5 entry level machine learning engineer jobs at 5 companies in Vacaville, CA

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Machine Learning Engineer
Mountain View or Bellevue or San Francisco
$143k-$215k/yr OnsiteFull Time
Unity
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Bachelor's in CS or related, strong foundation in ML systems or distributed systems, experience with Python and data-intensive workloads, familiarity with ML frameworks and workflow orchestration.
PyTorch, Ray, Airflow, Flyte, Python, TensorFlow, Spark
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Applied AI, Forward Deployed Machine Learning Engineer
Palo Alto or San Francisco
OnsiteFull Time
Mistral AI
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
2+ YOEPhD or master in AI/data science,2+ years technical experience,LLM fine-tuning and RAG/agent experience,API and product deployment,Python and PyTorch proficiency,strong communication;fluent English.
Python, PyTorch, Langchain, vector DBs
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Senior Research Engineer, GenMedia Safety, DeepMind
Mountain View or New York City or San Francisco
$174k-$253k/yr OnsiteFull Time
Google
GoogleNASDAQ: GOOGL: Provides online search, advertising, cloud computing, and consumer electronics.
2+ YOEPhD or equivalent experience, minimum 2 years leading research, 2 years with machine learning and language modeling, B.S./PhD-level research experience, strong communication and critical thinking.
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Senior AI Engineer
Sunnyvale or San Francisco or Bellevue or New York City
$139k-$229k/yr HybridFull Time
LinkedInNASDAQ: MSFT: Professional social network for career development and job recruitment.
2+ YOEBA/BS in CS or related (or equivalent experience); 2+ years software design/development and programming (Java, Python); 2+ years machine learning, data mining, or NLP; strong communication and critical thinking.
Java, Python, SVN, GIT, ant, maven, Hadoop, Pig, MapReduce, Lucene, SOLR
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Junior Quantitative Analyst
Austin or Chicago or New York or Old Greenwich or San Francisco or West Palm Beach
$150k/yr OnsiteFull Time
WorldQuant
WorldQuant: Develops systematic investment strategies through quantitative research and data.
Undergraduate or advanced degree in a quantitative field; programming in Python and/or C++; Linux experience; strong problem-solving and quantitative skills; interest in financial data, machine learning, and data engineering.
Python, C++, Linux