Machine Learning Engineer
On-site · San Francisco, California, United States
San Francisco, California, United StatesOn-siteFull TimeMid LevelMasters DegreeUnknown
Type
Full Time
Level
Mid Level
Education
Masters Degree
Company size
Unknown
Job Summary
Machine Learning Engineer responsible for building, maintaining, and improving data mining and machine learning models; designing, implementing, and tuning models; collaborating with data engineers to optimize data pipelines for production models; and working with software engineers to productionize models with attention to interface, SLA, and scalability.
Required 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
Desired Qualifications
- Machine Learning Engineer
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