Senior Machine Learning Engineer, Search & Recommendations Ranking at Jobgether – United States
Jobgether
United States, United States
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About This Position
Senior Machine Learning Engineer, Search & Recommendations Ranking
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer, Search & Recommendations Ranking in United States.
This role is focused on architecting and scaling the ranking systems that power search, recommendations, and personalization across a high-traffic e-commerce platform. You will design multi-task, multi-objective models that optimize for long-term value, relevance, and user engagement, while leveraging LLMs to enhance features and recall. Partnering closely with engineers, product managers, and data teams, you will lead the development of production-grade ML systems, ensure low-latency serving, and mentor other ML engineers. The position combines cutting-edge research with practical implementation, influencing user experience, revenue, and retention. You will be part of a remote-first, high-collaboration environment, contributing to both technical strategy and operational excellence in large-scale machine learning systems.
Accountabilities:- Architect and implement the ranking backbone that unifies search, personalization, ads, and merchandising into a single adaptive platform.
- Design and develop multi-task learning models (e.g., shared encoders, MMOE/PLE task heads) to jointly learn relevance, propensity, margin, and churn risk.
- Build value-aware, long-horizon objective functions and uplift/causal models to optimize incremental revenue, retention, and user engagement.
- Own low-latency inference pipelines including re-ranking, diversity and quality constraints, and safe exploration strategies.
- Advance evaluation practices through online experiments, counterfactual analyses, and attribution pipelines to measure long-term impact.
- Collaborate with cross-functional teams including product, ads, infrastructure, and design to translate business goals into ML policies and measurable ROI.
- Mentor and guide ML engineers, fostering expertise in ranking, causal inference, and scalable serving systems.
Requirements:
- 5+ years of experience applying ML at scale, with at least 3 years in technical leadership roles improving ranking or recommendation systems.
- Proven experience with multi-objective or constrained optimization to balance relevance, revenue, margin, and user experience.
- Strong coding skills in Python and data fluency using SQL/Pandas; experience with XGBoost and deep learning frameworks such as TensorFlow or PyTorch.
- Solid understanding of low-latency serving architectures, feature stores, caching, vector/lexical retrieval, and re-ranking systems.
- Expertise in multi-task learning, calibration, counterfactual evaluation, uplift/causal modeling, or contextual bandits is preferred.
- Hands-on experience leveraging LLMs for feature enrichment, long-tail recall, or reasoning-rich context in ML pipelines.
- Excellent analytical, problem-solving, and cross-functional communication skills.
- Experience with remote-first collaboration and asynchronous alignment across teams and time zones.
Benefits:
- Competitive base salary, with ranges depending on U.S. location: $173,000$219,000.
- Equity grants for new hires and annual refresh grants.
- Comprehensive medical, dental, and vision coverage.
- Flexible PTO and remote-first work culture.
- Opportunities for mentorship, professional development, and research contributions.
- Access to cutting-edge ML infrastructure and projects impacting millions of users.
- Inclusive and collaborative environment with a focus on innovation and learning.
Why Apply Through Jobgether?
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!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location
United States, United States
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