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Remote Process Engineering Manager Jobs in Massachusetts

Quanterix

Sr. Process Engineer

Billerica, MA · On-site +1

$105K - $130K/yr

BASIC QUALIFICATIONS: * BS in molecular biology, biochemistry, chemistry, engineering, or a related ... Billerica, MA; onsite, hybrid, or remote arrangement to be confirmed by the hiring manager.

Vestmark, Inc.

Manager, Software Engineering

Boston, MA · On-site +1

Co-own the kanban process with product management: maintain flow, manage WIP, prioritize ruthlessly ... Integrate engineers from different starting points into a cohesive team with shared standards ...

Danaher

Senior Engineer, Process Validation

Boston, MA · On-site +1

$100K - $130K/yr

This position reports to the Process Validation Manager and is part of the Technical Operations ... Bachelor or master degree in engineering and 5+ years of experience * Prior experience in leading ...

Danaher

Senior Engineer, Process Validation

Boston, MA · On-site +1

$100K - $130K/yr

This position reports to the Process Validation Manager and is part of the Technical Operations ... Bachelor or master degree in engineering and 5+ years of experience * Prior experience in leading ...

TripleTen

Our team is fully remote and globally distributed, and we serve a large, active student base across ... process and keeping up with deadlines. Your audience: experienced engineers looking to level up to ...

RINA

Senior Structural Engineer

Boston, MA · On-site +1

$150K - $200K/yr

Remote options from other US locations may be considered. Compensation Data $150,000-$200,000 ... or Engineering Manager. Key Accountabilities Technical Execution & Project Support: * Plan and ...

Merlin Labs

You think of configuration management as a design discipline, not paperwork - the thing that makes ... Partner directly with engineering, program, and process assurance teams to apply consistent CM ...

STR

Senior Scientist - Radar Signal Processing

Woburn, MA · On-site +1

$139K - $170K/yr

... Engineer to develop advanced sensing concepts utilizing adaptive radar signal processing, resource ... remote sensing, or resource management; or a strong background in a foundational field for these ...

TripleTen

Our team is fully remote and globally distributed, and we serve a large, active student base across both regions. We're launching a program for experienced engineers transitioning into system ...

TripleTen

$113K - $155K/yr

Our team is fully remote and globally distributed, and we serve a large, active student base across ... engineering manager. They've shipped real software for years and are moving deliberately into ...

YO AI Labs

CUDA Engineering Expert - Remote

Boston, MA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Document optimization processes, findings, and performance improvements. * Contribute to GPU ...

YO AI Labs

CUDA Engineering Expert - Remote

Boston, MA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Document optimization processes, findings, and performance improvements. * Contribute to GPU ...

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Machine Learning Engineering Manager, Personalization

Boston, MA • On-site, Remote

Spotify
See more jobs at Spotifyexternal

$184K - $262K/yr

Other

Medical, Retirement, PTO

This job post has expired 4 days ago. Applications are no longer accepted.

Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.
You'll join the Saturn squad within Sessions, part of Spotify's Personalization Mission. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix. As part of Personalization's broader strategy, the team is also helping shape the future of generative recommendations by developing and adopting new approaches that leverage large language models, including fine-tuning models to improve the quality, relevance, and personalization of our playlists. As the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day.
What You'll Do
  • Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture.
  • Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities.
  • Guide the design, development, deployment, and operation of production machine learning systems at scale.
  • Support engineers through technical mentorship, career development, performance management, and regular feedback.
  • Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.
  • Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.
  • Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
  • Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.

Who You Are
  • You have experience leading and developing high-performing engineering teams.
  • You have built trust through coaching, mentoring, and supporting engineers in their career growth.
  • You have deep expertise building and operating production machine learning systems at scale.
  • You understand the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.
  • You are experienced working with modern machine learning techniques, including large language models and generative AI applications.
  • You communicate effectively across engineering, product, and data science partners.
  • You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.
  • You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.

Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern Standard time zone.
The United States base range for this position is $184,049- $262,928 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.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
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. Find our AI notice here: https://lifeatspotify.com/ai-notice

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