Machine learning engineer Jobs in Berkeley, CA
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Machine learning engineer • berkeley ca
Last updated: 13 hours 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: 13 hours 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
Machine Learning Engineer at LMArena.LMArena is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation.You'll play a fo...Show moreLast updated: 13 hours ago
R&D Partners is seeking to hire a.Your main responsibilities as a.You will join Prescient Design within the Computational Sciences organization in gRED.
Your peers will be machine learning scientist...Show moreLast updated: 8 days ago
As a machine learning engineer, you will help us build RL environments to automate ML engineering.Our goal is to accelerate the automation of ML engineering as fast as possible to advance AI progre...Show moreLast updated: 13 hours ago
We are a rapidly-growing startup in the AI space that is on the lookout for an Entry-Level Machine Learning Engineer out of a tier 1 or tier 2 computer science program!.
As a Junior ML Engineer / En...Show moreLast updated: 13 hours ago
Lawrence Berkeley National Lab's (LBNL) NERSC Division has an opening for a Machine Learning Engineer to join the team.In this exciting role, you will serve as a Machine Learning Engineer in NERSC'...Show moreLast updated: 13 hours 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
We deliver decision advantage, better situational awareness, and stronger force protection.Our customers love how we automate the right portions of the military intelligence cycle while keeping the...Show moreLast updated: 24 days ago
Elicit is building the reasoning layer for science and decision-making.We use language models to search over 125 million papers, extract data, and surface insights so that researchers, policy-maker...Show moreLast updated: 13 hours ago
Strava is the app for active people.With over 150 million athletes in more than 185 countries, Strava is where connection, motivation, and personal bests thrive.
No matter your activity, gear, or go...Show moreLast updated: 13 days ago
Mercor is training models that predict how well someone will perform on a job better than a human can.We use our platform to source, vet, and onboard expert contractors who help train AI models in ...Show moreLast updated: 10 days ago
Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning.
Through unparalleled curriculum...Show moreLast updated: 30+ days ago
Cardiovascular disease is the #1 cause of morbidity and mortality in the world.Much of this could be prevented with better access to specialist care.
Take stroke as an example : any delay in treatmen...Show moreLast updated: 13 hours ago
Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and understood.We're looking for a passionate Machine Learning Engineer with a deep understanding o...Show moreLast updated: 13 hours ago
We deliver decision advantage, better situational awareness, and stronger force protection.Our customers love how we automate the right portions of the military intelligence cycle while keeping the...Show moreLast updated: 13 hours ago
Who is Recruiting from Scratch : .Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams.
We partner closely with our clients to deeply understand ...Show moreLast updated: 13 hours ago
At SmartSpot, you'll be responsible for improving our pipeline for processing 3D data of human exercise and for deepening our engines for workout recommendations, difficulty scaling, and personaliz...Show moreLast updated: 30+ days ago
SwingVision is the AI tennis & pickleball app that provides automated stats, highlights, and line calling using just your phone.
Our mission is to democratize the pro sports experience for all athle...Show moreLast updated: 30+ days ago
Lightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis ...Show moreLast updated: 13 hours ago
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Machine Learning Engineer
Two Dots IncSan Francisco, CA, United StatesFull-time
Machine Learning Engineer
HiveSan Francisco, California, United StatesFull-time
- Promoted
- New!
Machine Learning Engineer
LMArenaSan Francisco, CA, United StatesFull-time
- Promoted
Machine Learning Engineer
R&D PartnersSan Francisco, CA, United StatesFull-time
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- New!
Machine learning engineer
Mechanize, IncSan Francisco, CA, United StatesFull-time
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Machine Learning Engineer
JobotSan Francisco, CA, United StatesFull-time
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Machine Learning Engineer
LBLSan Francisco, CA, United StatesFull-time
Machine Learning Engineer
ScribdSan Francisco, California, United StatesFull-time
Machine Learning Engineer
TurbineoneSan Francisco, California, United StatesFull-time
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- New!
Machine Learning Engineer
ElicitOakland, CA, United StatesFull-time
- Promoted
Machine Learning Engineer
StravaSan Francisco, CA, United StatesFull-time
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Machine Learning Engineer
Mercor, Inc.San Francisco, CA, United StatesFull-time
Machine Learning Engineer
KiddomSan Francisco, California, United StatesFull-time +1
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Machine Learning Engineer
Remedy Robotics, IncSan Francisco, CA, United StatesPermanent
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Machine Learning Engineer
She Recruits, LLCSan Francisco, CA, United StatesFull-time
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Machine Learning Engineer
TurbineOneSan Francisco, CA, United StatesFull-time
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Machine Learning Engineer
Recruiting from ScratchSan Francisco, CA, United StatesFull-time
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Machine Learning Engineer
Tempo LLCSan Francisco, CA, United StatesFull-time
Machine Learning Engineer
SwingvisionBerkeley, California, United StatesFull-time
- Promoted
- New!
Machine Learning Engineer
LIGHTFIELD INCSan Francisco, CA, United StatesFull-time
The average salary range is between $ 117,000 and $ 200,000 year , with the average salary hovering around $ 165,000 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)
- Lansing, MI (from $ 114,400 to $ 241,000 year)
- Cedar Rapids, IA (from $ 131,250 to $ 240,706 year)
- Grand Rapids, MI (from $ 133,750 to $ 240,706 year)
- Kent, WA (from $ 109,500 to $ 238,773 year)
- Simi Valley, CA (from $ 145,000 to $ 235,450 year)
- Spokane Valley, WA (from $ 145,000 to $ 235,450 year)
- Sunnyvale, CA (from $ 154,550 to $ 230,000 year)
- Bellevue, WA (from $ 140,000 to $ 229,250 year)
- Wichita Falls, TX (from $ 159,200 to $ 226,625 year)
- Austin, TX (from $ 144,900 to $ 225,000 year)
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
Machine Learning Engineer
Two Dots IncSan Francisco, CA, United States13 hours ago
Job type
- Full-time
Job description2+ years of experience in a Machine Learning or Data Engineering role, with a strong proficiency in Python and ML frameworks like PyTorch required Proven ability to improve models for key information extraction, including named entity recognition and matching, and financial document classification Experience with active learning, HITL driven workflows; working with large labeling and quality teams is a plus Strong problem solving skills, with the ability to think critically and creatively Excellent communication and interpersonal skills, capable of explaining complex operational information in an understandable way A proactive, curious mindset with a relentless pursuit of excellence and innovation in tackling complex problems Hungry for personal and professional growth and ready to scale with Two Dots! An opportunity to revolutionize the real estate leasing industry and own projects that make a tangible impact An environment with a work culture that is based on trust, ownership, flexibility and a growth mindset A competitive salary, comprehensive equity package, and substantial benefits
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 profile about them. The quality of these financial profiles is a key input that regulates the body temperature of the economy.
Two Dots is building a better system to evaluate consumers consistently and fairly. We prevent fraud that humans can't see, and we surface value in atypical applications that would otherwise be discarded.
Please note that we require all full-time employees to work from our office in San Francisco, CA.
Role overview :
Reporting directly to our Co-Founder and CTO, Two Dots is looking for our first-ever Machine Learning Engineer. In this role you will design, develop, and deploy machine learning solutions, with a focus on fine tuning multimodal large language models (LLMs) to solve real-world problems. The ideal candidate will have a passion for building and deploying advanced ML applications, with the aim to produce business impact and client satisfaction.
Key Responsibilities :
- Work autonomously to design, develop and deploy machine learning models
- Analyze large datasets to uncover insights and trends that inform product development and personalized customer experiences
- Continuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirements
- Stay up to date with the latest advancements in machine learning, AI, data science and engineering, and apply this knowledge to improve our products and services
Desirable Traits :
What you get in return :
Closing :
Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!
Compensation is variable and is subject to a candidate's personal qualifications and expectations. For this role, we offer the following base salary range, in addition to an equity package and full benefits : $150k - $225k per year.