be trusted to define solutions. What you'll be responsible for: 1. End-to-end problem ownership For any technical problem, you're expected to independently determine: The right technical approach Whether AI is appropriate - or not Architecture and tooling choices Scope, timelines, and team allocation Risks, edge cases, and trade-offs Your decisions should reflect deep technical judgment and experience operating in ambiguous, high-stakes environments. 2. AI judgment & discretion Not everything should be solved with LLMs - and knowing the difference matters. You will: Partner with product to decide when AI adds value vs. when deterministic systems are safer Anticipate and mitigate common LLM failure modes (hallucinations, brittleness, edge cases) Apply industry-standard patterns for reliability, validation, and human-in-the-loop systems 3. Engineering leadership & execution You'll lead major initiatives and guide engineers through them. This includes: Working closely with junior engineers, product leads, and legal domain experts Translating legal workflows into scalable, maintainable systems Setting and enforcing high standards for code quality, architecture, and documentation Making decisions independently - without needing constant oversight 4. Ship fast, without cutting corners We value speed, but not chaos. You'll operate with: Rapid prototyping using LLMs and agents Tight execution cycles and fast feedback loops A strong bias toward shipping - while protecting system integrity and long-term maintainability What you'll build in your first 90 days Automated legal workflows (e.g., generating documents for a company's first priced Series Seed round) API integrations with platforms like Slack, Carta, and internal data sources Event-driven systems and scrapers to detect real-time legal signals (e.g., copyright violations) What we're looking for Core Requirements 5-8+ years of professional software engineering experience 1+ year hands-on building with LLMs (OpenAI, Anthropic, Hugging Face ecosystem) Strong systems design and architectural thinking Experience deploying and scaling systems on AWS or similar cloud platforms High code quality standards; ability to design APIs and interfaces others can build on Experience mentoring or managing junior engineers Comfort operating in fast-moving startup environments Nice to have Experience with legal or compliance-driven workflows Integrations with HR systems, billing, cap tables, or data rooms Availability in US or Canada time zones How you operate We care as much about how you think as what you build. You likely: Have strong technical judgment Thrive in ambiguity and incomplete information Create clarity for others Take full ownership of outcomes, not just tasks What we offer: Full-time job (8 working hours per day, Monday-Friday). Please note that we will not consider candidates planning to combine this job with another one. Remote work. You may be located in almost any country, just need a good Internet connection, a powerful computer to work from, and the opportunity to adjust your working schedule for the team (from 9 am to 5 pm New York time). Innovative environment. Work with business leaders building cutting-edge AI solutions in a high-growth market. Stability. This is not project work, we consider only the candidates looking for a long-term commitment of 2+ years. Salary will be discussed during the interview. Paid in USD. Application deadline: ASAP Hire5 provides aspiring talents worldwide with remote opportunities to enhance their careers in Silicon Valley startups and other US-based companies. Interested in joining one of the most promising US startups? Press here to apply now or click 'connect' on career.hire5.co to subscribe for future opportunities in your desired profession! #J-18808-Ljbffr

A future-focused healthcare AI company in San Francisco is seeking a Staff Machine Learning Engineer to architect and maintain their machine learning infrastructure. In this role, you will develop cloud-native services and support advanced AI research to improve clinical outcomes. Ideal candidates should have 8+ years in ML Engineering, with strong Python skills and experience in cloud-native environments. This position also offers flexible working arrangements within a supportive team environment. Your contributions will have a meaningful impact on patient care. #J-18808-Ljbffr

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. About the role We're looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of building scaled, performant features and systems that deliver exceptionally innovative AI product experiences. At Lightfield, engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what's possible in applied AI systems development. You'll work alongside a talented team to deliver industry-leading solutions and contribute to Lightfield product and technical vision. What you'll do Collaborate with product leaders to identify customer problems, scope requirements, and implement solutions. Build and maintain full-stack product features and systems, end-to-end, ensuring reliability, scalability, and performance. Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement. Mentor teammates, participate in code reviews, and help shape engineering culture and practices. Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing. Who you are 3+ years of experience in software development, with a strong background in both front-end and back-end technologies. Experience building scalable, high-performance systems that can support complex customer workflows and large-scale data processing. You're excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them. You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL. Strong fundamentals in software engineering, with a degree in Computer Science or a related field. Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment. Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.> Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable. Benefits & Perks Competitive salary Meaningful early equity Health insurance (medical, dental, vision) 3 weeks of PTO 11 paid company holidays + we enjoy a winter holiday break 3 months of paid family leave Wednesdays work from home Regular team dinners, events, offsites, and retreats 401k plan Other perks include: commuter and lunch stipend #J-18808-Ljbffr

A leading consulting platform company based in San Francisco is seeking a creative Product Engineer. This role involves building impactful user-facing features and collaborating across teams to deliver scalable solutions. Candidates should have at least 3 years of software engineering experience, a track record of creating high-quality products, and a passion for solving complex problems. This company offers competitive salaries and a flexible work environment, aiming to foster a diverse and inclusive workplace. #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position We are looking for a user-focused front-end engineer to join our Lending Products team in San Francisco. In this role, you will help build intuitive and seamless user interfaces that will power the suite of Parafin's financial offerings. The Lending Products team is responsible for crafting the user journey for all of Parafin's financing products. You will collaborate with stakeholders across the company to launch new features and regularly experiment with existing ones to enhance the end-user experience. You will contribute to the development of our core web infrastructure and play a key role in identifying, prioritizing, and implementing frontend improvements that accelerate product development and ensure a high-quality user experience. Responsibilities You will fully own our customer facing web product and drive its development You will help define the product architecture all the way from the technologies we use to design principles that we apply You will frequently talk to our customers to understand their needs and define the product experience You will work closely with our product designers and ensure a high quality bar for our products You will help scale the Parafin team by hiring exceptional talent Requirements 6+ years of experience working in a web engineering role You care deeply about building high quality software and take immense pride in your craft. You are comfortable owning and driving the development of the product from 0 to 1. You have a strong grasp of engineering fundamentals. You have experience working with Javascript, Typescript, Next.js, React, or other similar technologies. You have a strong understanding of functional and reactive programming paradigms. You are excited about working on a small team and helping us set the foundations for the company. What We Offer Salary Range: $235k - $300k Equity grant Medical, dental & vision insurance Unlimited PTO & work from home flexibility Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr