Consulting Engineer remote jobs - 4,216 jobs

About WorkOS 🚀 WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We're a fully distributed team with employees across North American time zones. We're well‑funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast‑growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others. About the role 💭 The AuthKit team is responsible for building AuthKit: a set of UI and APIs that enable B2B developers to solve identity and authentication. Our goal is to build the best possible developer and end‑user experiences so customers can onboard seamlessly and kick‑start their enterprise journey. Our engineers obsess over the developer experience, actively seeking out feedback and new perspectives to inform the products we build. We're searching for engineers who share this empathetic approach to solving problems. Successful candidates will love taking ideas from zero to one, creating beautiful software experiences with modern tools, and care deeply about creating the best possible products. Responsibilities ✔️ Design and engineer delightful developer and end‑user experiences Build a deep understanding of AuthKit's place in the market and increase its adoption Accrete developer trust by serving a highly available and secure product Speak with customers regularly to get feedback, debug issues, and remove points of friction Collaborate with other product teams, solutions engineering, and our go‑to‑market team Work directly with leadership on greenfield ideas Help recruit and assess future engineering team members Qualifications 🌟 5+ years of industry software development experience Experience working on small teams in fast‑paced environments Background in crafting both polished UI/UX and API services end‑to‑end Intellectually curious, independently driven, and passionate about great products A growth mindset, high emotional intelligence, and strong communication skills Bonus: Experience with our stack of TypeScript, React, and Postgres Bonus: Experience in B2B SaaS, developer tools, or a related industry The annual US base salary falls within the range of $175,000 to $250,000. This range does not encompass the full spectrum of benefits such as equity, health insurance, vacation time, and paid parental leave. This salary range covers multiple levels of engineering roles and final compensation will be determined considering various factors, including experience, skills, and qualifications. For candidates outside the US, including Canada, compensation is adjusted based on local market benchmarks. Benefits (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well‑being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid‑time off and fully remote working arrangements. Benefits include: Competitive pay Substantial equity grants Healthcare insurance (Medical, Dental and Vision) for you and your family 401k matching Wellness and fitness monthly allowances PTO + paid holidays + unlimited sick leave Autonomy and flexibility with remote work Please inquire directly with our recruiting team for benefits available to those working outside the US. Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. #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 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 leading engineering firm in California is seeking a mid-level Traffic Engineer to manage traffic engineering projects for public infrastructure and private development. Responsibilities include designing traffic systems, mentoring junior staff, and participating in client meetings. Ideal candidates should have a Bachelor's degree in Civil or Electrical Engineering, 3+ years of relevant experience, and proficiency in AutoCAD and MicroStation. Competitive salary range is $100,000 - $145,000, along with a comprehensive benefits package. #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 tech company in San Francisco is seeking a Staff Engineer to lead critical frontend initiatives. You will build the infrastructure for a real-time collaborative editor and lead frontend optimization. With 8+ years of experience in web applications, you'll contribute to AI-powered features and mentor other engineers. The company values a creative, collaborative culture and provides opportunities for innovative development. #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 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 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 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

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

About Us: Lunar is a stealth technology company building a new type of software platform for health systems. We are on a mission to revolutionize healthcare with cutting‑edge, AI‑powered software designed to help every hospital deliver world‑class care for their patients. Our platform is already the core backbone of health systems today, transforming clinical and operational workflows at scale with the world's first AI‑native hospital information system. This next‑generation platform is a fundamental rebuild of the information infrastructure that runs health systems. All of it - from doctors, nurses, pharmacists, lab technicians, coders, billers, supply chain, and even patients - Lunar's software powers everything, soup‑to‑nuts. We believe that this mission is the moon landing of healthcare - something so consequential and ambitious that most people believe it to be impossible. Backed by Silicon Valley's preeminent venture capital firms, we believe in the power of a small, high performance team of seasoned professionals operating at the peak of their abilities. We value people who are driven, curious, have sound judgement, and care about doing the best work of their careers. We run hospitals on Elixir. We've embraced Elixir for its fault tolerance, concurrency, and scalability - essential for handling real‑time patient data in mission‑critical settings like Emergency Departments, ICUs, and Operating Rooms. We are looking for a Staff Product Engineer who's excited to tackle some of the hardest technical problems in healthcare - and do it with a small, fast‑moving, and deeply mission‑driven team. If you care about writing clean, robust code and want to rebuild from scratch the software infrastructure of modern hospitals, we'd love to talk. Here are some deep technical problems you may tackle in your first 6 months: Modern cloud architecture, built from scratch: We have no legacy systems to untangle. We're designing a modern cloud‑native platform with Elixir at its core. Develop a radically better access control system for clinical data: Create a modern access control system with fine‑grained permissions that respects clinical data structure and patient data ownership, while enabling population‑level insights for better public health. Keep hospitals online 24/7 - no matter what: Design and ship infrastructure that can handle rolling deployments, failover, and real‑time data sync in environments where downtime isn't an inconvenience - it's a risk to patient care. Bridge the gap between software and hardware: Architect a next‑generation integration engine to connect ventilators, bedside monitors, imaging equipment, lab equipment, and more - reliably and in real time. Push hospital workflows into the modern age: Rethink and rewire how data moves between nurses, doctors, and administrators - and turn confusing, click‑heavy workflows into fast, intuitive experiences. Your Experience: Minimum of 10 years of professional software engineering experience. Proficiency with object oriented and functional programming, with the ability and willingness to use and adopt new technologies. We use tools such as Phoenix, Elixir, Python, Erlang, Javascript, Node.js and more. Strong ability to work in a fast‑paced, collaborative, and innovative team environment. Exceptional problem‑solving skills, with a track record of tackling challenging engineering problems. Intellectually curious with a growth mindset - able to tackle entirely novel challenges that lack prior precedent through applying strong fundamentals and first principles thinking. Familiarity with open‑source technology and a desire to explore and experiment with new solutions. Experience building 0‑1 with a strong product sense. Excellent communication skills and the ability to articulate technical decisions, trade‑offs, and best practices. A passion for making a meaningful impact in the healthcare industry through software innovation is a plus. Hospitals are some of the most complex, under‑served environments in all of tech. We're bringing the best of modern software practices to an industry that's been left behind - and building tools that clinicians love, not tolerate. If you're an engineer who wants to work on meaningful problems with real‑world impact, this is your chance. Lunar supports a flexible hybrid work environment. We encourage in‑person collaboration with an expectation of working onsite three days a week. Our approach is designed to offer the flexibility of remote work while fostering the creativity and connection that come from face‑to‑face time with the team. At Lunar, we know our greatest strength is the diverse blend of backgrounds, experiences, and ideas that our team members contribute. We're passionate about healthcare, but we are also passionate about creating an inclusive workplace where every unique talent and perspective is not just respected, but celebrated. We thrive on embracing differences and are fully committed to fostering a fair, supportive, and dynamic environment where everyone has the opportunity to shine. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

A global energy solutions leader is seeking an Application Engineer to work remotely, focusing on data center infrastructure. This role demands collaboration with stakeholders, technical solution development, and project coordination. Ideal candidates will possess a Bachelor's degree in Electrical or Mechanical Engineering and have a minimum of 5 years of experience in data centers. You will support sales teams and improve customer satisfaction through innovative solutions. Join a diverse team dedicated to making a difference in energy technology. #J-18808-Ljbffr