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Signal Processing Machine Learning Jobs in New York

Hang

Machine Learning Engineer

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

Experience with data processing and data analytics. * Experience with vector databases ... Knowledge of machine learning techniques and algorithms, including fine tuning processes and ...

Point72

Machine Learning Engineer

New York, NY · On-site

Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ... Experience with natural language processing technology is strongly preferred * Excellent analytical ...

Point72

Machine Learning Engineer

New York, NY

Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ... Experience with natural language processing technology is strongly preferred * Excellent analytical ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY

$133K - $176K/yr

... signals. Preferred Qualifications * A degree in Computer Science, Machine Learning, or a related ... field, or equivalent professional experience. * A strong theoretical foundation in core Machine ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... image processing utilizing vision-language models, or other real-time ML-based systems in a ...

New

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

... signals. Preferred Qualifications * A degree in Computer Science, Machine Learning, or a related ... field, or equivalent professional experience. * A strong theoretical foundation in core Machine ...

Paramount

Principal Machine Learning Engineer

Manhattan, NY · On-site

$233K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with Content Engineering to leverage visual embeddings and computer vision signals to ... Proficiency in Python, PyTorch/TensorFlow , and big-data processing (Spark/Databricks)

Paramount

Principal Machine Learning Engineer

Manhattan, NY

$233K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with Content Engineering to leverage visual embeddings and computer vision signals to ... Proficiency in Python, PyTorch/TensorFlow , and big-data processing (Spark/Databricks)

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 ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

  • Retirement

  • PTO

... processes) is encouraged. * A track record of scoping and delivering projects in a customer facing ... Building machine learning models and pipelines in Python, using common libraries and frameworks (e ...

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 ...

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Showing results 21-40

All JobsSignal Processing Machine Learning JobsSignal Processing Machine Learning Jobs in New York

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 Aug 14, 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 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 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 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 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,700 per year, or $69.1 per hour.

Machine Learning Specialist

Applied Physics

New York, NY • On-site

Full-time

Re-posted 29 days ago

Job description

Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields.
Responsibilities:
  • Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
  • Implement, train, and validate proposed algorithms for specific problem domains.
  • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities.
  • Collaborate with others in a multidisciplinary team environment to accomplish research goals.
  • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
  • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
  • Travel as required to coordinate research with collaborators and visit field sites.

Requirements
  • PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques.
  • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods).
  • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++.
  • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
  • Proven ability to undertake original research and communicate findings in peer-reviewed publications.
  • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions.
  • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.

Benefits
We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.
If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Apply