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Machine learning Jobs in Berkeley, CA
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Machine learning • berkeley ca
Machine Learning Engineer
HiveSan Francisco, California, United States- Promoted
Machine Learning Engineer
Recruiting from ScratchSan Francisco, California, United States- Promoted
Machine Learning Engineer
SupportFinitySan Francisco, CA, United States- Promoted
Machine Learning Engineer
Masterful AISan Francisco, California, United States- Promoted
- New!
Machine Learning Engineer
LumicitySan Francisco, California, United States- Promoted
Machine Learning Engineer
CiscoSan Francisco, California, United States- Promoted
Machine Learning Engineer
HealthLeap AISan Francisco, California, United States- Promoted
Machine Learning
VewotechnologiesSan Francisco, CA, United States- Promoted
Machine Learning Engineer
Capital OneSan Francisco, California, United States- Promoted
Machine Learning Engineer
OpenReqSan Francisco, California, United StatesMachine Learning Engineer
BaselayerSan Francisco, California, United StatesMachine Learning Engineer
Orchard RoboticsSan Francisco, California, United States- Promoted
Machine Learning Engineer
Remedy RoboticsSan Francisco, CA, United StatesMachine Learning Engineer
Mariana MineralsSan Francisco, California, United StatesMachine Learning Engineer
KiddomSan Francisco, California, United StatesMachine Learning Engineer
OnyxSan Francisco, California, United States- Promoted
Machine Learning
Pantera CapitalSan Francisco, CA, United States- Promoted
Machine Learning Engineer
Arena InteliigenceSan Francisco, California, United States- Promoted
Machine Learning Researcher
Prima MenteSan Francisco, CA, United StatesThe 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 .
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Machine Learning Engineer
HiveSan Francisco, California, United States- Full-time
About Hive
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 empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Machine Learning Role
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
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Responsibilities
- Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
- Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
- Utilize OWASP top 10 techniques to secure code from vulnerabilities
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and / or policy violations / breaches to an appropriate authority
Requirements
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Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.