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Remote Signal Processing Research Scientist Jobs

Spotify

Research Scientist - Music

New York, NY · On-site +1

$132.07K - $188.68K/yr

We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and ... and signal processing. * Run large-scale experiments with access to Spotify's extensive ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

... processing * Experience handling noisy data, uncertainty propagation, and error estimation in a ... Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

... processing * Experience handling noisy data, uncertainty propagation, and error estimation in a ... Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ...

Prolific

Research Scientist

We offer competitive compensation, benefits, and flexible remote working options. Be part of a team ... Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where ...

FAR.AI

$120K - $190K/yr

Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person ... Application process: A 72-minute programming assessment, two interviews with members of our ...

Waabi

$158K - $269K/yr

... signal that makes them better, and form a core pillar of our scientific safety case to put them on ... process please let our recruiting team know.

bioMerieux

Clinical Research Scientist

Salt Lake City, UT · On-site +1

... processes, study management and other study execution tasks Study Planning, Strategy and Reporting ... Perform on-site and remote site qualification visits, site initiation visits, interim monitoring ...

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How much do remote signal processing research scientist jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote signal processing research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Signal Processing Research Scientist, and why are they important?

To thrive as a Remote Signal Processing Research Scientist, you generally need an advanced degree in electrical engineering, computer science, or a related field, with a solid foundation in mathematics and signal processing theory. Familiarity with programming languages like MATLAB or Python, experience in simulation tools, and knowledge of machine learning frameworks are typically required, and certifications in data science or digital signal processing can be advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas clearly are crucial soft skills for standing out in this position. These competencies are essential to innovating, interpreting data accurately, and collaborating effectively in multidisciplinary, remote research environments.

How does a Remote Signal Processing Research Scientist typically collaborate with cross-functional teams, and what communication tools are commonly used in this remote setting?

Remote Signal Processing Research Scientists frequently work with multidisciplinary teams, including data scientists, hardware engineers, and software developers. Collaboration is often facilitated through digital platforms such as Slack, Microsoft Teams, and project management tools like Jira or Asana. Regular virtual meetings and shared documentation ensure alignment on research goals, data requirements, and model development. Clear and proactive communication is key to overcoming remote work challenges, such as time zone differences and asynchronous feedback.

What is a Remote Signal Processing Research Scientist?

A Remote Signal Processing Research Scientist is a professional who specializes in analyzing and interpreting signals, such as audio, radar, or biomedical data, using advanced mathematical and computational techniques. Working remotely, they design algorithms and models to extract meaningful information from complex signals, often to improve technology in fields like communications, healthcare, or defense. Their work typically involves research, programming, collaboration with multidisciplinary teams, and publishing findings. These scientists often hold advanced degrees in engineering, physics, or related fields and use tools like MATLAB, Python, or specialized signal processing software.

What is the difference between Remote Signal Processing Research Scientist vs Remote Data Scientist?

AspectRemote Signal Processing Research ScientistRemote Data Scientist
Required CredentialsMaster's or PhD in Electrical Engineering, Computer Science, or related fields; expertise in signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, tech companies, or academia focusing on signal analysis and algorithm developmentBusiness, tech firms, or consulting firms analyzing large datasets to derive insights
Industry UsageTelecommunications, defense, audio/video processingFinance, marketing, healthcare, tech industries

The Remote Signal Processing Research Scientist focuses on developing algorithms for analyzing signals in fields like telecommunications and defense, requiring advanced technical credentials. In contrast, the Remote Data Scientist applies statistical and machine learning techniques to large datasets across various industries. While both roles involve data analysis, their core skills and work environments differ significantly.

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Remote Signal Processing Research Scientist jobs near you

Research Scientist - Music

Spotify

New York, NY • On-site, Remote

$132.07K - $188.68K/yr

Other

Medical, Retirement, PTO

Posted 11 days ago

Job description

We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:
Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/
What You'll Do
  • Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.
  • Run large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users.
  • Create practical applications that harness generative technologies, pushing the boundaries of what's possible in listening experiences.
  • Collaborate as part of a cross-functional team-working closely with scientists, engineers, product managers, designers, user researchers, and analysts-to craft innovative solutions to complex challenges.
  • Have a direct impact on Spotify's products, tools, and services, working on projects that influence the entire organization.
  • Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.

Who You Are
  • You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
  • You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
  • You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
  • You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.
  • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
  • You are enthusiastic about learning more about turning research ideas into products operating at scale.
  • You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.

Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.
  • Core working hours are CET 3pm-6pm / EST 9am-12pm.

The United States base range for this position is $132,073 - $188,676 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. 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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