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Remote Audio Signal Processing Machine Learning Jobs in New York

PLAID

Senior Machine Learning Engineer - Credit

Manhattan, NY · On-site +1

$115K - $158K/yr

... processing, anomaly detection, optimization, and time series forecasting, across different product ... signals and productionizing models, and help build the next wave of cash flow based underwriting.

Headspace

Principal Machine Learning Engineer

New York, NY · On-site +1

$207K - $258K/yr

... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ... Additional details about our Total Rewards package will be provided during the recruitment process.

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ... Additional details about our Total Rewards package will be provided during the recruitment process.

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your ...

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Remote Audio Signal Processing Machine Learning information

What is the difference between Remote Audio Signal Processing Machine Learning vs Remote Audio Engineering?

AspectRemote Audio Signal Processing Machine LearningRemote Audio Engineering
Required CredentialsKnowledge of machine learning, signal processing, programming (Python, MATLAB)Audio engineering certifications, audio production experience
Work EnvironmentResearch labs, tech companies, remote collaborationRecording studios, broadcast companies, remote or onsite
Industry UsageDeveloping algorithms for audio enhancement, noise reduction, speech recognitionMixing, mastering, live sound, audio content creation

Remote Audio Signal Processing Machine Learning focuses on developing algorithms using machine learning techniques to improve audio quality and analysis. In contrast, Remote Audio Engineering involves practical audio production, mixing, and recording tasks. Both roles require audio knowledge, but the former emphasizes programming and data science, while the latter centers on sound quality and production skills.

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Remote Audio Signal Processing Machine Learning jobs near you
Infographic showing various Remote Audio Signal Processing Machine Learning job openings in New York as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Senior Machine Learning Engineer - Credit

Senior Machine Learning Engineer - Credit

PLAID

Manhattan, NY • On-site, Remote

$115K - $158K/yr

Other

Medical, Dental, Vision, Retirement

Posted 23 days ago

Job description

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
Plaid's Data team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques, including natural language processing, anomaly detection, optimization, and time series forecasting, across different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.
You'll be a machine learning engineer in the Data org, contributing to diverse, high-impact machine learning challenges. In this role, you'll focus on designing, building, and deploying scalable ML solutions and systems within the credit environment. You'll lead experimentation with new modeling approaches and strategies, collaborate closely with engineers on ingesting signals and productionizing models, and help build the next wave of cash flow based underwriting. You'll own AI and machine learning work across the full model lifecycle, from offline training to online serving and monitoring, while helping define the ML roadmap with cross-functional teams.
Responsibilities

  • Build machine learning systems that empower millions of users through well-known and emerging fintech applications with access to financial services
  • Experiment with cutting-edge machine learning modeling techniques across high-impact credit use cases
  • Work on both 0-1 stage problems and scaling systems from 1-10
  • Develop AI and machine learning models across the full lifecycle, from offline training to online serving and monitoring
  • Design, build, and deploy scalable ML solutions and systems in a production environment
  • Collaborate with teams across Plaid to define the machine learning roadmap
  • Dive deep into data and apply data-driven decision-making in day-to-day work
  • Operate with high ownership on a bottom-up driven team
Qualifications
  • 6+ years of experience training and serving AI and machine learning models in a production environment
  • Experience in fintech lending, with a strong understanding of how models are built in that space
  • Experience building or working with data-intensive backend applications in large distributed systems
  • Ability to code and iterate independently using tools such as Python, Spark, Jupyter notebooks, and standard machine learning libraries
  • Strong ownership mindset and a track record of driving projects to business impact
  • Ability to work effectively with both technical and non-technical teams
  • Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field
  • Nice to have: data analytics and data engineering experience

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

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