Machine Learning Engineer

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.
• 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.
• Advanced math skills (linear algebra, Bayesian statistics, group theory).

Skills

• Strong analytical, problem-solving and communication skills.

Benefits

Not specified

Pay

Not specified

Schedule

Not specified