AI companies / AI, by role
As of 4 November 2026 · Updated daily · Source: company career pages
500 machine learning roles are open at 156 companies, 10% of them remote and 27% with a published range. 17 arrived in the last week.
Below, the 30 companies with the most machine learning roles open right now, then the newest listings. Every role is pulled from the company's own careers page.
19 machine learning roles of 120
Language learning marketplace
Series D · $150M · NYC
18 machine learning roles of 93
Autonomous driving technology company
Extension · $97M · Mountain View, CA
15 machine learning roles of 42
Provider of chips to connect AI systems in the cloud
Series D · $150M · Santa Clara, CA
15 machine learning roles of 25
Startup helping leaders worldwide build AI-native enterprises
$175M · San Francisco, CA
15 machine learning roles of 124
Company building a scientific platform and autonomous labs for life, chemical, and materials sciences
Seed · $115M · Boston, MA
13 machine learning roles of 35
Company which specializes in AI operations for defense and national security missions
Austin, TX
12 machine learning roles of 34
Company delivering solutions at the intersection of AI and quantum techniques
Series E · Palo Alto, CA
12 machine learning roles of 42
AI-driven water management solutions company
Series E · $111M · Boston, MA
10 machine learning roles of 17
Provider of a serverless AI inference platform
Seed · $5M · Menlo Park, CA
10 machine learning roles of 12
AI company developing true open-source AI through decentralized training
Seed · $7.6M · Melbourne, Australia
9 machine learning roles of 30
Venture
8 machine learning roles of 40
Physical AI company
Series B · $135M · London, UK
7 machine learning roles of 23
Provider of a community-powered agentic security platform
$8M · Miami, FL
7 machine learning roles of 106
Developer of autonomous AI software engineering agents
Series C · San Francisco, CA
7 machine learning roles of 105
Startup that connects AI labs with experts for training their AI models
Series C · $350M · San Francisco, CA
7 machine learning roles of 137
$200M
7 machine learning roles of 39
Developer of an open-source decentralized AI training and reinforcement learning infrastructure platform
Series A · $130m · San Francisco, California
6 machine learning roles of 52
Provider of AI platforms and applications for institutions
Series A · $30M · San Francisco, CA
6 machine learning roles of 25
AI company building Large Tabular Model to drive predictions from enterprise data
Series A · $255M · San Francisco, CA
6 machine learning roles of 51
Safety-focused generative AI healthcare agents company
Series C · $126M · Palo Alto, C
6 machine learning roles of 16
Provider of the data layer for physical AI
Seed · $30M
6 machine learning roles of 21
AI startup developing foundation models for spreadsheets and databases
Pre-Seed · €9M · Freiburg, Germany
5 machine learning roles of 58
Autonomous construction technology company
Series B · $270M · San Francisco, CA
5 machine learning roles of 23
AI company that predicts and reprograms the interactions between biochemical molecules to accelerate life-changing therapeutics
Series C · $400M · San Francisco, CA
5 machine learning roles of 119
Provider of clinical intelligence solutions for health plans and risk-bearing providers
Series C · $90M · Boston, MA
5 machine learning roles of 8
$27.6M
5 machine learning roles of 25
Defense technology company
Seed · $15M · Washington, DC
5 machine learning roles of 22
Developer of embodied robotics intelligence and foundation models
$400m · San Francisco, CA
5 machine learning roles of 148
Defense technology company
Series B · $200M · Paris, France
5 machine learning roles of 39
Provider of an AI-powered predictive modeling software platform for critical infrastructure
Series C · Sydney, Australia
Roles at recently funded startups, matched to what you are looking for. Not a firehose.
Every role is pulled daily from the company's own careers page, never a job aggregator. A role counts when its title reads as ml engineer; the reading is done from the title alone, not the company's department label, so "Go-to-Market" at one company and "Sales" at another are treated the same way. A company counts as AI if it says so in its name, or if at least 2 of its open roles are AI or ML roles and they are at least 15% of everything it has open, the same test as the AI companies page. Remote is read from the text of the posting, and hybrid counts as onsite. Figures recomputed 4 November 2026.