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Signal Processing Machine Learning Jobs in New York

Canals

Machine Learning Engineer

New York, NY · On-site

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Canals

Machine Learning Engineer

New York, NY · Remote

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Contribute to development of real-time software systems for neural signal processing and data ... Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Contribute to development of real-time software systems for neural signal processing and data ... Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Contribute to development of real-time software systems for neural signal processing and data ... Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

... signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications, and prepared for conducting human subject research including ...

WireScreen

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ... data ingestion processes, building analytics and insights into our platform at a scale not ...

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Signal Processing Machine Learning information

See New York salary details

$58.5K

$143.7K

$211.7K

How much do signal processing machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for signal processing machine learning in New York is $143,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $161,400.00 per year, depending on experience, location, and employer.

What is a signal processing machine learning?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

What does a signal processing machine learning do?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.

What are the key skills and qualifications needed to thrive in signal processing machine learning?

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What are popular job titles related to Signal Processing Machine Learning jobs in New York?

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

What job categories do people searching Signal Processing Machine Learning jobs in New York look for?

The top searched job categories for Signal Processing Machine Learning jobs in New York are:

Signal Processing Machine Learning jobs near you
Infographic showing various Signal Processing Machine Learning job openings in New York as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $143,700 per year, or $69.1 per hour.

Associate Research Scientist - Machine Learning, Center for Computational Mathematics (Joint with Co

Flatiron Institute

NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description
Organizational Overview
The Simons Foundation is a private foundation established in 1994 in New York City by Jim and Marilyn Simons. With an annual grants and programs budget of $300 million, the foundation's mission is to advance the frontiers of research in mathematics and the basic sciences. The foundation pursues its mission through its grant-making division, comprising programs in Mathematics & Physical Sciences, Life Sciences, Education & Outreach and autism research, and through its internal research division, the Flatiron Institute.
The Flatiron Institute, an internal research division of the Simons Foundation, is a community of scientists who are working to use modern computational tools to advance our understanding of science both through the analysis of large, rich datasets and through the simulations of physical processes. Our mission is to advance scientific research through computational methods, including data analysis, theory, modeling and simulation.
Directed by Dr. Leslie Greengard, the mission at the Flatiron Institute's Center for Computational Mathematics is to create new mathematical approaches, algorithms and software to advance scientific research in multiple disciplines, often in collaboration with other Flatiron Centers. CCM has particularly strong research groups in the areas of numerical analysis, image and signal processing, computational statistics, and machine learning.
Please see https://www.simonsfoundation.org/flatiron/center-for-computational-mathematics/ for a full description of the goals of the research groups and science staff
Position Summary
The Department of Computer Science at The Cooper Union for the Advancement of Science and Art, jointly with the Center for Computational Mathematics (CCM) of the Simons Foundation's Flatiron Institute invites outstanding candidates to apply for a joint computer science faculty position in the general area of machine learning.
The position is a 50-50 joint appointment between The Cooper Union and CCM, with the appointee allocating half of their effort in each place.
At The Cooper Union, the position is a tenured track full-time faculty position in computer science and will be engaged in accordance with Cooper Union's relevant policies and procedures. At CCM, the position will be at the Associate Research Scientist level, in accordance with the Simons Foundation's relevant policies and procedures.
The position is based at the Simons Foundation and The Cooper Union offices in New York City. It is expected that, subject to satisfactory progress in research, the Associate Research Scientist appointment at CCM will last for the duration of three years; afterwards, the joint appointment will end and the person in this position will continue with their faculty appointment at The Cooper Union.
Essential Functions/Responsibilities
Expertise in all areas of machine learning including deep learning, Bayesian statistics, probabilistic modeling, optimization, learning theory, high dimensional data analysis and visualization, computer vision, and applications of machine learning for science. The candidate should be capable of teaching broadly across the undergraduate computer science curriculum, including courses such as introductory programming, data structures and algorithms, and advising project courses at all levels.
  • Conduct research in a scientific area of relevance to the CCM and/or develop and implement novel algorithms and codes needed for CCM-related research
  • Publish research in refereed scientific and technical journals and present research at scientific conferences
  • Provide publicly available software for use by the scientific community
  • Manage and participate in collaborative efforts within the Flatiron Institute and the Simons Foundation, as well as outside scientific collaborators
  • Assist in the organization of CCM-related workshops, conferences and group seminars
  • Supervise research conducted by Flatiron research fellows and graduate and undergraduate students from neighboring institutions
  • Mentor summer students and assist in the organization of summer programs
  • Perform any other duties or tasks as assigned or required

Qualifications
Minimum Qualifications:
An earned doctorate in computer science or closely related area of computational science and engineering is required. Interested and qualified candidates should submit in one searchable PDF document.
Education
  • An earned doctorate in computer science or closely related area of computational science and engineering is required.

Experience:
  • Two or more years of postgraduate research experience
  • Ability to do original and outstanding research in machine learning
  • Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific simulation;
  • Expertise in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, and data analysis;
  • Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists;
  • Oral and written communication, data documentation, and presentation skills required;
  • Ability to handle multiple projects at the same time required; and,
  • Ability to present research and other types of work, internally and externally

Application Instructions
Required Application Materials
The application materials should include:
  • A cover letter that addresses interest in the joint position and how you envision your teaching and research will contribute to both institutions
  • A current curriculum vitae
  • A statement of your teaching philosophy (typically 1-2 pages)
  • A research statement that addresses your current activities and interests, your future plans and goals. This statement should specifically address how you would make use of the joint appointment and involve undergraduates in your research program (4 pages maximum).
  • One or two representative published research papers in PDF format.
  • Three confidential reference letters submitted directly to each institution.

Review of applications is ongoing with a priority deadline of December 20th, 2025 and will continue until the position is filled.
This is a unionized position at Cooper Union. This is a non-union position at Simons Foundation.
Important: in order to be considered for this joint appointment, candidates must submit their application to both CCM and Cooper Union. Click here to be directed to the Cooper Union application.
Nominations and reference letters should be sent to hr@cooper.edu and questions may be sent to Department Chair Sam Keene at sam.keene@cooper.edu. Letters should be submitted to CCM via Interfolio.
Compensation and Benefits
  • The full-time annual compensation range for this position is $115,000- $130,000.
  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Apply