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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 ...

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 ...

Canals, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$120/hr

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 ...

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Data Scientist ll - Digital Intelligence

Manhattan, NY · On-site

$140 - $190/hr

... machine learning features, analytical methods, and production-oriented risk signals using device ... Experience with distributed data processing tools such as Spark, PySpark, Databricks, or equivalent ...

WireScreen

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

S&P Global

Machine Learning Engineer II

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.

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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 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 Engineer

Canals

New York, NY • On-site

Full-time

Re-posted 13 hours ago

Job description

About Canals
Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.
Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.
We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.
The Role
Our customer base is expanding fast, and AI is central to how we scale and deliver value. We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.
What You'll Do
  • Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.
  • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.
  • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.
  • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.
  • Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.
  • Help shape the future of Canals as we continue scaling with our customers.
What You'll Bring
  • Senior-level experience building and deploying machine learning models in production environments.
  • Experience designing scalable data pipelines and working with large datasets.
  • Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.
  • Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).
  • Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.
  • Experience working independently in a fast-paced, product-focused environment.
  • Previous experience in high-growth startups or small teams is a plus.
  • Familiarity with MLOps practices and tools is a plus.
Why Join Canals
We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.
We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.
We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.
You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.
We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.
We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.
Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.

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