Staff Machine Learning Engineer

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

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### **About the Role**

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Fetch is building the future of personalized consumer experiences. We’re looking for a Staff Machine Learning Engineer to serve as the technical lead for a high-impact ML team focused on personalization, relevance, and ranking.

In this role, you will own the technical direction and execution for your team’s ML systems - driving high-quality architecture, guiding implementation, and ensuring models and infrastructure operate reliably at scale. You’ll partner closely with product and cross-functional stakeholders while remaining deeply hands-on in design and development.

### **Role Responsibilities**

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• 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**
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• 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.

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### **Preferred Requirements**
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• 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.

This is a full-time role that can be held from one of our US offices or remotely in the United States.

**Compensation:** At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at <https://fetch.com/careers>**.**