Staff Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the technical leader for a dedicated ML-focused team.

• Establish team objectives while enhancing engineering quality and system design benchmarks.

• Create, develop, and scale ML systems tailored for personalization, ranking, search, or advertising applications.

• Oversee the complete architecture for team services, encompassing model training, evaluation, deployment, and serving.

• Convert product requirements into scalable technical solutions within uncertain problem domains.

• Facilitate design reviews and navigate trade-offs regarding latency, reliability, experimentation, and maintainability.

• Collaborate with product, data, and engineering stakeholders to drive measurable business outcomes.

• Provide mentorship to engineers through practical technical guidance, constructive feedback, and exemplary practices.

• Utilize LLM tools for prototyping, code iteration, experimentation, architecture diagramming, design validation, and the development of relevant LLM-powered features.

⛳️ Requirements

• Over 12 years of professional experience in machine learning or software engineering.

• Proven track record of owning production ML systems operating at scale.

• Experience in building and scaling ML systems within personalization, relevance, search, or advertising technology sectors.

• Strong practical knowledge in distributed systems, data pipelines, and ML infrastructure.

• Experience in deploying ML models in production and managing them at a consumer scale.

• Responsibility for complex technical projects within a team.

• Excellent systems design capabilities and the ability to communicate trade-offs and implementation choices.

• Experience in mentoring engineers and shaping technical standards.

• Ability to navigate effectively in ambiguous settings and drive projects to successful conclusions.

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

• Familiarity with LLMs and their applications in personalization, feature generation, or search.

• Experience with real-time or streaming ML systems.

• Exposure to experimentation frameworks (A/B testing) and model performance evaluation.

• Experience in connecting model development with real-time serving systems.

🏝️ Benefits

• Equity: full-time employees receive equity in Fetch.

• 401(k) matching dollar for dollar, up to 4% of eligible pay.

• Comprehensive medical, dental, and vision plans, including pet coverage.

• $10,000 per year in education reimbursement.

• Participation in Employee Resource Groups and the Inclusion Council.

• Flexible PTO.

• 9 paid holidays.

• Year-end week-long break.

• 14 weeks of fully paid parental leave.

• 6 additional weeks of paid childbirth recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members.

• Flexible work environment with the option for fully remote work from anywhere in the US for US-based roles.

• Provision of hardware and software for home working.