Senior Machine Learning Engineer - NLP

Our Opportunity:

Chewy is looking for a Senior Machine Learning Engineer, Natural Language Processing with experience in NLP/NLU and search relevance. Chewy’s SEO organization is a team of product managers, engineers, analysts, and data scientists responsible for acquiring new customers and revenue through the organic results of search engines like Google and Bing. Our goal is to make it easy for our customers to discover Chewy when conducting a search by delivering a world-class customer experience in a way that search engine crawlers can understand. You will play a pivotal role in building new natural language processing models to power new product features across Chewy.com to help our customers make better purchasing decisions.

What You'll Do:

• Apply your NLP expertise to propose and develop models and solutions to build ML-driven products.
• Be responsible for the full Data Science lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models.
• Conduct exploratory analysis on large sets of text data (search queries, product reviews, product descriptions, etc.) and make recommendations to identify customer problems and inform new product features.
• Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
• Identify and manage priorities within the context of overall Chewy objectives, and work with colleagues in data science and engineering to drive the best practices in development, testing, and production of models at scale.
• Establish strong working relationship at all organizational levels across different functional teams.
• Work with the data engineering teams to develop the automated pipelines to perform different stages of the model life cycle.

What You'll Need:

• Bachelors’ degree with 5+ years’, Master's degree with 3+ years or PhD 2+ years of relevant experience ideally in natural language processing/natural language understanding, or information retrieval.
• Graduate degree (MS or PhD) in Computer Science, Engineering, Statistics, Mathematics, or related discipline.
• Experience in building and shipping machine learning models for business applications at scale.
• Strong skills with Python as well as experience with NLTK, spaCy, and other NLP libraries.
• Experience with cutting edge technologies in natural language processing such as BERT (Bidirectional Encoder Representations from Transformers), ELMo (Embeddings from Language Models), or GPT-3.
• Experience with deep learning software platforms, such as PyTorch or TensorFlow.
• Demonstrated knowledge and experience with distributed machine learning and deploying models at scale in cloud environments such as AWS or Google Cloud Platform.
• Excellent verbal and written communication skills. Able to explain details of complex concepts to non-expert stakeholders in a simple understandable way.
• You enjoy working on a team of highly engaged individuals, have a passion for data science and KPIs, and want to work on the cutting edge of your field.
• Proven experience in identifying opportunities for business improvement and defining and measuring the success of those initiatives.

Compensation & Benefits 

The salary range for this position is $116,000-$234,500. 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. 

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 Chewy.com. 

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.