Machine Learning Engineer jobs in Palo Alto hiring now at vetted startups and product companies on Alion, updated daily. Average salary around $293,874/year. Compare remote, hybrid and on-site positions with relocation and visa sponsorship. Browse and apply today.
innopeaktech.com · HQ: Palo Alto, United States · Processors, MCUs & AI Chips · Headphones & Audio · 51-200 employees · Trust B · Hiring 4
HQ: Palo Alto, United States · Processors, MCUs & AI Chips · Headphones & Audio · 51-200 employees · Trust B · Hiring 4
Based in the heart of Silicon Valley, OPPO US Research Center ( InnoPeak Technology) performs cutting-edge research in smartphone technologies, including but are not limited to computer vision, and video and image processing.
joinmidi.com · HQ: Menlo Park, United States · Women’s Health & Maternity · Telemedicine & Virtual Care · 51-200 employees · Est. 2021 · Startup · Trust C · Hiring 41
HQ: Menlo Park, United States · Women’s Health & Maternity · Telemedicine & Virtual Care · 51-200 employees · Est. 2021 · Startup · Trust C · Hiring 41
Midi Health is a virtual care company headquartered in Menlo Park, California, and founded in 2021. The company provides telehealth visits with clinicians trained in perimenopause and menopause, covering hormone therapy, sleep, weight, bone health, and mental health for women in midlife. It bills through insurance in all fifty United States states and partners with health systems and employers that lack in-house menopause specialists.
auxia.io · HQ: Palo Alto, United States · Marketing & Sales AI · Customer Data Platforms (CDP) & Reverse ETL · 11-50 employees · Est. 2022 · Startup · Trust B · Hiring 7
HQ: Palo Alto, United States · Marketing & Sales AI · Customer Data Platforms (CDP) & Reverse ETL · 11-50 employees · Est. 2022 · Startup · Trust B · Hiring 7
Auxia is a composable, AI-based growth platform reinventing how companies activate, engage, monetize, and retain their customers by offering various integration, marketing, and reporting tools.
neocognition.io · HQ: Palo Alto, United States · LLM & Generative AI · AI Agents · 51-200 employees · Startup · Trust B · Hiring 4
HQ: Palo Alto, United States · LLM & Generative AI · AI Agents · 51-200 employees · Startup · Trust B · Hiring 4
NeoCognition is an AI research lab focused on making LLM agents reliable, grounded and accessible to users, developers and enterprises. Its technical staff work on agent research and platform engineering for specialized intelligence. The company is headquartered in Palo Alto, California, United States.
axiommath.ai · HQ: San Francisco, United States · AI Development Tools · Machine Learning · Est. 2025 · Startup · Hiring 3, 1 new
HQ: San Francisco, United States · AI Development Tools · Machine Learning · Est. 2025 · Startup · Hiring 3, 1 new
Axiom is a research company building an artificial intelligence system for mathematics that can prove theorems and generate new results rather than only assist a human mathematician. Its work combines formal verification, proof search and reinforcement learning over symbolic reasoning, with the goal of a self improving mathematical reasoner. The laboratory was founded by researchers who see mathematics as the cleanest testbed for verifiable machine reasoning; its long term target is mathematics that machines can verify end to end without human checking.
nace.ai · HQ: Palo Alto, United States · Education AI · LLM & Generative AI · 51-200 employees · Startup · Trust D · Hiring 15
HQ: Palo Alto, United States · Education AI · LLM & Generative AI · 51-200 employees · Startup · Trust D · Hiring 15
Nace.AI was born from our collective experiences at Google, Meta, Amazon, and the University of Toronto. We build trustworthy AI systems that run companies.
ludorobotics.com · HQ: San Francisco, United States · Robotic Software & Control Systems · Industrial Robotics · Logistics & Warehouse Robotics · Likely startup · Hiring 4
HQ: San Francisco, United States · Robotic Software & Control Systems · Industrial Robotics · Logistics & Warehouse Robotics · Likely startup · Hiring 4
Ludo Robotics is a robotics company dedicated to building general-purpose robotic intelligence that is robust and adaptive in real-world scenarios, using data-driven machine learning at scale. It hires robotics and AI research engineers and offers research fellowships in Palo Alto and Seoul. The company is based in San Francisco, United States.
getaida.com · HQ: Palo Alto, United States · CRM Software · Custom Software Development · Likely startup · Trust B · Hiring 3
HQ: Palo Alto, United States · CRM Software · Custom Software Development · Likely startup · Trust B · Hiring 3
Your reps are outnumbered. To win their deals they must track thousands of signals. No human can do it. Aida is a Digital Twin built to run alongside every rep, continuously, carrying full context, helping them execute deals.
Foothill Ventures is a technology-focused venture fund based in Los Altos, California. We make seed and A-round investments in startups across software, life sciences and deep tech.
mindrobotics.com · HQ: Palo Alto, United States · Robotics AI · Industrial Robotics · Startup · Trust B · Hiring 28
HQ: Palo Alto, United States · Robotics AI · Industrial Robotics · Startup · Trust B · Hiring 28
Mind Robotics builds intelligent, broadly capable robots for industrial deployment, starting with the factory floor. The company develops physical AI and hires mechanical design engineers, software engineers for edge, field and data platform systems, and technical program managers. The company is headquartered in Palo Alto, California, United States.
parallel.ai · HQ: Palo Alto, United States · AI Development Tools · AI Search · AI Agents · 201-500 employees · Est. 2023 · Startup · Trust A · Hiring 24
HQ: Palo Alto, United States · AI Development Tools · AI Search · AI Agents · 201-500 employees · Est. 2023 · Startup · Trust A · Hiring 24
Parallel Web Systems builds web search and research APIs for AI agents, used by developers and enterprises that need agents to find and synthesize public web data. It runs its own web-scale index of billions of pages updated daily and offers a Search API, a Task API for web enrichment and deep research with citations, and related tools for automated data collection. Founded in 2023 by former Twitter CEO Parag Agrawal, it serves more than 100,000 developers and customers such as Clay, Harvey and Notion, and has raised $230 million, including a $100 million Series B led by Sequoia in 2026.
voltai.com · HQ: Palo Alto, United States · AI Agents · EDA Software · 51-200 employees · Startup · Trust A · Hiring 33
HQ: Palo Alto, United States · AI Agents · EDA Software · 51-200 employees · Startup · Trust A · Hiring 33
Voltai develops world models and AI agents that learn, evaluate, plan and experiment, starting with understanding and building hardware such as electronics systems and semiconductors. It hires machine learning engineers, full-stack engineers, enterprise sales executives and engineering managers. The company is headquartered in Palo Alto, California, United States.
typeface.ai · HQ: Palo Alto, United States · AI Agents · Content Creation · LLM & Generative AI · Marketing & Sales AI · 201-500 employees · Est. 2022 · Startup · Trust A · Hiring 18
HQ: Palo Alto, United States · AI Agents · Content Creation · LLM & Generative AI · Marketing & Sales AI · 201-500 employees · Est. 2022 · Startup · Trust A · Hiring 18
Typeface is a company founded in 2022 by a former Adobe chief technology officer to generate on-brand marketing content with artificial intelligence. Its platform learns a company's brand voice, products and visual identity, then produces copy, imagery and campaign assets that stay consistent across channels. It sells to enterprise marketing teams and integrates with Microsoft, Google and Salesforce tools.
bright.ai · HQ: Palo Alto, United States · Edge AI · Industrial AI · 51-200 employees · Est. 2015 · Trust A · Hiring 9, 3 new
HQ: Palo Alto, United States · Edge AI · Industrial AI · 51-200 employees · Est. 2015 · Trust A · Hiring 9, 3 new
BrightAI deploys autonomous AI devices, edge sensors, and foundation models to transform critical infrastructure from reactive to proactive. Maximize asset life and eliminate catastrophic downtime.
