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Signal Processing Machine Learning Jobs in New York

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 ...

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

The resulting trove of LiDAR and imagery data is processed through our AI models to deliver ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...

Treeswift Inc

Machine Learning Engineer

Manhattan, NY · On-site

The resulting trove of LiDAR and imagery data is processed through our AI models to deliver ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...

ClifyX

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning ... Good experience with agile development processes like Scrum and Kanban * Insist on automating ...

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 ...

Indeed

Machine Learning Engineer

Manhattan, NY

You improve search and retrieval quality using real user signals. Execution includes experiments ... process. The range(s) listed is just one component of Indeed's total compensation package for ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

... processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Manhattan, NY

$85K - $125K/yr

... processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

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 ...

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Signal Processing Machine Learning information

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$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
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners Inc.

Manhattan, NY

$140K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

Machine Learning Engineer

St. Louis, MO; Boston, MA; New York, NY

Position Summary

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end-to-end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and continuous improvement—playing a critical part in shaping our machine learning platform and capabilities.

Primary Responsibilities
  • Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
  • Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
  • Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
  • Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
  • Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
  • Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
  • Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
  • Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications
  • Master's degree in Computer Science, Data Science, Engineering, or a related technical field.
  • 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
  • Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
  • Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with CI/CD pipelines, testing automation, and version control using Git.
  • Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML) is preferred.
  • Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
  • Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.

This is an exempt position. The annualized base pay range for this role is expected to be between $140,000-$180,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate's experience and education.

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