Staff ML Engineer: Personalization & Scale (Remote)

OpenKrill; United States; On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

Equity

401(k) match

Education reimbursement

Paid time off

Flexible work environment

Job summary

Fetch is hiring a Staff Machine Learning Engineer to act as the technical lead for a high-impact ML team focused on personalization, relevance, and ranking. You’ll own the architecture and execution of ML systems at scale, partnering with product and cross-functional teams while staying deeply hands-on in design and development.

You will mentor engineers, drive end-to-end solutions, and leverage AI tools to accelerate progress, including LLM-based prototyping and testing across real-time serving

Qualifications

• 12+ years of industry experience in machine learning or software engineering with production ML ownership.
• Experience building and scaling ML systems in personalization, relevance, search, or ad tech.
• Strong distributed systems, data pipelines, and ML infrastructure.
• Experience deploying ML models into production at consumer scale.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Responsibilities

• Serve as the technical lead for a single ML-focused team, setting direction and raising engineering quality.
• Design, build, and scale ML systems for personalization, ranking, search, or ad-related use cases.
• Own end-to-end architecture for your team’s services, including training, evaluation, deployment, and serving.
• Drive clarity in ambiguous problem spaces by translating product needs into scalable technical solutions.
• Lead design reviews and balance latency, reliability, experimentation, and maintainability.
• Partner with product, data, and engineering stakeholders to deliver measurable business impact.
• Mentor engineers through hands-on guidance and feedback.
• Utilize AI tools to accelerate development and improve system design, including prototyping with LLMs, code iteration, and architecture validation.

Skills

Production ML

Distributed systems

Mentoring engineers

Team leadership

LLMs in personalization

Ambiguity tolerance

Education

Bachelor's degree in Computer Science or Engineering

Tools

ML infrastructure

Job description

Fetch is hiring a Staff Machine Learning Engineer to act as the technical lead for a high-impact ML team focused on personalization, relevance, and ranking. You’ll own the architecture and execution of ML systems at scale, partnering with product and cross-functional teams while staying deeply hands-on in design and development.

You will mentor engineers, drive end-to-end solutions, and leverage AI tools to accelerate progress, including LLM-based prototyping and testing across real-time serving