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Signal Processing Machine Learning Jobs in New York

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... We have ways to request reasonable accommodations during the interview process and help assist in ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... We have ways to request reasonable accommodations during the interview process and help assist in ...

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 ...

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 · 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 ...

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 ...

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 ...

exacare ai

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their ... data processing, annotation workflows, and ML system efficiency • Deploy and maintain the ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

... 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 ...

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

$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 ...

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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 Jul 24, 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 are some typical projects or responsibilities for a Signal Processing Machine Learning professional?

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 job?

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 the Signal Processing Machine Learning position, and why are they important?

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 July 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $143,700 per year, or $69.1 per hour.
Machine Learning Researcher - PhD: 2026

Machine Learning Researcher - PhD: 2026

Susquehanna International Group, LLP

New York, NY • On-site

$300K/yr

Full-time

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

Job description

Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do
  • Research and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.
  • Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.
  • Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.
  • Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.
  • Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.
  • Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.

What we're looking for
  • PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
  • Visa sponsorship is available for this position

The annual base pay for this role is $300,000. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.
What we offer
  • Collaborate with a world-class team of researchers, engineers, and traders
  • Gain access to best-in-class financial data and high-performance computing resources
  • Directly impact real-time trading performance through your work
  • Thrive in a collaborative, intellectually rigorous environment with a global footprint

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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