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Dsp Ml Engineer Jobs (NOW HIRING)

DeepSig, Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ... Working with real-world RF datasets and ML driven RF systems which are unique and unrivaled ...

DeepSig Inc

Machine Learning DSP Engineer

Arlington, VA · On-site

$164K - $192K/yr

We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ... Working with real-world RF datasets and ML driven RF systems which are unique and unrivaled ...

Cryptic Vector

DSP/VHDL Engineer

West Chester, OH · On-site

$134K - $157K/yr

VHDL/DSP Engineer Cryptic Vector is seeking a skilled VHDL/DSP Engineer to design and develop ... AI/ML experience a plus Benefits & Perks As an Employee First company, we offer a comprehensive and ...

Cryptic Vector

DSP/VHDL Engineer

Liberty Township, OH · On-site

$134K - $157K/yr

VHDL/DSP Engineer Cryptic Vector is seeking a skilled VHDL/DSP Engineer to design and develop ... AI/ML experience a plus Benefits & Perks As an Employee First company, we offer a comprehensive and ...

Hp

Embedded AI/ML Developer

Spring, TX · On-site

$117K - $154K/yr

The engineer will work closely with hardware, firmware, software, and data science teams to ... Familiarity with AI accelerator SDKs, NPU/DSP/GPU offload, heterogeneous compute, and hardware ...

CACI

DSP Communications Engineer

Colorado Springs, CO · On-site

$82K - $172K/yr

DSP Communications Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... ML) estimation, and other common estimation techniques. Familiarity with Python, including the ...

CACI

DSP Communications Engineer

Colorado Springs, CO · On-site

$82K - $172K/yr

DSP Communications Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... ML) estimation, and other common estimation techniques. Familiarity with Python, including the ...

Create Music Group

Staff AI Engineer

Los Angeles, CA · On-site

... on DSP's. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has ... Mentor the ML Engineer and future AI hires; raise the bar on code review, design docs, and eval ...

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Dsp Ml Engineer information

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How much do dsp ml engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for dsp ml engineer in the United States is $154,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a DSP ML engineer?

A DSP ML Engineer is a professional who specializes in combining digital signal processing (DSP) techniques with machine learning (ML) algorithms to analyze and interpret signals such as audio, images, or sensor data. These engineers design systems that can process large volumes of real-world signals, extract meaningful features, and apply machine learning models for tasks like classification, enhancement, or prediction. They often work in industries like telecommunications, audio technology, healthcare, and robotics, where efficient and intelligent processing of signals is crucial. The role requires expertise in both signal processing theory and modern machine learning frameworks.

What are the key skills and qualifications needed to thrive as a DSP ML engineer?

To thrive as a DSP ML Engineer, you need a strong background in digital signal processing, machine learning algorithms, and programming languages such as Python or C++, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with MATLAB, TensorFlow, PyTorch, and signal processing libraries, as well as relevant certifications, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you stand out in this multidisciplinary role. These skills are crucial for designing robust solutions that integrate signal processing and machine learning, ensuring optimal system performance and innovation.

How do DSP ML engineers typically collaborate with other teams during product development?

DSP ML Engineers frequently work alongside hardware engineers, data scientists, and software developers to integrate machine learning algorithms with digital signal processing systems. Collaboration often involves regular meetings to align on requirements, joint debugging sessions, and sharing insights about data preprocessing and model optimization. Effective communication and teamwork are crucial, as DSP ML Engineers translate complex signal data into actionable models that fit within system constraints. This cross-functional environment provides opportunities to broaden technical knowledge and build influential relationships across disciplines.

What is the difference between Dsp Ml Engineer vs Data Scientist?

AspectDsp Ml EngineerData Scientist
Required SkillsMachine learning, signal processing, DSP algorithms, programming (Python, C++)Statistics, data analysis, machine learning, programming (Python, R)
Work EnvironmentEmbedded systems, hardware integration, real-time processingData analysis, modeling, visualization, research
Industry UsageTelecommunications, audio/video processing, IoT devicesFinance, healthcare, marketing, research

While both roles involve machine learning, Dsp Ml Engineers focus on signal processing and real-time embedded systems, whereas Data Scientists primarily analyze data and build predictive models for business insights. The roles overlap in ML skills but differ in application and environment.

What are popular job titles related to Dsp Ml Engineer jobs?

For Dsp Ml Engineer jobs, the most frequently searched job titles are:

Infographic showing various Dsp Ml Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $154,224 per year, or $74.1 per hour.

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Chicago, IL • Remote

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$80 - $150/hr

Contractor

Re-posted yesterday

Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).