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Signal Processing Machine Learning Jobs in New York

Norbert Health

Signal Processing Engineer

New York, NY · On-site

The position We're looking for a Signal Processing Engineer to join our algorithm and development ... Transparent, mission-driven culture focused on continuous learning * Competitive salary and equity

Norbert Health

Signal Processing Engineer

New York, NY · On-site

The position We're looking for a Signal Processing Engineer to join our algorithm and development ... Transparent, mission-driven culture focused on continuous learning * Competitive salary and equity

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Our client is a process driven investment management group consisting of a team of researchers ... They will be responsible for their production grade signal generation and ML systems. They can act ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in ... You care about agile software processes, data-driven development, reliability, and disciplined ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in ... You care about agile software processes, data-driven development, reliability, and disciplined ...

New York University

Researcher (Part-time)

New York, NY · On-site

$26.37/hr

Have training in statistical signal processing, machine learning * Be capabile to apply various mathematical algorithms for biomedical engineering applications * Be able to conduct human subject ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$48K/yr

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

New York University

RESEARCH SCHOLAR

New York, NY · On-site

Expectations Candidates will be responsible for * developing statistical signal processing, machine learning, and various mathematical algorithms for biomedical engineering applications * conducting ...

DRW

Quantitative Researcher - Machine Learning

New York, NY · On-site

$200K - $300K/yr

The role focuses on non-linear signal modeling, regime-aware frameworks, and the integration of new ... For more information about DRW's processing activities and our use of job applicants' data, please ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details ... processing and model deployment - Conduct experiments and perform data analysis to evaluate model ...

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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 Jun 10, 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
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

New York, NY • On-site

Full-time

Posted 2 days ago

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team memberrounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

The position

We're looking for a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that extract clinical-grade physiological signals (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in our algorithm team.

What You'll Do:

  • Design and implement signal processing algorithms for extracting vital signs from video-based sensors (rPPG, rBP)
  • Develop real-time filtering, denoising, and feature extraction methods to achieve clinical-grade accuracy
  • Build validation pipelines comparing our video-based measurements against clinical reference devices (ECG, PPG, BP monitors)
  • Help design studies that ensure millisecond-level synchronization between video streams and reference sensors for accurate ground truth
  • Integrate with the computer vision pipeline (C++) to leverage multi-modal signal enhancement techniques
  • Architect cloud-based QA and automated verification systems for reproducible algorithm validation
  • Prototype algorithms in Python and C++ before deploying them on our production system

What We're Looking For:

  • Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD)
  • Strong fundamentals in digital signal processing, statistical methods, and real-time systems
  • Deep expertise in physiological signal processing (PPG, ECG, respiration, blood pressure)
  • Experience processing low-frequency physiological signals with challenging SNR characteristics
  • Proficiency in both Python (prototyping) and C++ (production integration)
  • Experience with spectral analysis, adaptive filtering, and time-domain methods for real-time applications
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years industry experience developing signal processing algorithms for medical or physiological sensing applications (or equivalent with PhD)

Bonus Points:

  • Experience with contact-based and contactless vital sign measurement technologies
  • Background working with medical-grade measurement devices and clinical reference standards
  • Experience with embedded signal processing (ARM, edge devices)
  • Knowledge of motion artifact removal and noise reduction in challenging environments
  • Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)
  • Background in medical devices, regulated environments, or clinical validation studie

What We Offer:

  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll define our signal processing approach
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Talented, international team tackling meaningful problems in healthcare
  • Equity participation in the company's future
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Transparent, mission-driven culture focused on continuous learning
  • Competitive salary and equity