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Machine Learning Engineering Manager II New York, NY Engineering – Personalization / Permanent / Remote Apply for thi...

Executive Engineer Machine Learning

$176k - $251k · Senior Fully remote

Associate Machine Learning Engineer, Trust & Safety Intelligence New York, NY Data and Analytics – Trust & Safety / P...

Engineer Machine Learning Tensorflow Pytorch

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We’re hiring a ML OPs Engineer Join Galent and help us deliver high-impact technology solutions that shape the future...

Fulltime Machine Learning Mlops

Fully remote

A position at White Cap isn’t your ordinary job. You’ll work in an exciting and diverse environment, meet interesting...

Fulltime Machine Learning Mlops

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NVIDIA is seeking a Senior MLOps Engineer to help design and scale the infrastructure that powers our AI research and...

Fulltime Ai Machine Learning Mlops

$184k* · Senior Fully remote

Medal enables millions of gamers to capture and share their best gaming moments and create memories together. This ro...

Fulltime Ai Machine Learning Computer Vision

$350k - $450k · Senior Fully remote

Full-Stack AI ML Engineer Work Model 4 days onsite in Dallas, TX Pay: $60-80/HR 6 month contract to hire No C2C candi...

Fulltime Machine Learning

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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who a...

Fulltime Remote Machine Learning

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Machine Learning Engineer – Early Hire at AI Startup We’re partnered with a high-growth startup that’s building next-...

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Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Engineering Gene...

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RESPONSIBILITIES: Kforce has a client that is seeking an AI Specialist/ML Engineer in Walnut Creek, CA. This is a con...

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HealthTech Start-Up | Fully Remote (US) | $200,000 I’m supporting a stealth-mode HealthTech start-up that is building...

Fulltime Remote Machine Learning Data Science

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Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 coun...

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Johnson Controls International (JCI) is seeking a Senior Data Scientist to join our innovative and impact-driven Data...

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Data Engineer - Platform Central Data Toronto Engineering – Platform / Remote Apply for this job We’re looking for a ...

Engineer Scala Python Spark

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About Fluix FLUIX is building the AI Operating System for data centers. We deploy autonomous AI that optimizes, predi...

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Machine Learning Engineer Intern, Simulation Foster City, CA / Seattle, WA Zoox Internships – Software / Internship/C...

Engineer Intern Entry Level Machine Learning

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Machine Learning Engineer Intern, Perception Foster City, CA / Boston, MA Zoox Internships – Software / Internship/Co...

Engineer Intern Entry Level Machine Learning

$5k - $9k · Senior Fully remote

Machine Learning Engineer Intern, Autonomy Behavior Foster City, CA Zoox Internships – Software / Internship/Co-op / ...

Engineer Intern Entry Level Machine Learning

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This position is hybrid and sits within our Product Development division, which develops, tests, and improves our sof...

Fulltime Remote Ai Machine Learning

Fully remote

Selected role

Machine Learning Engineering Manager II

Spotify New York, NY

$176k - $251k Senior Full-time

The Personalization team at Spotify makes deciding what to play next effortless and enjoyable for every listener. We aim to deeply understand music, podcasts, audiobooks, and videos to deliver exceptional recommendations that keep hundreds of millions of people engaged every day. Our work spans across experiences like Home, Search, curated playlists such as Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists.

As an ML Engineering Manager, you will provide technical leadership to a squad of engineers focusing on exciting new AI-driven experiences. In collaboration with a cross-functional and cross-team leadership group, you will help shape the future of Spotfiy’s agentic reasoning and orchestration tech stack. Join us and you’ll help millions of users discover and connect with the world’s audio content every day.

What You'll Do

Lead a talented team of ML, backend, and data engineers to build and launch innovative AI-driven personalized experiences
Debate and align technical strategies with senior engineering leaders and partner teams, translate these strategies clearly back to your squad, and actively guide architectural vision and day-to-day ML modeling and coding decisions
Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams
Champion AI-assisted coding practices, continually expanding the team's technical capabilities
Foster strong research partnerships to scale innovative solutions from experimentation to production
Develop and grow your team's talent through hiring, coaching, mentoring, and fostering a collaborative, adaptive culture

Who You Are

You have experience leading delivery of consumer-facing ML products at scaleYou are energized by rapid change, ambiguity, and opportunity, with a proven track record transforming innovative ideas into impactful products
You are excited but not overhyped by the potential of Generative AI and agent technologies
You are comfortable providing detailed technical direction and resolving complex engineering challenges
You thrive when developing great people and phenomenal, meaningful products
You have experience in cultivating a strong engineering culture in an agile environment
You have experience in people management, with the humility to realize where you’re still growing

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
The squad is based in New York City. This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $176,166- $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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