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Engineering Manager - Machine Learning Jobs (On-site work)

4 Job Offers

Senior Manager, Machine Learning Engineering
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United States , McLean; New York
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Salary
229900.00 - 286200.00 USD / Year
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Capital One
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Until further notice
Engineering Manager II, Machine Learning – Rider Pricing & Incentives
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Lead a team of engineers to develop advanced machine learning models that optimize rider pricing and promotions at Uber. You will own a key domain, driving revenue and ridership growth through scalable algorithmic systems. This role in Sunnyvale requires a Master's degree and 7+ years of experien...
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United States , Sunnyvale
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232000.00 - 258000.00 USD / Year
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Uber
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Until further notice
Engineering Manager, Machine Learning - Fraud Detection & Prevention
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Lead the Machine Learning team powering Adyen's real-time fraud detection engine, Protect. This mission-critical role in Amsterdam requires 7+ years in ML/AI and 2+ years managing engineering teams. Drive strategy, mentor talent, and safeguard global payments for top businesses.
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Netherlands , Amsterdam
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Not provided
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Adyen
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Until further notice
Machine Learning Engineering Manager, Recommendations
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Lead the vision and build Suno's music recommendation systems from the ground up in San Francisco. We seek a manager with 5+ years scaling recommender systems and 2+ years leading teams. You'll shape discovery for millions while growing your team, supported by generous equity, unlimited PTO, and ...
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United States , San Francisco
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280000.00 - 350000.00 USD / Year
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Suno
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Until further notice

About the Engineering Manager - Machine Learning role

Lead the future of intelligent systems as an Engineering Manager in Machine Learning. This pivotal role sits at the intersection of advanced technology, strategic leadership, and product innovation. Professionals in these jobs are responsible for building and guiding high-performing teams of machine learning engineers, data scientists, and researchers to deliver impactful AI-driven solutions. They translate complex business problems into actionable ML roadmaps, ensuring their team's work directly contributes to core product goals and user value.

Typical responsibilities for an Engineering Manager - Machine Learning encompass both technical leadership and people management. On the technical side, they oversee the full ML development lifecycle, from problem scoping and data strategy to model development, deployment, and monitoring in production. They establish best practices for ML infrastructure, reproducibility, and scalability, ensuring robust and ethical AI systems. As people leaders, they are tasked with hiring top talent, mentoring engineers, fostering a collaborative and innovative culture, and facilitating career growth. A key part of the role is stakeholder management, effectively communicating technical challenges and progress to cross-functional partners in product, business, and executive leadership.

To excel in these jobs, candidates typically require a strong blend of deep technical expertise and proven managerial skills. A solid foundation in computer science, statistics, and machine learning concepts is essential, often backed by an advanced degree and hands-on experience in building and deploying ML models. Equally important are the leadership competencies: the ability to set clear vision, drive project execution, manage priorities, and resolve conflicts. Strong communication skills are non-negotiable, as is a business-centric mindset that aligns technical work with measurable outcomes. For those passionate about shaping both cutting-edge technology and the teams that build it, Engineering Manager - Machine Learning jobs offer a challenging and rewarding career path at the forefront of the AI revolution.