Senior Machine Learning Engineer - Ranking in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer - Ranking in United States.

This role sits at the core of a high-scale digital marketplace, where advanced ranking systems directly shape how users discover, evaluate, and engage with content and advertisements. You will design and optimize machine learning models that balance user satisfaction, business objectives, and system performance in real time. The environment is highly data-driven, combining large-scale experimentation, production ML systems, and continuous optimization. You will work on ranking, prioritization, and personalization algorithms that influence millions of daily interactions. The role requires strong ownership, as you will translate ambiguous product goals into measurable ML solutions. It is a highly collaborative setting, working closely with engineering, product, and analytics teams to deliver impactful, production-grade systems. Your work will directly contribute to improving marketplace efficiency and decision quality at scale.

• 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

• 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

• 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.