Senior Machine Learning Engineer - Ranking

Accountabilities:

• Design, develop, and continuously improve ranking and recommendation systems using machine learning, experimentation, and statistical rigor

• Translate high-level product and business objectives into measurable ranking metrics and deliver consistent performance improvements

• Develop and enhance offline and online evaluation frameworks to ensure alignment between experimentation and production outcomes

• Build and maintain high-quality feature and signal pipelines, integrating structured and unstructured data such as text, images, and metadata

• Ensure robustness of ML systems by addressing model drift, calibration, and uncertainty in production environments

• Collaborate closely with cross-functional teams including Engineering, Product, Analytics, and Business stakeholders to deliver end-to-end ML solutions

Requirements:

• Advanced degree (MS or PhD) in Computer Science, Statistics, Mathematics, or a related field, with 3+ years post-PhD experience or 5+ years of industry experience

• Strong background in applied machine learning, statistics, optimization, and ranking/recommendation systems

• Proficiency in Python and strong software engineering practices, including testing, CI/CD, and scalable system design

• Experience working with large-scale datasets, distributed systems, and low-latency production ML environments

• Solid understanding of experimentation frameworks, A/B testing, and metric design

• Strong communication skills and ability to collaborate effectively in cross-functional teams

• Ownership mindset with a track record of delivering impactful production ML systems

• Preferred: experience with feature stores, observability systems, SQL, linear algebra, combinatorial optimization, drift detection, and multimodal ML signals

Benefits:

• Competitive annual salary range: $140,000 – $170,000 USD

• Eligibility for performance-based bonus or commission

• Equity participation in the form of restricted stock units (RSUs)

• Comprehensive health care coverage (medical, dental, vision)

• Retirement savings plans

• Paid time off, including vacation, sick leave, and parental leave

• Flexible remote work environment (#LI-REMOTE)

• Exposure to large-scale, high-impact ML systems and advanced experimentation platforms

• Career growth in a data-driven, innovation-focused engineering environment.

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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