Ladders

For our client, we are seeking a Senior Applied Scientist I, Recommendations Ranking to join the team of a leader in the Consumer Technology space.
This role will focus on advancing the ranking and personalization capabilities behind a large-scale consumer marketplace experience. You will partner closely with engineering and product teams to improve how buyers discover relevant items, translating user behavior into more effective machine learning systems. The work will center on building predictive models, optimizing real-time responsiveness, and evaluating experiments that inform better recommendations and stronger user engagement.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $164,000 – $246,000 annually
Responsibilities
<ul>
<li>Collaborate with engineers and product teams to enhance the recommendation system</li>
<li>Build user models to understand buyer interests and shopping behavior</li>
<li>Develop tailored models for unique marketplace challenges</li>
<li>Design predictive models for buyer needs and behaviors</li>
<li>Optimize ML models for real-time responsiveness to user actions</li>
<li>Conduct experiments to evaluate ML model effectiveness</li>
</ul>
Qualifications
<ul>
<li>M.S. or Ph.D. in Computer Science or a related field</li>
<li>2+ years of practical machine learning experience</li>
<li>Strong background in deep learning and reinforcement learning</li>
<li>Hands-on experience with deployed ML systems in production</li>
<li>Proficiency in Python, Scala, PyTorch, or TensorFlow</li>
<li>Ability to write clean, maintainable, and testable code</li>
</ul>
Benefits
<ul>
<li>Equity package</li>
<li>Annual performance bonus</li>
<li>Comprehensive benefits for employees and families</li>
<li>Flexible work modes to accommodate diverse needs</li>
<li>In-office attendance varying by proximity to the Brooklyn office</li>
</ul>
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Senior Applied Scientist I, Recommendations Ranking

Senior Applied Scientist I, Recommendations Ranking

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