Machine Learning Engineer II
About The Position
This role involves applying artificial intelligence and/or machine learning methods to design, test, and scale effective, reliable frameworks, systems, and models to improve the usefulness of big data and predictive applications. The engineer will research, implement, and test machine learning algorithms and tools to solve data challenges and improve data quality and reliability. They will develop machine learning applications according to requirements, including designing, coding, testing, deploying, and iterating on machine learning systems. The role also requires researching and staying current on machine learning and optimization techniques, and collaborating with data scientists, application developers, product managers, and software engineers to develop and support software for new machine learning products.
Requirements
- Master’s degree in Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or related field of study and 2 years of experience required as an Operations Research Analysts or a related position/occupation.
- Ph.D.’s degree in Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or related field of study and 1 year of experience required as an Operations Research Analysts or a related position/occupation.
- Experience or coursework must include: Amazon Web Services tools like Redshift, SageMaker, Snowflake or other similar platforms, Databricks.
- R, PySpark, PyTorch, TensorFlow, Docker.
- ML techniques like neural networks, linear regression, Bayesian statistics and XG boost models.
- Developing and deploying optimization, predictive and machine learning model.
Responsibilities
- Apply artificial intelligence and/or machine learning methods to design, test and scale effective, reliable frameworks, systems, and models to improve the usefulness of big data and predictive applications.
- Research, implement, and test machine learning algorithms and tools to solve data challenges and to improve quality and reliability of data.
- Develop machine learning applications according to requirements; design, code, test, deploy and iterate on machine learning systems.
- Research and remain current on machine learning and optimization techniques.
- Work with data scientists, application developers, product managers and software engineers to develop and support software for new machine learning products.
Benefits
- 401k
- new hire and annual equity grant
- annual bonus
- medical/Rx insurance
- vision insurance
- dental insurance
- life insurance
- disability insurance
- hospital indemnity insurance
- critical illness insurance
- accident insurance
- parental leave
- family services benefits
- backup dependent care
- flexible spending accounts
- telemedicine
- pet adoption reimbursement
- employee assistance program
- discounts including 10% off pet insurance and 20% off at Chewy.com
- unlimited PTO, subject to manager approval
- six paid holidays per year
- paid sick and family leave in compliance with applicable state and local regulations
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
