Staff Machine Learning Engineer

What we’re building and why we’re building it

About the Role

Role Responsibilities

• Serve as the technical lead for a single ML-focused team, setting direction and raising the bar on engineering quality and system design.
• Design, build, and scale ML systems supporting personalization, ranking, search, or ad-related use cases.
• Own end-to-end architecture for your team’s services, including model training, evaluation, deployment, and serving.
• Drive clarity in ambiguous problem spaces, translating product needs into scalable technical solutions.
• Lead design reviews and ensure thoughtful tradeoffs around latency, reliability, experimentation, and maintainability.
• Partner closely with product, data, and engineering stakeholders to deliver measurable business impact.
• Mentor engineers through hands-on technical guidance, feedback, and example.
• Use AI tools to accelerate development and improve system design, including:
  • Prototyping and validating ideas with LLM tools.
  • Leveraging AI for code iteration and experimentation.
  • Using AI assistants for architecture diagramming and design validation.
  • Exploring LLM-powered features where appropriate.

Minimum Requirements

• 8+ years of industry experience in machine learning or software engineering, with demonstrated ownership of production ML systems operating at scale.
• Proven experience building and scaling ML systems in personalization, relevance, search, or ad tech domains.
• Strong hands-on expertise in distributed systems, data pipelines, and ML infrastructure.
• Experience deploying ML models into production and operating them at consumer scale.
• Demonstrated ownership of complex technical initiatives within a team.
• Strong systems design skills with the ability to clearly articulate tradeoffs and implementation decisions.
• Experience mentoring engineers and influencing technical standards within a team.
• Ability to operate effectively in ambiguous environments and drive projects to completion.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Preferred Requirements

• Familiarity with LLMs and their application in personalization, feature generation, or search.
• Experience with real-time or streaming ML systems.
• Exposure to experimentation frameworks (A/B testing) and model performance measurement.
• Experience bridging model development with real-time serving systems.

• Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
• 401k Match: Dollar-for-dollar match up to 4%.
• Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
• Continuing Education: Fetch provides ten thousand per year in education reimbursement.
• Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
• Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. 
• Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule. 
• Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
• Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)