Machine Learning Engineer - San Francisco, CA,

Only for registered members San Francisco, CA, , United States

11 hours ago

Default job background
$80,000 - $140,000 (USD) per year *
* This salary range is an estimation made by beBee
Machine Learning Engineer · Full-time · ResponsibilitiesBuild, maintain, and improve efficient and reliable data mining and machine learning models. · Design, implement and tune machine learning models, and provide performance feedback. · Work closely with data engineers to adapt ...
Job description

Machine Learning Engineer

Full-time

Responsibilities
  • Build, maintain, and improve efficient and reliable data mining and machine learning models.
  • Design, implement and tune machine learning models, and provide performance feedback.
  • Work closely with data engineers to adapt and improve data pipelines for production models.
  • Work closely with software engineers in putting models into production (interface, SLA, scalability).Qualifications
  • Strong academic background required. MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
  • Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy, Panda, and Scikit-learn. 
  • Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models. 
  • Master with SQL or other relational database.
  • Master in building and productionizing end-to-end machine learning systems. 
  • Knowledge and experience in cloud computing is a plus. 
  • Extensive data modeling and data architecture skills.
  • Advanced math skills (linear algebra, Bayesian statistics, group theory). 
  • Ability to consistently exercise independent discretion and judgment on significant matters.
  • Strong analytical, problem-solving and communication skills.
  •  Ability to work in a team environment


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