Senior Staff ML Engineer, Search & Recommendation

Accountabilities:

• Design and advance large-scale AI-driven search and recommendation systems, focusing on relevance, retrieval quality, and user experience across high-traffic platforms.

• Lead the development of end-to-end search infrastructure, including query understanding, indexing, ranking systems, and feature pipelines.

• Build, deploy, and optimize machine learning models and LLM-based systems, ensuring performance, scalability, and production reliability.

• Improve search relevance through experimentation, evaluation frameworks, and continuous model iteration using real-world behavioral signals.

• Collaborate with ML, product, infrastructure, and data science teams to solve complex technical challenges and align on system design decisions.

• Define technical vision and roadmap for search relevance, influencing organizational direction and long-term architecture evolution.

• Mentor senior engineers and staff-level peers, contributing to technical leadership and engineering excellence across the team.

Requirements:

• 10+ years of industry experience building and scaling large-scale search, ranking, or recommendation systems.

• Strong expertise in machine learning frameworks such as PyTorch or TensorFlow, with proven production deployment experience.

• Hands-on experience working with LLMs in production, including evaluation, tuning, and integration into real systems.

• Deep understanding of lexical and semantic retrieval systems, ranking algorithms, and search relevance methodologies.

• Strong programming skills in Python and/or Golang, with solid foundation in scalable system design.

• Proven ability to define technical roadmaps, identify high-impact opportunities, and drive large-scale system improvements.

• Experience collaborating across functions and influencing technical direction in complex engineering organizations.

• Nice to have: experience building agentic AI frameworks or conversational AI systems in production environments.

Benefits:

• Competitive base salary ranging from $266,000 to $372,400 USD, plus equity (restricted stock units) and potential additional incentives.

• Comprehensive healthcare coverage, including medical, dental, and vision insurance.

• Retirement benefits including 401(k) with employer match.

• Flexible vacation policy and paid volunteer time off.

• Generous paid parental leave and family planning support.

• Mental health, coaching, and wellness benefits, including gender-affirming care support.

• Global employee programs supporting learning, development, caregiving, and flexible work needs.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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