Machine learning Jobs in Berkeley, CA
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Machine learning • berkeley ca
Last updated: 1 day ago
Senior LLM Research Scientist | Advanced AI Systems | San Francisco (Onsite).You will join a team that is developing AI with genuine physical capability - systems that can experiment, engineer, and...Show moreLast updated: 15 days ago
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.The company...Show moreLast updated: 30+ days ago
HealthLeap is an AI start-up revolutionizing healthcare through predictive analytics, initially focused on disease-related malnutrition—a critical form of patient deterioration affecting virtually ...Show moreLast updated: 30+ days ago
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity.Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empowe...Show moreLast updated: 30+ days ago
Get AI-powered advice on this job and more exclusive features.At Scribd (pronounced “scribbed”), our mission is to spark human curiosity.
Join our team as we create a world of stories and knowledge,...Show moreLast updated: 30+ days ago
Join Two Dots to build a stronger financial system.Every time someone applies for a mortgage, car loan, or apartment lease, they submit financial documents that humans use to build a financial prof...Show moreLast updated: 30+ days ago
Be among the first 25 applicants Join to apply for the.Get AI-powered advice on this job and more exclusive features.Jobright is an AI-powered career platform that helps job seekers discover the to...Show moreLast updated: 30+ days ago
Hybrid - San Francisco - $170k - $200k plus equity.This early-stage Speech Technology startup is developing the next wave of ML technology in the real-time speech synthesis sector.They have develop...Show moreLast updated: 1 day ago
Youll be responsible for software and machine learning model development of our on-camera and cloud software.Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquacultu...Show moreLast updated: 29 days ago
Masterful AI is an early, stealth mode startup focused on improving machine learning model training.We are a small, fully distributed team of engineers who are passionate about machine learning and...Show moreLast updated: 21 days ago
Lightfield is a new kind of CRM.It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.
It captures every customer interaction, generates an...Show moreLast updated: 30+ days ago
The emphasis is on hands on SageMaker experience.Hands-on experience with a variety of big data (Hadoop / Cloudera, Cloud, etc.
Experience with object-oriented scripting languages : Java (required), ...Show moreLast updated: 30+ days ago
Job Overview At Advex, we’re working on solving the hardest problem in all of computer vision – data collection.In order to train a reliable AI model, you need access to the right training data.The...Show moreLast updated: 19 days ago
Onyx is a popular open source project with hundreds of thousands of users.The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of da...Show moreLast updated: 30+ days ago
Job Summary We are a well‑funded early‑stage research team building the engineering foundations required to understand how modern neural networks learn and behave.
We are seeking a Machine Learning ...Show moreLast updated: 6 days ago
We're a lean, multidisciplinary team of engineers building the future of home robotics.Our mission is to automate mundane tasks and give people back their time to focus on what they love.We work ac...Show moreLast updated: 25 days ago
Get AI-powered advice on this job and more exclusive features.This range is provided by Fractal.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more....Show moreLast updated: 30+ days ago
At Doe, we’re building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs.
These agents need to be fast, resilient, auditable, and sec...Show moreLast updated: 30+ days ago
Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs.
Relevant experience includes implementing runtime syste...Show moreLast updated: 30+ days ago
- Promoted
Machine Learning Researcher
Acceler8 TalentSan Francisco, CA, USFull-time
Machine Learning Manager
HiveSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
HealthLeapSan Francisco, CA, United StatesFull-time
Machine Learning Engineer
ScribdSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
Scribd, Inc.San Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
Two DotsSan Francisco, CA, United StatesFull-time
- Promoted
Machine Learning Engineer
Jobright.aiSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
LumicitySan Francisco, California, United StatesFull-time
Machine Learning Engineer
AquabyteSan Francisco, California, USAFull-time
- Promoted
Machine Learning Engineer
Masterful AISan Francisco, California, United StatesFull-time
Machine Learning Engineer
LightfieldSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning
VewotechnologiesSan Francisco, CA, United StatesFull-time
- Promoted
Machine Learning Engineer
OpenReqSan Francisco, California, United StatesFull-time
Machine Learning Engineer
OnyxSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
G2M TalentSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning
Pantera CapitalSan Francisco, CA, United StatesFull-time
- Promoted
Machine Learning Engineer
FractalSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Researcher
doeSan Francisco, CA, United StatesFull-time
- Promoted
Machine Learning Engineer
Together AISan Francisco, California, United StatesFull-time
The average salary range is between $ 125,000 and $ 200,000 year , with the average salary hovering around $ 152,500 year .
- software development manager (from $ 220,000 to $ 273,000 year)
- nuclear medicine (from $ 153,470 to $ 250,984 year)
- veterinarian (from $ 115,000 to $ 250,000 year)
- python developer (from $ 135,000 to $ 244,125 year)
- office administrative assistant (from $ 47,840 to $ 243,900 year)
- vp of engineering (from $ 68,428 to $ 237,500 year)
- embedded systems engineer (from $ 133,875 to $ 222,134 year)
- product director (from $ 157,500 to $ 220,750 year)
- applications engineer (from $ 149,709 to $ 218,500 year)
- startup (from $ 136,250 to $ 216,250 year)
- Grand Rapids, MI (from $ 177,531 to $ 240,706 year)
- Lansing, MI (from $ 109,700 to $ 240,100 year)
- Simi Valley, CA (from $ 136,688 to $ 235,450 year)
- Spokane Valley, WA (from $ 135,458 to $ 234,943 year)
- Charleston, SC (from $ 112,230 to $ 233,350 year)
- Chula Vista, CA (from $ 174,990 to $ 229,500 year)
- Fairfield, CA (from $ 151,875 to $ 227,500 year)
- Sunnyvale, CA (from $ 150,000 to $ 225,000 year)
- Hampton, VA (from $ 107,500 to $ 225,000 year)
- Wichita Falls, TX (from $ 145,250 to $ 223,751 year)
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
Machine Learning Researcher
Acceler8 TalentSan Francisco, CA, US15 days ago
Job type
- Full-time
Job descriptionDeep background in LLM research, agent systems, or structured tool-use models Experience across SFT, RLHF, DPO, or verifier-driven RL Strength in designing long-horizon reasoning, decomposition strategies, and structured policies Comfortable working across ML, engineering systems, and real-world toolchains
Job Description
🌍 Senior LLM Research Scientist | Advanced AI Systems | San Francisco (Onsite)
You will join a team that is developing AI with genuine physical capability - systems that can experiment, engineer, and manufacture in the real world. Backed by strong technical foundations and large-scale projects, they’re pushing the frontier of advanced intelligence. The work is deeply hands-on and first-principles, giving you the chance to own end-to-end systems and help create capabilities the world has never seen before.
💡 Why join
- Lead planning, reasoning, and tool-use research for autonomous engineering systems
- Shape prompting frameworks, structured tool calling, model alignment, and preference optimization
- Work on verifier-guided RL, long-horizon behaviours, and MoE routing in a high-velocity research environment
- Collaborate with systems, data, simulation, and tooling teams running real engineering workflows
- Competitive salary up to $300,000 , plus strong equity
🚀 What they value
Location : Onsite in San Francisco .
If you’re aiming for a role where research directly shapes physical AI, I’m happy to share more or connect you.