Machine Learning Engineer III

Our Opportunity:

Chewy is seeking Machine Learning Engineer III in Bellevue office.

What You'll Do:

• Design and Develop Machine Learning Systems: Build and implement robust machine learning models. This includes data preprocessing, model building, and deployment of machine learning algorithms.

• Analyze and Manipulate Data: Collect, clean, and manage data from diverse sources to ensure it is suitable for modeling

• Experiment and Optimize Models: Continuously improve models by experimenting with different algorithms and tuning hyperparameters.

• Deploy Models to Production: Collaborate with software engineering teams to integrate machine learning models into larger systems and ensure smooth deployment.

• Monitor Model Performance: Oversee the ongoing performance of models and update them as necessary to maintain accuracy and efficiency.

• Collaborate with Stakeholders: Work with business teams to understand company needs and devise feasible solutions using machine learning.

• Research and Implement Latest Technologies: Stay updated with the latest developments in AI and machine learning technologies and advocate for the adoption of new tools and practices when appropriate.

• Documentation and Reporting: Maintain detailed documentation of the modeling process and present results and insights to both technical and non-technical stakeholders.

What You'll Need:

• Educational Background: Master's or PhD in Computer Science, AI, Machine Learning, or related field.

• Technical Proficiency: Experience with machine learning frameworks (like TensorFlow or PyTorch) and programming languages (Python).

• Data Management Skills: Strong capabilities in handling and analyzing big data with tools like SQL, and Pyspark.

• Problem-Solving Skills: Ability to approach complex problems analytically and come up with practical solutions.

• Communication Skills: Excellent verbal and written communication skills for effective collaboration and reporting.

• Experience with Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud is often beneficial.

• Statistical Analysis and Mathematical Skills: Deep understanding of statistics and the mathematical foundations behind machine learning algorithms.

Bonus (if applicable):

• Develop and Train Large Language Models: Design, build, and fine-tune large language models that can be applied to a variety of tasks including text generation, semantic analysis, and more.

• Implement Generative AI Solutions: Create models that can generate text, images, or other media to meet the needs of our clients and internal projects.

• Build and Deploy AI Agents: Develop AI agents capable of performing autonomous actions within specified environments or frameworks.

Compensation & Benefits:

Our salary range for a Machine Learning Enginneer III position is $146,500.00 - $234,500.00. 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.