The Machine Learning Engineer II will enhance legal workflows at Chewy by identifying inefficiencies, designing AI solutions, automating processes, and ensuring successful adoption of new tools.
Job Description:
Our Opportunity:
Chewy is seeking a Machine Learning Engineer II to join our Legal Department in one of our hubs (Plantation, Boston, or Seattle)! This role is focused on fundamentally improving how legal work gets done.
You will work directly with stakeholders across the Legal team to understand day-to-day workflows, identify inefficiencies, and build practical solutions using AI, automation, and modern tools. Operating at the intersection of legal, engineering, and AI, you will be responsible for identifying what is not working, prioritizing high-impact opportunities, and delivering solutions that drive measurable results.
From intake and triage to contract workflows and knowledge access, you will redesign how work flows through the Legal team. You will own initiatives end-to-end, from concept through implementation, and will be responsible for driving adoption, training team members, and ensuring solutions deliver sustained impact.
This role is best suited for someone who has experience identifying real problems, building solutions, and deploying them in a way that drives meaningful day-to-day use.
What You'll Do
Workflow Discovery & Prioritization
Solution Design & Build
AI & Automation
Adoption & Enablement
Cross-Functional Partnership
What You'll Need
Technical Skills
Legal & Business Acumen
Ways of Working
The base salary range for this role is $118,500 - $189,500.00.
We offer different types of insurance and benefits, 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.
Exempt salary 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.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. 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].
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Our Opportunity:
Chewy is seeking a Machine Learning Engineer II to join our Legal Department in one of our hubs (Plantation, Boston, or Seattle)! This role is focused on fundamentally improving how legal work gets done.
You will work directly with stakeholders across the Legal team to understand day-to-day workflows, identify inefficiencies, and build practical solutions using AI, automation, and modern tools. Operating at the intersection of legal, engineering, and AI, you will be responsible for identifying what is not working, prioritizing high-impact opportunities, and delivering solutions that drive measurable results.
From intake and triage to contract workflows and knowledge access, you will redesign how work flows through the Legal team. You will own initiatives end-to-end, from concept through implementation, and will be responsible for driving adoption, training team members, and ensuring solutions deliver sustained impact.
This role is best suited for someone who has experience identifying real problems, building solutions, and deploying them in a way that drives meaningful day-to-day use.
What You'll Do
Workflow Discovery & Prioritization
- Partner with Legal team members to understand workflows, pain points, and inefficiencies
- Identify opportunities to simplify, automate, and scale processes
- Develop and maintain a prioritized roadmap of high-impact initiatives
Solution Design & Build
- Design and build solutions using AI, automation, and modern tools to improve legal workflows
- Automate repetitive work (e.g., intake, triage, contract support, reporting, knowledge access)
- Prototype quickly, iterate based on feedback, and scale what works
- Integrate solutions with existing systems (e.g., M365, intake tools, document repositories), including system-to-system integrations via APIs and authentication frameworks
AI & Automation
- Apply AI and generative AI to improve core legal workflows, with a focus on document-centric use cases
- Design and implement retrieval-augmented generation (RAG) architectures, including document ingestion, parsing, semantic chunking, embedding strategies, and retrieval patterns
- Evaluate new tools and recommend practical, production-ready use cases
- Ensure all solutions align with Chewy's AI governance framework, including required review, approval, and partnership with AI, IT, Security, and Compliance stakeholders
- Design solutions that incorporate appropriate human review and align with legal and risk tolerance requirements
Adoption & Enablement
- Train team members and drive adoption of new tools and workflows
- Develop clear documentation and playbooks
- Partner with Legal leadership to evolve how work is delivered
- Define and track success metrics (usage, time saved, error reduction)
Cross-Functional Partnership
- Partner with Legal Ops, IT, Security, and Data teams to deliver scalable, secure solutions
- Translate legal needs into technical requirements and communicate solutions clearly
- Collaborate with Compliance and Security teams to ensure solutions meet data privacy and regulatory standards
What You'll Need
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
- 3+ years building and deploying solutions in software, automation, or data/AI environments
- Proven ability to build practical tools using modern technologies (e.g., Python, APIs, LLMs, low-code platforms)
- Experience working with business teams and translating real-world problems into technical solutions
- Experience working in environments where behavior change is required for success
Technical Skills
- Strong programming fundamentals (Python or similar) and experience integrating systems via APIs
- Experience designing and implementing LLM-powered applications, including RAG-based systems
- Familiarity with document ingestion pipelines, including parsing, transformation, and semantic chunking strategies
- Understanding of embeddings, vector storage, and retrieval techniques
- Experience with system integrations, including authentication methods such as OAuth
- Familiarity with automation tools (for example, Retool, Zapier, UiPath)
- Exposure to cloud and data platforms (for example, AWS, Snowflake) is a plus
Legal & Business Acumen
- Interest in legal workflows, legal technology, or operational process improvement
- Ability to quickly understand ambiguous processes and identify opportunities to simplify and scale
- Awareness of legal risk considerations and the importance of accuracy, auditability, and defensibility in legal outputs
Ways of Working
- Strong ownership mindset with the ability to operate independently
- Ability to prioritize and focus on high-impact work
- Clear communicator who can work effectively with non-technical stakeholders
- Ability to train others and drive adoption of new tools and processes
The base salary range for this role is $118,500 - $189,500.00.
- 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. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, 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.
Exempt salary 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.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. 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].
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Similar Jobs at Chewy
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As an Associate Veterinarian, you will provide excellent veterinary care by performing examinations, surgeries, and educating pet owners. You'll work collaboratively with the healthcare team and maintain accurate medical records.
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
The Associate Program Manager will manage catalog workflows, optimize processes, and oversee cross-functional programs to improve operational scalability at Chewy.
Top Skills:
ConfluenceJIRAPythonSQLTableau
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
The Category Specialist manages onboarding and ongoing vendor operations for the Consumables category, collaborating with various teams to enhance vendor experiences and resolve issues.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

