143 Remote Machine Learning Engineer Jobs in the US
143 remote machine learning engineer roles open to candidates in the US, all at fully remote, VC-backed startups from seed to series C. Matcha reads every job description daily and sends you one zero noise email with only the roles that really fit. No scrolling, no noise.
10k+ under the radar remote startups · 1 zero noise email
Describe your next role, cut the noise
143 open roles · 6 new this week · 80% not on LinkedIn · $190K avg pay
Machine Learning Engineer II/III (Applied Research & Model Development) at PathAI
AI-powered pathology firm improving cancer outcomes through accurate diagnoses.
Team of 284Mid-level$100M Debt FinancingHealth DiagnosticsHealth Caremachine learningpythoncomputer vision$107K–$200K / yearBacked by Kaiser Permanente, D1 Capital Partners
Design, develop, and deploy machine learning models for research and product development projects. Collaborate cross-functionally with scientists and engineers to translate clinical requirements into scalable ML solutions.
Remote within the US (Boston/NY listed); no non-US regions mentioned.
General Pipeline - FullStack Applied AI Engineer at Infinity
Amplifying founders and building companies with exponential potential, founded by Invisible with a focus on AI services
Team of 33Mid-levelSeed · $12MInformation TechnologySaaSpythonreactnext.jsBacked by Freestyle Capital, BACKED
You will build and ship full-stack, AI-native products, internal platforms, and prototypes while translating ambiguous business needs into scalable technical systems. You will also design and implement agentic AI applications, LLM workflows, and RAG systems to solve complex real-world problems.
Remote US; Warsaw, Poland location listed. No other region eligibility stated.
GTM Engineer, Applied AI at TLDR
TLDR is a daily newsletter with links and TLDRs of the most interesting stories in startups 🚀, tech 📱, and coding 💻
Team of 69Mid-levelSeries D · $106.6MInformation TechnologySaaShubspot administrationrevopsdata integrity$175K–$205K / yearBacked by Graph Ventures, FJ Labs
The GTM Engineer will own the end-to-end GTM systems, including HubSpot administration, data integrity, and the implementation of automated workflows. They will partner with the Applied AI team to integrate AI-first solutions into revenue operations and optimize system architecture.
Remote across US and Canada; no other geographic locations mentioned.
Team of 164Mid-levelPrivate equity round led by Peri…TrainingInformation Technologyagentic systemsllm-backed systemsgitBacked by Periscope Equity
Design and build agentic systems for enterprise clients and internal operations. Collaborate with technical and enablement leads to deploy production-ready AI workflows.
Remote in the US (Chicago, Illinois). No other geographic regions mentioned.
Senior Applied AI Engineer (Enterprise AI / Python) at Brightplan
AI-powered financial wellness platform for employers with fiduciary guidance.
Team of 65Senior$69.7M venture fundingpythonbackend developmentdistributed systems$160K–$195K / yearBacked by Riverside Acceleration Capital, Plancorp
Design and implement scalable AI services and infrastructure to support LLM-powered product features across the platform. Partner with the CTO to establish technical architecture, optimize model performance, and provide guidance to the engineering team.
Remote in the United States only; must live/work in the US with eligibility and dedicated workspace + reliable internet.
Applied AI Engineer (Python/AI) at Brightplan
AI-powered financial wellness platform for employers with fiduciary guidance.
Team of 65Mid-level$69.7M venture fundingpythongenerative aifastapi$125K–$155K / yearBacked by Riverside Acceleration Capital, Plancorp
Build and enhance AI-powered product features by writing prompts and developing Python-based services. Collaborate with product and engineering teams to integrate reliable AI capabilities into a production SaaS platform.
Remote in the United States only; must live/work in the US with eligible employment and a dedicated workspace.
+137 more machine learning engineer roles in the US
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About Matcha
Matcha is a zero-noise alternative to job boards for remote startup jobs. Instead of scrolling through hundreds of irrelevant postings, you describe your next role once and Matcha reads every job description daily to surface only the roles that actually fit. Matches arrive in a single email, as soon as a relevant role is posted. No UI to check, no notifications, no noise. Because Matcha reads full job descriptions in plain language, there is no limit to what you can filter by: not just the usual dropdowns, but anything you can put into words.
Matcha surfaces fully remote jobs at startups from seed to series A, series B, etc. typically backed by top-tier VCs like a16z, Index Ventures, Y Combinator, Google Ventures, Sequoia, Accel, Khosla Ventures, etc. Roles span software engineering, design, marketing, sales, and more. Open to candidates in Europe, the US, Canada, the UK, Brazil, Latam, APAC, and worldwide.
Frequently asked questions
Job boards make you scroll through hundreds of irrelevant posts. Matcha flips this: you describe your ideal role once (title, tech stack, team size, dealbreakers) and Matcha reads every job description daily to surface the handful that actually fit, and sends you one zero noise email. No UI to check, no noise, just a single email when something real shows up. Unlike job boards with their fixed filter sets, Matcha uses plain-language descriptions to match against full job descriptions, so you can filter by anything, something no dropdown could ever capture.
You describe what you're looking for in plain language: role, tech stack, team size, things you don't want. Every day, Matcha scans thousands of new remote startup job postings and compares each description against your preferences. Roles that match land in your inbox in a single, zero-noise email within hours of being posted.
Roles are added as soon as they are posted. About 80% of them never appear on LinkedIn.
Yes, all public jobs are covered: workatastartup (YC jobs), Ashby, Greenhouse, and more. Matcha also tracks under-the-radar startups individually, including roles that are not listed anywhere else.
Matcha was built by Fico, a Canadian repeat founder who has spent over a decade building and working at fully distributed startups. He was on the founding team of Roger.ai, a fully distributed startup he helped grow from zero to $5 billion in transaction volume and millions in ARR before it was acquired by NYSE:CPAY, where he served as VP of Engineering for four years, fully remote. Fico has a deep network of remote-first founders and understands this space firsthand.
While looking for a new startup to join, Fico found the experience exhausting: noisy job boards, limited filters, and no way to specify what actually mattered to him. Nothing let him filter the way he wanted. So he built it for himself, shared it with friends, and after seeing how much they loved it, opened it up. The goal: stay open to the right opportunity without the daily grind of checking boards or wading through noise. It takes two minutes over coffee instead of hours.
Loved by 3000+ remote talent
Engineers, PMs, designers, and marketers across 40+ countries use Matcha to cut through the noise of job search and not miss the right opportunity when it's posted.
