Lead Machine Learning Researcher
2 days ago
Mind Company's mission is to build non-invasive neural interfaces - that is, enabling a communication layer between humans and other humans or computers, directly using thoughts.
In pursuit of this mission, our Research Team is responsible for building and training appropriate machine learning models capable of translating brain data into useful forms, such as text.
About the role
As our Lead Machine Learning Engineer, you will be directly responsible for all our machine learning efforts, the core of our business.
You'll be figuring out how to most accurately and efficiently translate brain wave data to useful forms. You'll work with researchers, hardware engineers, and the CEO/CTO.
This role is based in San Francisco, CA. We're an in-person company who deeply believe that great products are not built working from home.
In this role, you'll:
- Work across our ML stack, and occasionally work on general software efforts as well
- Build, train and deploy our ML translation models which convert brain waves into more useful forms
- Learn about the brain, and understand how optimizing hardware can lead to model accuracy improvements
- Grow and manage the Research Team, and its direction
- 2+ years experience building, training and deploying ML models
- Curious about the brain, and passionate about unlocking human-computer interaction
- Strong leadership skills and self-starter, able to carry a project from beginning to end
About Mind Company
Mind Company is 6-person neuro-tech startup with the mission of building noninvasive neural interfaces. We build our own hardware systems which measure brain data, collect proprietary training datasets, and train useful ML models.
If we succeed, humans will be communicating at higher information rates, playing video games with their mind, and never using slow keyboards again. All without requiring surgery. Join us in making this vision a reality.
-
Machine Learning Research Engineer
3 days ago
San Francisco, CA, United States Goliath Partners LP Full timeJoin an innovative AI Lab at an early-stage startup currently valued at over $1 billion following a successful Series A funding round. This is an exceptional opportunity to be part of a team that is shaping the future of AI with a focus on next-generation model architectures, long-term memory, and continual learning. Our startup, backed by prominent...
-
Machine Learning Research Engineer
7 days ago
San Francisco, CA, United States Goliath Partners LP Full timeJoin an innovative AI Lab at an early-stage startup currently valued at over $1 billion following a successful Series A funding round. This is an exceptional opportunity to be part of a team that is shaping the future of AI with a focus on next-generation model architectures, long-term memory, and continual learning. Our startup, backed by prominent...
-
Machine Learning Research Engineer
7 days ago
San Francisco, CA, United States Goliath Partners LP Full timeJoin an innovative AI Lab at an early-stage startup currently valued at over $1 billion following a successful Series A funding round. This is an exceptional opportunity to be part of a team that is shaping the future of AI with a focus on next-generation model architectures, long-term memory, and continual learning. Our startup, backed by prominent...
-
San Francisco, CA, United States Apple Full timeRole Number: 200616937-3401 Summary The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies. Our mission is to empower our users to communicate seamlessly across language barriers and...
-
San Francisco, CA, United States Apple Full timeRole Number: 200616937-3401 Summary The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies. Our mission is to empower our users to communicate seamlessly across language barriers and...
-
San Francisco, CA, United States Apple Full timeRole Number: 200616937-3401 Summary The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies. Our mission is to empower our users to communicate seamlessly across language barriers and...
-
2026 Machine Learning Research Intern
2 days ago
San Francisco, CA, United States Lambda Full timeLambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's...
-
2026 Machine Learning Research Intern
2 days ago
San Francisco, CA, United States Lambda Full timeLambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's...
-
Research Engineer, Machine Learning
1 day ago
San Francisco, CA, United States Anthropic Full timeAbout Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Horizons The...
-
Research Engineer, Machine Learning
7 days ago
San Francisco, CA, United States Anthropic Full timeAbout Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Horizons The...
