Equipment Engineer remote jobs - 3,064 jobs

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 technology firm in New York is looking for a Tech Lead to oversee technical projects and collaborate with cross-functional teams. The ideal candidate will have at least 9 years of experience, with strong skills in Typescript, Node, and PostgreSQL. This role offers equity participation, flexible work arrangements, and a salary range of $185,000 to $245,000. Join a diverse environment that values creativity and team collaboration. #J-18808-Ljbffr

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do As a key member of the Tools & Diagnostics team (part of the TVM Org), you'll collaborate with stakeholders across Customer Success, Product Engineering, Support Operations, IT, and Observability to build and support high-performing applications and systems. Your role includes developing and integrating tools-whether in-house or third-party-to improve scalability of systems, efficiency of teams and promote customer self-service. You will enhance internal systems to streamline Customer Success operations, and build self-service data and AI solutions that empower teams with custom tooling, AI Agents and analytics. Your work will directly impact the scalability, automation, and operational efficiency of Customer Success at Docusign. This position is an individual contributor role reporting to the Sr. Manager, Tools and Diagnostics. Responsibility Write maintainable code in C#, .Net and other object-oriented languages Write SQL/Kusto queries to combine data and build dashboards from multiple tables and views in the data warehouse Automate unit/functional/regression testing, Continuous Integration/Delivery (using Playwright, NUnit or similar) Address system issues impacting performance, scalability, and reliability Adopt, enforce and enhance the use of tools, applications and processes for an efficient Agile development process (i.e., code management, code reviews etc.) Influence architectural decisions, technology selection, design of scalable and sustainable solutions, and risk mitigation strategies impacting production systems and applications Design, develop, test, and maintain data integrations leveraging web APIs Innovate and Develop new internal/external solutions for the Customer Success Team and Broader Docusign Org Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic BS degree in CS or EE or equivalent work experience. 5+ years professional experience in software development using object-oriented methodologies and design patterns in a .NET/C# environment or other object-oriented languages Preferred Strong experience with Salesforce reporting and Salesforce API development Strong experience with Jira reporting and Jira API development Experience with Authentication and Authorization development (OKTA APIs) Experience with Azure data environments Experience with Grafana or other telemetry tools Experience writing complex performant queries using Kusto Query Language Experience with AI and ML Models Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: Washington: $129,000.00 - $190,550.00 base salary This role is also eligible for the following: Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance. Stock: This role is eligible to receive Restricted Stock Units (RSUs). Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment Retirement Plans: select retirement and pension programs with potential for employer contributions Learning and Development: options for coaching, online courses and education reimbursements Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Life at DocuSign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at ****************** for assistance. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. EEO Statement It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. #J-18808-Ljbffr

🚀 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 Dashboard and Admin Portal team owns the components and frontend infrastructure that create a consistent, intuitive, and delightful user experience. We also support the other engineering product teams by delivering shared functionality such as notifications and search. 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 ✔️ Introduce new features and shared services into the WorkOS Dashboard and Admin Portal Partner with UI engineers on UI components and frontend infrastructure Integrate WorkOS products into the WorkOS Dashboard as we dogfood our own product features Scope projects and document decisions with a developer-focused mindset 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 crafting polished UI/UX and API services end-to-end Background in working on small teams in fast-paced environments Intellectually curious, independently driven, and passionate about great products A growth mindset, high emotional intelligence, and strong communication skills Bonus: Experienced with our stack of TypeScript, React, and Postgres Bonus: Experienced in B2B SaaS, developer tools, or a related industry 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #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

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: We are looking for a Product Engineer to join the v0 team, focusing on building and optimizing the next generation of AI-powered developer tools. As part of the v0 team, you will play a pivotal role in enhancing our AI-driven code generation and developer experience tooling, helping teams ship faster with cutting-edge AI-assisted workflows. You will work closely with product designers, AI researchers, and other engineers to develop intuitive and performant features that seamlessly integrate into the Vercel ecosystem. Your contributions will directly shape how developers interact with and benefit from AI-driven solutions in their workflows. 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: Develop and enhance AI-powered developer tools within the v0 ecosystem, improving code generation, automation, and seamless integration with Vercel. Architect and implement performant, scalable, and reliable solutions that support AI-driven interactions in web development. Collaborate cross-functionally with AI researchers, frontend/backend engineers, and product teams to push the boundaries of AI in developer experience. Optimize and refine AI models to improve usability, performance, and accuracy in real-world developer workflows. Ensure an exceptional user experience through thoughtful UI/UX design, leveraging frameworks like React and Next.js. Stay ahead of emerging trends in AI and developer tooling, incorporating the latest advancements to enhance the v0 platform. Diagnose and resolve complex issues, ensuring the reliability and performance of AI-powered experiences at scale. About You: 5+ years of experience in full-stack development, with a strong emphasis on AI-powered or developer-focused tooling. Proficient in JavaScript/TypeScript, with experience building modern web applications using React and Next.js. Backend expertise in Node.js, Python, or Go, with a focus on developing scalable APIs and AI-driven services. Experience working with AI models and APIs (e.g., OpenAI, fine-tuned models, or LLM-based applications). Familiarity with cloud-based architectures and serverless platforms, particularly within the Vercel ecosystem. A strong passion for developer experience and a deep understanding of how AI can enhance productivity. Excellent problem-solving and communication skills, with the ability to work in a fast-paced, highly collaborative environment. 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 $196,000-$294,000. 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. #LI-PF1 #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

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 growing tech firm located in San Francisco is seeking a skilled software engineer to work on the AuthKit team. This role involves designing user-friendly applications and APIs, collaborating with various teams, and enhancing the developer experience. The ideal candidate has over 5 years of experience in software development and possesses a background in UI/UX and API services. Excellent communication skills and a passion for creating high-quality products are essential. The position offers a competitive salary range of $175,000 to $250,000, along with comprehensive benefits including remote work options. #J-18808-Ljbffr

A leading technology company is seeking an experienced Platform & Product Engineering Leader to build a world-class GenAI training platform. This role involves strategic leadership and management of distributed teams, ensuring technical execution aligns with company goals. Required qualifications include a minimum of 5 years in engineering leadership within product-driven environments and hands-on expertise in cloud technologies. Competitive salary of $220,000 - $260,000 plus equity offered. #J-18808-Ljbffr

As the Smart Contract Engineer, you will build a Preconfirmation Registry and smart contracts of Based Appchain Framework with team. Responsibilities Implementation of Rollup smart contracts in Solidity Take engineering projects from design to production while working with our developers to manage realistic roadmaps You may have the opportunity to participate and talk in an event, conference or podcast Requirements Enthusiasm for the modular and rollup ecosystem Proficiency with Solidity and/or Rust and competent with VMs. Experience shipping and taking engineering projects to production Nice to have A deep understanding of fraud proofs and other rollup details Familiarity with the AggLayer, Espresso, and other modular products. A deep understanding of shared sequencing Understanding of ZK and DA Benefits Unlimited vacation policy Fully remote with flexible hours Competitive salary + equity package Regular team off-sites to international locations Work alongside the brightest minds in the crypto space Top-tier health, dental, and vision coverage for US employees Spire culture We play to win We work with authenticity We do what excites us the most We iterate rather than seek perfection We focus on the long-term goal that compounds #J-18808-Ljbffr

A leading robotics company in California seeks a Lead Engineer for RL Scaling & Procedural Scenario Generation. You will design scalable training pipelines and optimize reinforcement learning systems. Ideal candidates possess a master's degree and over 7 years of experience with AI models in robotics, along with strong Python and C++ skills. This position offers a base salary range of $190k - $230k in the U.S. with opportunities for remote work. #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 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

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

San Francisco, United States | Posted on 01/14/2026 We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities. What we do Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous. With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where millions of machines will make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes. At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone). We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide. What you'll do Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots. Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback). Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems. Deploy trained models to edge compute devices with real-time inference constraints. Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack. What you bring 3+ years of hands‑on ML experience, preferably in robotics, computer vision, or embodied AI. Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models. Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems. Proficiency with computer vision techniques (object detection, segmentation, point cloud processing). Understanding of robotics fundamentals (kinematics, control theory, sensor fusion). Strong Python skills and experience with ML libraries. Bonus: Experience with Vision‑Language‑Action models, foundation models, or deploying models to edge devices. Additional Notes Our team develops on physical robots in person-expect hands‑on testing and debugging Need to be located or willing to relocate to San Francisco, CA Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet Come join us in building a new global economy, where anyone can do manual work remotely and with robo‑scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth. #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 Lightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers. Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs. We're inspired by the challenge of creating innovative new AI products for people doing serious work, and we're looking to grow our AI/ML team to meet that challenge. What you'll do Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use Craft Lightfield's AI/ML strategy in tight collaboration with founders and execs Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions Prototype innovative, LLM-powered experiences, and drive their development into robust product features Help build a world class AI/ML engineering team by recruiting and mentoring teammates Who you are You have a BS or MS degree in CS, AI, or applied math You have 5+ years of experience building AI/ML based products in NLP domains You have a strong understanding of deep learning AI/ML frameworks or cloud services You have hands-on ML Ops experience Bonus Points Experience leading AI/ML product initiatives Publications in applied AI/ML scientific journals Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc) 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

Regional Application Engineering Leader with FR3 Fluid / Transformer Oil You know transformers inside out - the hum, the heat, the physics behind the oil. But what if your next step wasn't just about keeping systems running, but redefining what powers them? As a Regional Application Engineering Leader, you'll be the go-to expert on FR3 fluid - guiding manufacturers, training end users, and helping shape how the next generation of transformers are built. You'll travel, teach, solve problems, and show why innovation and reliability don't have to clash. Every week brings a new challenge: answering tough questions from the field, collaborating with design engineers, or presenting ideas that move the industry forward. You won't just support change - you'll drive it. What You'll Do Build strong technical relationships with transformer manufacturers and end users. Provide technical training, on-site and virtual, to support commercial and engineering teams. Lead and support technology projects that enhance application and adoption of FR3 fluid. Offer technical expertise for product application and problem-solving. Represent the company at industry events and conferences through papers or presentations. What You'll Bring Bachelor's degree in a related field. 4+ years of related engineering experience. Understanding of insulating liquids and transformer design principles. Experience in power or distribution transformer manufacturing, or customer technical support. Willingness to travel up to 50%. Strong communication and collaboration skills. #J-18808-Ljbffr