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Machine Learning Engineer III
2 months ago
Our Opportunity:
Do you want to build a model that impacts the company's bottom line? Do you want to see how your ideas, pipelines, architecture, and experiments affect top-level decision-makers? If so, the Chewy Marketing & Science team is hiring We use the best machine learning techniques to simplify product discovery for pet parents looking for their pet needs on The team uses machine learning, statistics, and business econometrics techniques to understand and serve the needs of our pet parents. As part of the Marketing Science teams, you will have ample opportunities to solve numerous business problems for marketing and existing Chewy customers. Our team has single-threaded ownership to make data science products powered by econometric models, causal inference, forecasting, and non-linear optimization. We are hiring a Machine Learning Engineer III in Bellevue, WA, Boston, MA, or Plantation, FL. In this position, you will work on all stages of model development, from idea, analysis, architecture, pipeline, tuning, experimentation, and feedback loop. This team's MLEs and data scientists focus on learning and working together to deploy the model to production and advance our modeling technique. Join our high-achieving team
What You'll Do:
- You will partner with peer MLEs, Program Managers, Marketers, Finance, and top engineers at Chewy
- You will be responsible for science projects from idea to offline evaluation to deployment, to experiment, to feedback, to model improvements for not only your science projects
- Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to identify them systematically, and explaining why they are reasonable or identifying fixes
- Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, and sharing insights and recommendations
- Work with a team of incredible people passionate about data science, machine learning, search & personalization
What You'll Need:
- Candidate must possess a Graduate Degree (M.S./PhD or similar) in Data Science, Machine Learning, Statistics, Computer Science, Mathematics, Physics, or a related discipline. Candidates with a bachelor's degree will also be considered if they possess adequate experience (see next bullet).
- Experience: Bachelor's degree with 5+ years, Master's degree with 4+ years, or Doctorate with 3+ years) in developing and deploying advanced machine learning models and algorithms in a production environment.
- Ability to understand and apply advanced mathematics and DS methodologies
- Experience in building distributed pipelines, tuning, optimizing, and evaluating
- Experience in MLOps best practices and demonstrated use of Software Engineering best practices
- Experience with techniques including Predictive Models (Time Series, Regression, etc.)
- Ability to translate complex data sets and research into simple business recommendations
Bonus (if applicable):
- Experience with causal inference. If not, we'll teach you
- Experience with at least one cloud services provider(AWS, GCP, Azure, etc.)
- Experience with a back-end framework (Flask, Fast API, Django, Spring, etc.)
- Experience with ML/DE framework, e.g., Databricks
Compensation & Benefits:
Our pay range for a Machine Learning Engineer III position is $146, $234, 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.
We offer different types of insurance, 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
Non-exempt hourly team members accrue paid time off (PTO) while salaried-exempt team members have unlimited PTO, subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). 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 committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. 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
If you have a question regarding your application, please contact
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