Principal Scientist – Machine Learning Engineer

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

📋 Description

• Design and enhance ML infrastructure that supports personalization, search, ranking, and advertising technology.

• Develop real-time learning systems and data pipelines.

• Establish architectural patterns for feature infrastructure, model serving, and efficient low-latency, high-throughput decision-making.

• Improve data infrastructure, distributed systems, and large-scale data pipelines.

• Lead technical design, architecture, and cross-team collaboration for significant ML projects.

• Collaborate with Product, Data Science, Platform, and Engineering teams to create systems that adapt to changing user preferences.

• Enhance streaming and real-time learning infrastructure for quicker iterations across ranking, personalization, and search.

• Utilize AI tools such as ChatGPT and Claude for feature design, code generation, prototyping, architecture diagramming, and design validation.

• Investigate LLMs for personalization, conversational search, and feature development.

• Mentor senior engineers and emerging technical leaders.

• Function effectively in uncertain environments and establish best practices for zero-to-one system design.

⛳️ Requirements

• Demonstrated experience in building and scaling ML infrastructure that supports personalization, relevance, search, or advertising technology systems.

• Extensive hands-on knowledge in data infrastructure, distributed systems, and large-scale data pipelines for ML applications.

• Experience in a consumer product company with ML models functioning at scale.

• Previous contributions to ranking, personalization, or advertising technology systems with tangible business outcomes.

• Strong systems design capabilities and experience in leading architecture while effectively communicating design tradeoffs.

• Experience in mentoring and uplifting other engineers.

• Proven success in leading zero-to-one technical initiatives and creating new infrastructure or ML systems from inception.

• Ability to thrive in ambiguous situations with minimal guidance, prioritize tasks efficiently, and drive impactful results.

• Familiarity with LLMs and their role in personalization, feature development, and conversational search.

• Experience with streaming and real-time learning systems.

• Exposure to conversational search or large-scale information retrieval.

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

🏝️ Benefits

• Equity: We provide full-time employees with equity in Fetch, allowing everyone to share in Fetch’s growth.

• 401(k): Fetch matches your contributions dollar for dollar, up to 4% of your eligible salary.

• Benefits for humans and pets: We offer comprehensive medical, dental, and vision insurance for everyone, including your pets.

• Continuing Education: Fetch offers $10,000 annually for education reimbursement.

• Employee Resource Groups: Participate in employee-led groups aimed at nurturing a diverse and inclusive workplace through events, discussions, and advocacy.

• Paid Time Off: Enjoy flexible PTO, 9 paid holidays, and a week-long break at year-end.

• Robust Leave Policies: Receive 14 weeks of fully paid parental leave for all employees, plus an additional 6 weeks of paid childbirth recovery leave for birthing parents, along with a flexible return-to-work schedule.

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

• Flexible Work Environment: Fully remote opportunities available for US-based roles.

• Hardware and software equipment provided for remote work.