Machine Learning Engineer II

Posted Yesterday
Be an Early Applicant
Bellevue, WA
Hybrid
125K-200K Annually
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere.
The Role
As a Machine Learning Engineer II, you will design and deploy advanced AI solutions for HR, mentor junior team members, and ensure the scalability and business alignment of AI products. Responsibilities include unstructured data analysis, collaborating with data scientists, productionizing research, and monitoring AI models.
Summary Generated by Built In

Our Opportunity:
Chewy is growing! The Enterprise People Analytics team at Chewy is building advanced AI and machine learning solutions to redefine HR decision-making. As a Machine Learning Engineer (MLE) focused on AI product development, you will design and deploy innovative machine learning models, mentor junior Team Members, and drive the production of scalable AI solutions that empower Chewy's HR function.
This role blends deep technical expertise, critical thinking, and a passion for solving complex HR challenges with machine learning and AI. You'll collaborate with data scientists, engineers, and business intelligence guides to transition research into robust, business-aligned AI products. With a strong focus on unstructured data, dynamic graph analysis, and LLM-backed text analytics, this position offers the opportunity to make a relevant impact on how Chewy attracts, develops, and retains talent. Does this sound like you? We'd love to hear from you!
Key Responsibilities

  • Develop and Deploy AI Solutions: Design, implement, and deploy advanced machine learning models to address HR-specific challenges, including talent management, workforce planning, and employee engagement.
  • Scalable AI Product Development: Create and maintain long-term development roadmaps for AI solutions, ensuring scalability, maintainability, and alignment with business priorities.
  • Research to Production: Collaborate with data scientists, machine learning engineers, and business intelligence engineers to transition research and visualization prototypes into production-grade applications.
  • Unstructured Data Analysis: Lead research projects involving unstructured data, including natural language processing (NLP), dynamic graph data, and LLM-backed text analytics to uncover actionable insights.
  • Mentorship and Leadership: Provide technical mentorship to junior data scientists, fostering their growth in both technical expertise and discernment.
  • Model Evaluation and Monitoring: Implement thorough model evaluation processes and monitoring pipelines to ensure deployed models remain accurate, fair, and reliable over time.
  • HR Collaboration: Partner with HR leaders and business teams to align AI efforts with organizational goals and deliver important, actionable insights.


Qualifications

  • Technical Expertise: Sophisticated knowledge of machine learning, statistical modeling, and AI methodologies, with hands-on experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with Unstructured Data: Strong experience working with unstructured data, including text and dynamic graph datasets.
  • Product Development: Track record of design and deploy production-grade AI systems, including scalability and maintainability considerations.
  • Cloud and MLOps: Experience with cloud-based environments and familiarity with MLOps tools for model deployment, versioning, and monitoring.
  • Eye For Business: Ability to align AI solutions with organizational priorities, translating technical capabilities into business value.
  • Mentorship Skills: Consistent track record to mentor junior Team Members, enhancing their technical skills and critical thinking.


Preferred Skills:

  • Experience with LLMs and text analytics frameworks.
  • Proficiency in dynamic graph analytics tools such as NetworkX or Neo4j.
  • Familiarity with monitoring and observability tools for AI pipelines (e.g., MLflow, Prometheus, or Grafana).
  • Knowledge of security standard methodologies in AI and ML deployments.


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.
Salaried-exempt 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.
Pay Range
$125,000-$199,500 USD
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 [email protected].
If you have a question regarding your application, please contact [email protected].
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Top Skills

Python

What the Team is Saying

Charles
Olivia
Mark
Victoria
Sumit
Zack
The Company
HQ: Boston, MA
20,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.

We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.

At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.

Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.

We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.

We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.

Our culture is for those who thrive on delivering results and becoming your best—no matter your role or location. At Chewy, our Operating Principles serve as a common language, or framework, that connects two of Chewy's most valuable elements—our people and our culture. The Operating Principles guide our character, capabilities, imagination, and methods for execution in support of our company's mission.

Why Work With Us

We're proud to be one of the fastest growing e-commerce companies of all time.

With growth comes the exciting opportunity to be a part of a world-class organization of engineering, product, and design team members, responsible for driving our latest innovations and designing "out-of-the Chewy box" experiences.

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