Senior Machine Learning Engineer

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 with LLM tools, leveraging AI for code iteration, and exploring LLM-powered features

Minimum Requirements

• 5+ 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

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

Benefits

• Equity in Fetch for full-time employees
• 401k match up to 4%
• Comprehensive medical, dental, and vision plans (including pets)
• $10,000 per year in education reimbursement
• Employee Resource Groups and Inclusion Council participation
• Flexible PTO, 9 paid holidays, and year-end week-long break
• 20 weeks paid parental leave for primary caregivers, 14 weeks for secondary caregivers
• $2,000 Calvin Care Cash for new family members
• Fully remote work option with hardware/software provided