Chewy Logo

Chewy

Machine Learning Engineer II

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Bellevue, WA
Senior level
Hybrid
Bellevue, WA
Senior level
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.
The summary above was generated by AI

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

Similar Jobs at Chewy

2 Days Ago
Hybrid
Bellevue, WA, USA
Senior level
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Machine Learning Engineer III, you will lead the development of machine learning solutions for Chewy’s new Sponsored Advertising team. Your role includes deploying models for product ranking and auction algorithms, collaborating with product leaders, mentoring junior scientists, and communicating findings to senior leadership while establishing high performance standards for models.
Top Skills: Data ScienceMachine Learning
2 Days Ago
Hybrid
Bellevue, WA, USA
Senior level
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Machine Learning Engineer III, you will lead the development of machine learning solutions for Chewy’s new Sponsored Advertising team. Your role includes deploying models for product ranking and auction algorithms, collaborating with product leaders, mentoring junior scientists, and communicating findings to senior leadership while establishing high performance standards for models.
Top Skills: Data ScienceMachine Learning
2 Days Ago
Hybrid
Bellevue, WA, USA
Senior level
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
The Data Engineer II will design, develop, and maintain data pipelines for analytics at Chewy. Responsibilities include addressing complex data issues, crafting data products, and collaborating with various teams to integrate new data sources into systems. The role focuses on building scalable applications and supporting data-driven decision-making across departments.
Top Skills: JavaPysparkPythonScalaSparkSQL

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account