Senior Research Engineer remote jobs - 3,386 jobs

About Vercel: Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the Role: The v0 team is a fast-moving group within Vercel focused on building the future of UI development with AI. We're working on v0.dev, a cutting-edge generative design tool that turns natural language into functional, beautiful React components using Tailwind CSS, leveraging large language models and novel research in human-AI collaboration. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: As an AI Engineer, you'll sit at the intersection of machine learning, product development, and frontend engineering. You'll work closely with product designers, ML scientists, and full-stack engineers to prototype and deploy innovative systems that redefine how developers and designers build interfaces. Your responsibilities include: Designing and developing prototypes that explore new interaction paradigms powered by LLMs. Researching and implementing state‑of‑the‑art models and prompting strategies for UI generation and code synthesis. Collaborating on building and fine‑tuning internal tools, datasets, and evaluation pipelines. Running A/B tests and user experiments to validate hypotheses and improve generation quality. Bridging the gap between research and production-bringing cutting‑edge techniques into a stable and scalable environment. About You: We're seeking a creative and practical thinker who thrives in ambiguity, loves building with AI, and has an eye for design and developer ergonomics. You may be a good fit if you have: 3+ years of experience in research engineering, applied ML, or related fields. Strong programming skills in Python and JavaScript/TypeScript. Experience working with or fine‑tuning LLMs (OpenAI, Hugging Face, etc.). A solid understanding of modern frontend technologies (React, Tailwind, etc.). Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $192,000-$288,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. #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

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

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 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

A leading AI innovation company is seeking a Senior Principal Application Performance Engineer specializing in performance analysis and optimization across AI hardware and software layers. The ideal candidate will possess strong expertise in deep learning, with proven experience on GPUs and excellent collaboration skills. This hybrid position requires a commitment to fostering an inclusive environment while delivering cutting-edge solutions in generative AI. #J-18808-Ljbffr

About Plural: The assets that produce, store, and consume electrons will define the next era of the economy. But today, financing these assets is slow, expensive, and fragmented-locked behind legacy intermediaries and limited access. Plural is passionately building the infrastructure to change that. We tokenize everything from solar projects to batteries to bitcoin mines, using smart contracts and programmable workflows to reduce friction and open access to capital. On Plural, the nodes of a distributed grid are financed by a network of institutional, individual, and DeFi investors. This approach lowers costs, increases transparency, and enables scalable capital formation for the energy transition-trusted, composable, and built for efficiency. The Opportunity: Plural is seeking an experienced UI / Product Engineer. You will: Build and maintain our existing Next.js Typescript React codebase to push out new features and slicken the UX. Optimize the UX to provide best in class experiences for both Institutional and DeFi users. DApp development-build and maintain UI components that connect to EVM-based smart contracts. Stay current with emerging technologies and industry trends to ensure our system remains cutting-edge. Qualifications: Required 4+ years of professional experience with TypeScript and React. 2+ years of experience developing TypeScript-based dApps. UX design experience with a strong eye for user-centric design. Power user of AI development tools like cursor and demonstrated ability to vibe code MVPs quickly Hungry, driven self-starter with demonstrated track record of high agency and attention to detail Bonus: Experience at an exchange or DeFi company Experience with Next.js, Django, python What We Offer: Competitive salary and equity options Thoughtful technical and soft skill mentorship from experienced leaders Innovative Culture-we are a supportive and collaborative team pushing the boundaries of finance with blockchain. Apply: If you have what it takes, send your resume and a snippet about yourself to ************************* with subject line "Lead Product Engineer - [Your Name]"! #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

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

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 leading AI healthcare company in San Francisco seeks a Staff Software Engineer to design and build core infrastructure for healthcare providers. The role includes setting foundations for observability and reliability in an AI platform, requiring over 5 years of engineering experience and proficiency in modern stacks like AWS and Docker. This position offers competitive compensation and a hybrid working model. #J-18808-Ljbffr

A major tech firm is seeking a Lead Product Engineer (Full Stack) in New York. You will lead full stack development of AI-driven solutions for accounting professionals. This role involves project leadership, product design, and collaborating with cross-functional teams. Candidates should have extensive experience in web applications and strong UI/UX design skills. The company offers a hybrid work model and competitive benefits to promote work-life balance. #J-18808-Ljbffr

Join us in shaping the future of finance for technology companies We're a team of builders, operators, and problem-solvers reimagining how businesses manage and grow their capital. At Arc, we're developing intelligent cash management accounts, capital markets access, and CFO-grade AI features that help companies make faster, smarter financial decisions. Our customers are startups driving technology innovation across dozens of industry verticals. This inspires us to build financial products that enable our customers to scale faster, on their terms, and without restriction. We deeply embed ourselves in our customers' missions, which keeps us relentlessly focused on our own: helping startups grow. FEEDBACK IS THE ACCELERANT TO OUR GROWTH 360 degree feedback is core to our culture. Our Arc-itects practice radical candor and don't shy away from difficult conversations. We also focus equally on celebrating our wins and making sure we celebrate the unique strengths of our teammates. WE WORK HARD AND HAVE FUN TOO We host dozens of events each year - it's been part of our culture since day one. These gatherings include company-wide happy hours, new-hire onboarding meet-n-greets, offsite team-bonding activities, and annual company-wide retreats. At Arc, we work hard and have fun too. Ourvalues These values guide how we work together 1 OPERATE AS AN OWNER Bring an ownership mentality to everything you do. Always strive for excellence. Be an Arc-itect others can trust and count on. 2 WIN WITH OUR CUSTOMERS Become customer-obsessed. Go out of your way to help customers in any way you can. When our customers win, we win. 3 THINK BIG We're disrupting a multi-trillion dollar financial services industry. Find the fast moving waters and don't be afraid to change course. Thrive in ambiguity and seek disruption. Take big swings. Benefits of becoming an Arc-itect Perks and benefits to help you do your best work. MEANINGFUL IMPACT As an early employee, you'll influence key strategic decisions, shape the culture, and play a major role in our success. We are flat and lean, so you'll have the opportunity to contribute to every facet of the business. COVERAGE WHERE IT COUNTS You'll have access to best-in-class medical, dental, and vision coverage and a monthly health and wellness stipend from day one. Mental health resources, learning & development stipends, and more are coming soon. MAXIMIZE YOUR MONEY Arc takes pride in benchmarking comp. packages (salary & equity) to the highest-paid talent-pools in the U.S. REST AND RECHARGE We all perform our best when we feel our best, that's why all Arc-itects receive unlimited PTO, paid holidays, flexible remote work options, and paid parental leave. INCLUSIVITY AT OUR CORE We currently provide dedicated funding for our affinity-groups and their hosted-events, and we offer bi-weekly volunteering opportunities. We plan to partner with local organizations and build out our suite of employee perks and benefits as we develop and mature as an organization. COMMITMENT TO THE COMMUNITY We recently took the Conscious Culture Pledge. Being a conscious company means that we consciously take action to foster an inclusive and diverse workplace. It starts with our hiring practices, and continues throughout our evolving benefits package. OpenrolesDon't see the perfectrole? Reach out to us! We're always looking to bring aboard people who are curious, action-oriented and passionate about leveling the playing field for startups. #J-18808-Ljbffr

A dynamic tech startup in San Francisco is seeking an experienced staff-level software engineer to join their front-end development team. This role involves leading best practices and developing a world-class team. Candidates should have 6+ years of front-end web development experience, particularly with Typescript and React. The position offers a competitive salary of $180,000 - $220,000 with equity options and flexible work conditions. #J-18808-Ljbffr

Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the EVM for the Avalanche blockchain and its ecosystem. WHAT YOU WILL DO Maintain and advance Avalanche's EVM-compatible chains. Design and implement paradigm-shifting extensions on top of vanilla EVMs, without breaking ecosystem compatibility. Here are some specific examples of projects you will contribute to: libevm (repo): the EVM as a library; a backwards-compatible fork of geth with injectable configuration directives to minimise merge conflicts. Streaming Asynchronous Execution (spec / talk / repo): decoupled consensus and execution, allowing for always-on, concurrent execution without forced dormancy. WHAT MAKES YOU A GOOD FIT A self-starter with insatiable curiosity, combined with being comfortable diving into someone else's code to understand. Please mention the word GLEEFUL and tag RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA== when applying to show you read the job post completely (#RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job web3 code engineer engineering #J-18808-Ljbffr