Principal Machine Learning Engineer

Key Skills

AWS, AWS Sagemaker, Natural Language Processing (NLP), Natural Language Understanding-NLU, Regression Analysis

Job Description

We are hiring a Machine Learning Engineer/Data Scientist in either Bellevue, WA, Boston, MA or remote. In this position, you will work on all stages of model development from idea, analysis, architecture, pipeline, tuning, experimentation, and feedback loop. Your work will directly impact millions of customers who shop for their furry family members every day. Data Scientist in this team focuses on learning, and on working together as a team to not only deploy model to production but also advance our modeling technique. 

 What you'll do:

• You will partner peer MLE, Program Managers, Merchandizing, along with 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 systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them.
• Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations.
• Work with a team of awesome people who are passionate about data science, machine learning, search & personalization.

What You'll Need:

• An advanced degree (Undergrade, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10+ years’ experience designing optimization and machine learning solutions for large scale applications.
• Ability to understand and apply advanced mathematics and DS methodologies.
• Experience in building distributed pipeline, tuning, optimizing and evaluation.
• Experience with different techniques that include Predictive Models (Time Series and Regression), Linear, NLP/NLU, Search, Ranking or large-scale embeddings.
• Ability to translate complex data sets and research into simple business recommendations.
• Experience growing junior data science team members.

Bonus:

• Experience in e-commerce or retail.
• Experience with ML Services in AWS (SageMaker, Personalize) or equivalent.

Compensation & Benefits:

The salary range for this position is $156,000 - $302,500. 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.