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Refrigeration engineer work from home jobs - 1524 jobs

  • Staff Backend Engineer

    Sift Stack, Inc.

    Remote job

    At Sift, we're redefining how modern machines are built, tested, and operated. Our platform gives engineers real-time observability over high-frequency telemetry-eliminating bottlenecks and enabling faster, more reliable development. Sift was born from our work at SpaceX on Dragon, Falcon, Starlink, and Starship-where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from SpaceX, Google, and Palantir, Sift is built for mission-critical systems where precision and scalability are non-negotiable. As an early engineer focused on our data infrastructure, you won't just write code-you'll define core architecture and help scale a real-time telemetry platform from the ground up. You'll work on complex backend systems designed to ingest, store, and serve millions of high-frequency data points per second, enabling faster iteration cycles for some of the most advanced engineering teams in the world. In This Role, You'll: Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs Help define engineering culture, standards, and processes Collaborate closely with peers on architecture, design, code reviews, and scaling strategies The Skillset You'll Bring: Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline 7+ years of experience in backend, infrastructure, or data engineering roles Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform Strong communication skills and a collaborative approach to problem-solving Bonus Points: Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet Experience building resilient, performant systems that scale to billions of records Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques Engineering at Sift: You'll join a tight-knit team of world-class engineers building foundational systems for next-gen machines. Technologies you'll work with may include: Frontend & Backend: Go, gRPC, PostgreSQL, Protobuf, React, TypeScript Data Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, Rust Ops & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux Location: The Sift team is based in El Segundo, CA, and we collaborate in person twice a week-Mondays and Thursdays. We work closely with LA's leading hardware companies, from autonomous vehicle manufacturers to spacecraft builders. Proximity matters for site visits and deep collaboration, so we prefer candidates local to Los Angeles. We are open to relocation and for exceptional talent we're open to remote work from the San Francisco Bay Area. Salary range: $200,000 - $250,000 per year. Plus equity and benefits. Eligibility: Due to the nature of our work, U.S. Citizenship or Green Card status is required to meet ITAR / EAR compliance requirements. #J-18808-Ljbffr
    $200k-250k yearly 5d ago
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  • Staff ML Infra Engineer - Remote-First AI Platform

    Rad Ai

    Remote job

    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
    $98k-169k yearly est. 2d ago
  • Product Engineer - AuthKit

    Workos, Inc.

    Remote job

    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
    $175k-250k yearly 2d ago
  • Remote-Eligible Product Platform Engineer

    Supportfinity™

    Remote job

    A leading legal AI company based in San Francisco is seeking a Software Engineer to join their fast-growing team. In this role, you'll design full-stack features and drive innovation for their legal platform. The ideal candidate has strong skills in JavaScript, TypeScript, and React, and will have a major impact on the product's evolution. The compensation package ranges from $165,000 to $230,000, with opportunities for equity and growth within an exciting startup environment. #J-18808-Ljbffr
    $165k-230k yearly 1d ago
  • Product Engineer

    Parafin

    Remote job

    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
    $190k-225k yearly 1d ago
  • Product Engineer, AI Data Platform (Remote)

    Dagster

    Remote job

    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
    $165k-210k yearly 4d ago
  • Staff Fullstack Engineer - Grapevine (AI)

    Recruiting From Scratch

    Remote job

    Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. URL: https://www.recruitingfromscratch.com/ Title of Role Staff Fullstack Engineer (AI) Location: Remote (US or Canada) Company Stage of Funding: Series B, Venture-Backed Office Type: Remote (with occasional team meetups; light preference for New York-based candidates) Salary: $188k - $250k + strong equity Company Description We are partnering with a fast-growing, venture-backed technology company (Series B, $70M+ raised from top-tier investors) building the future of work. Their platform already powers collaboration for tens of thousands of organizations every week, including major enterprises, startups, and global institutions. The company is now expanding into AI with its newest product - a category-defining system that gives AI agents true contextual understanding across all workplace tools (Slack, Notion, GitHub, etc.), unlocking the next generation of productivity and automation. This is a unique opportunity to join a small, high-impact AI team (5-6 senior engineers) where you'll shape the foundation of a groundbreaking product at the intersection of collaboration, knowledge systems, and AI. What You Will Do Design and build integrations to external platforms, expanding the scope of knowledge ingested into the AI system. Develop core infrastructure systems, including a Privacy/Governance engine that ensures secure handling of organizational data. Create intuitive product experiences that showcase the power of AI-driven knowledge and workflow automation. Rapidly prototype new applications of company-specific AI, from intelligent chatbots to process automation tools. Collaborate closely with other senior engineers to drive technical strategy while mentoring and inspiring peers. Ideal Candidate Background 10+ years of professional software engineering experience, with strong backend development skills. Proven ability to take complex problems from concept to deployment with limited oversight. Experience at high-bar engineering environments (well-regarded tech companies or early/growth-stage startups). Prior exposure to building privacy, governance, or security-sensitive systems is a strong plus. Motivated by the AI ecosystem and eager to work on category-defining problems. Preferred Expertise in TypeScript (Vite is a plus) and Python. Familiarity with infrastructure technologies such as Kubernetes. Experience building with AI/LLM systems (Agents, MCPs, LLM APIs). Background at AI-native or consumer-oriented companies. High ownership mindset with strong communication skills. Compensation and Benefits Salary: $188k - $250k base Equity: Strong equity package with significant upside Work Setup: Fully remote (US or Canada), with occasional team offsites; preference for New York-based candidates but not required Visa Sponsorship: H1-B transfers, TN, and O-1 sponsorship available Team Culture: High-ownership, startup-style environment with meaningful impact and direct collaboration with a small, senior AI team #J-18808-Ljbffr
    $188k-250k yearly 3d ago
  • Machine Learning Researcher / Engineer (Foundational Models)

    Pathway Genomics Corporation 3.7company rating

    Remote job

    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
    $121k-170k yearly est. 2d ago
  • Senior C++ Backend Engineer - AI Data Infra (Remote)

    Labelbox 4.3company rating

    Remote job

    A leading AI data solutions company is seeking a Senior C++ Full-Stack Engineer for remote contract work in California. You will design and optimize high-performance systems and develop tools for data annotation and validation. The ideal candidate has over 5 years of C++ experience and expertise in asynchronous programming. This role offers competitive hourly compensation, between $50 and $75, depending on experience, with a commitment of 20-40 hours a week. #J-18808-Ljbffr
    $131k-182k yearly est. 3d ago
  • Research Engineer

    Gamma.App

    Remote job

    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
    $108k-163k yearly est. 1d ago
  • Remote Quant Research Engineer - DeFi Vaults

    Gauntlet

    Remote job

    A leading quantitative research firm in San Francisco seeks participants for their Emerging Talent Program, focused on developing the next generation of quantitative researchers and engineers. Responsibilities include transforming mathematical models into code, conducting risk assessments, and optimizing vault strategies across various asset types. Ideal candidates will be pursuing a degree in a quantitative field and possess strong programming skills in Python. The firm offers competitive compensation and a remote-first work environment. #J-18808-Ljbffr
    $108k-163k yearly est. 4d ago
  • Remote Traffic Project Engineer - Mid-Level

    Bennett Engineering Services

    Remote job

    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
    $100k-145k yearly 4d ago
  • Staff Engineer & Front-End Architect - Remote-First, Unlimited PTO

    Medium 4.0company rating

    Remote job

    A leading AI and technology firm is seeking a Staff Engineer to architect and develop critical software solutions that enhance operational efficiency. This role demands extensive engineering experience, proficiency in Golang, React, and Typescript, and a proven track record of leading product features. The successful candidate will collaborate closely with cross-functional teams and mentor junior leaders. Remote work culture with competitive compensation and robust benefits package offered. #J-18808-Ljbffr
    $110k-186k yearly est. 3d ago
  • Full Stack Engineer, Product & Systems

    Jproqueni

    Remote job

    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
    $97k-134k yearly est. 1d ago
  • Staff Product Engineer

    Parafin Inc.

    Remote job

    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
    $97k-134k yearly est. 3d ago
  • Staff Backend AI Engineer - Real-Time ML for Insurance

    Anzen Technologies, Inc.

    Remote job

    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
    $98k-169k yearly est. 4d ago
  • Senior Backend Engineer, Identity Platform (Remote)

    Twilio 4.5company rating

    Remote job

    A leading communications technology provider is seeking a Senior Backend Software Engineer for its Stytch team. This role involves building and scaling backend systems for secure identity experiences. Candidates should have over 5 years of experience in cloud-based systems, RESTful API design, and excellent communication skills. The role supports a remote work environment, emphasizing connection and personal growth. This opportunity allows you to work in a high-ownership environment backed by a well-established company. #J-18808-Ljbffr
    $148k-196k yearly est. 3d ago
  • Senior Backend Engineer - ML-Driven Ad Delivery (Remote)

    Remoteotter

    Remote job

    A tech-forward company is seeking an experienced backend engineer to help design and evolve large-scale systems for product delivery and pricing. The ideal candidate will have over 5 years of experience in backend systems, proficiency in Kotlin or Java, and a strong understanding of machine learning integration. This role promotes a flexible work culture and offers the opportunity to impact product and technical direction significantly. #J-18808-Ljbffr
    $92k-122k yearly est. 1d ago
  • Generative AI Engineer (LLM Expert)

    Big Resourcing

    Remote job

    Employment Type Part Time / Contract About BigRio BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions. About the Role BigRio is seeking a highly skilled Generative AI Engineer with expert-level experience in LLMs, OpenAI APIs, prompt engineering, and retrieval-augmented generation (RAG). This is a senior, hands-on role-ideal for someone who has already mastered these technologies and is ready to deliver production-ready solutions. This is not a learning-on-the-job position. You will work with our internal team and clients to design, build, and optimize AI-powered applications with high-performance standards and robust infrastructure integration. Design and implement LLM-driven features using OpenAI API (including reasoning vs. non-reasoning models, model versioning, temperature settings, and best practices). Apply advanced prompt engineering and model tuning techniques to drive performance and accuracy. Build retrieval-augmented generation (RAG) systems using Langchain and ChromaDB. Develop interactive AI tools and UIs using Gradio. Ensure seamless SSO integration and secure access controls. Connect and automate data pipelines including Google Drive integration. Write clean, maintainable code in Python, and contribute to a collaborative, agile development environment. Required Qualifications 3-5+ years of experience in AI/ML development, with proven, expert-level hands-on work in LLMs and Generative AI. Mastery of the OpenAI API, including reasoning capabilities, temperature control, and fine-tuning parameters. Deep experience with prompt engineering and AI response optimization. Production-level experience with Langchain, ChromaDB, and RAG architectures. Proficiency with Gradio for front-end prototyping. Experience with Docker, SSO, and cloud API integrations (e.g., Google Drive). Strong problem-solving and communication skills. Comfortable working independently and collaborating across time zones. Nice to Have Experience with other vector databases and frameworks. Familiarity with MLOps or AI infrastructure tooling. Previous experience in healthcare, biotech, or highly regulated domains. Equal Opportunity Statement BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment. #J-18808-Ljbffr
    $84k-118k yearly est. 2d ago
  • Staff Protocol Engineer EVM

    Promote Project

    Remote job

    Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world's assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the EVM for the Avalanche blockchain and its ecosystem. WHAT YOU WILL DO Maintain and advance Avalanche's EVM-compatible chains. Design and implement paradigm-shifting extensions on top of vanilla EVMs, without breaking ecosystem compatibility. Here are some specific examples of projects you will contribute to: libevm (repo): the EVM as a library; a backwards-compatible fork of geth with injectable configuration directives to minimise merge conflicts. Streaming Asynchronous Execution (spec / talk / repo): decoupled consensus and execution, allowing for always-on, concurrent execution without forced dormancy. WHAT MAKES YOU A GOOD FIT A self-starter with insatiable curiosity, combined with being comfortable diving into someone else's code to understand. Please mention the word GLEEFUL and tag RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA== when applying to show you read the job post completely (#RMjYwMDoxOTAwOjA6MmQwMTo6MjkwMA==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Job type: Remote job web3 code engineer engineering #J-18808-Ljbffr
    $67k-105k yearly est. 3d ago

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