Machine Learning Engineer II

Job Description: Machine Learning Engineer II Boston, MA – Marketing Operations – Full time – R29931 Job Description: What you’ll do: 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. What you’ll need: Minimum 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. Alternate Education and Experience: 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. Employer: Chewy, Inc. Office Address: 343 Congress St, Floor 5, Boston, MA 02210 Other: Telecommuting permitted up to 2 days/week. The base salary range for this role is $161,803 to $ 211,000 per year The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact View email address on click.appcast.io. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here. Watch Here At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. Rooted in our mission to be the most trusted and convenient destination for pet parents and partners, everywhere, we’re guided by our Chewy Operating Principles (or OPs for short), which serve as a common framework that drives our character, capabilities, ingenuity and operations. Our 10 Operating Principles guide us every day: • Customers First • Deliver Results • Earn Trust • Accelerate Time • Act as an Owner • Debate Openly; Commit Fully • Build High-Performing Teams • Keep it Simple • Think Big