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Remote Machine Learning Researcher Jobs in New York

Alt

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

We're hiring a Senior Machine Learning Engineer who thrives on owning models end-to-end, from research through production. In this role, you'll own productization of Alt's pricing and underwriting ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

Apply statistical and machine-learning techniques to generate, validate, and improve trading ... Build and operate data pipelines and research platforms for high-quality, reproducible research.

THOMSON REUTERS

Lead Research Engineer

New York, NY · On-site +1

$112K - $147K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

... distributed machine learning systems. Our engineers and researchers are responsible for ... We have a flexible work environment and allow remote work depending on one's personal choice.

SeatGeek

Senior Machine Learning Engineer

New York, NY · On-site +1

$145K - $209K/yr

We are looking for Software Engineers with varying levels of experience to join SeatGeek's R&D team ... learning from others Our stack You do not need experience with all of these, but we thought you ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to ...

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Remote Machine Learning Researcher information

What is a remote machine learning researcher?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

What are the key skills and qualifications needed to thrive as a remote machine learning researcher?

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.

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For Remote Machine Learning Researcher jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Researcher jobs in New York look for?

The top searched job categories for Remote Machine Learning Researcher jobs in New York are:

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Cities in New York with the most Remote Machine Learning Researcher job openings:

Remote Machine Learning Researcher jobs near you
Infographic showing various Remote Machine Learning Researcher job openings in New York as of June 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer, Personalization, Muse

Spotify

New York, NY • On-site, Remote

$184K - $262K/yr

Other

Medical, Retirement, PTO

Re-posted 27 days ago

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 a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to.
This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.
What You'll Do
  • Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
  • Work on prompted playlist experiences with a focus on music fulfillment and session generation
  • Collaborate with cross-functional partners across user research, design, data science, product, and engineering
  • Prototype new ML approaches and bring them into production at global scale
  • Build and improve systems that connect artists and fans in personalized and meaningful ways
  • Contribute to the development of scalable ML systems serving hundreds of millions of users
  • Promote best practices in ML system design, testing, evaluation, and deployment across the organization
  • Actively contribute to a strong community of machine learning practitioners at Spotify

Who You Are
  • You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
  • You have a strong background in machine learning, natural language processing, and generative AI
  • You are comfortable applying theory to build real-world, production-ready applications
  • You have hands-on experience building and deploying end-to-end ML systems at scale
  • You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches
  • You have experience designing modular ML architectures and writing technical specifications in partnership with product teams
  • You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
  • You have worked with cloud platforms like GCP or AWS

Where You'll Be
  • This role is based in New York
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $184,050 $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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