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Freelance Embedded Machine Learning Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Cupertino, CA

$181.10K - $272.10K/yr

... shared AI platform and embedded across products - Design, build, and own end-to-end GenAI ... machine learning concepts, including supervised and unsupervised learning; exposure to ...

Heven AeroTech

Machine Learning Engineer

Sterling, VA · On-site

Machine Learning Engineer Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About ... Embedded Linux and ROS experience * Defense/aerospace industry background * Additional Google Cloud ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114.30K - $157K/yr

Expert level coding skills (Python, C++ at minimum) * 3+ years' experience working with machine learning in embedded applications: model quantization, fixed point neural networks (CNN and RNN)

Apple

Embedded ISP Engineer

San Diego, CA · On-site

... and machine learning techniques, all while contributing to the future of photography and ... Build drivers for advanced image processing pipelines in embedded systems, working with the latest ...

Step

Senior Machine Learning Engineer

$107K - $146.90K/yr

About Step We stand for the side hustlers, the creators, the freelancers, and the investors. We are ... You'll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection ...

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How much do freelance embedded machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for freelance embedded machine learning in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Embedded Machine Learning Engineer, and why are they important?

To thrive as a Freelance Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and proficiency in programming languages such as C/C++ and Python, typically supported by a relevant degree in computer engineering or a related field. Familiarity with microcontrollers, edge AI frameworks (like TensorFlow Lite), and tools for model optimization and deployment is crucial. Strong problem-solving, self-motivation, and effective communication with clients set top freelancers apart. These skills ensure the delivery of efficient, reliable embedded ML solutions tailored to client needs and the constraints of resource-limited devices.

What are some common challenges faced by freelance embedded machine learning engineers when working with clients?

Freelance embedded machine learning engineers often encounter challenges such as balancing client expectations with the hardware limitations of edge devices, ensuring model efficiency and accuracy within strict resource constraints, and integrating ML solutions into existing embedded systems. Clear communication with clients about feasible outcomes and iterative prototyping can help address these challenges. Additionally, freelancers may need to manage diverse project requirements and collaborate closely with cross-functional teams, including hardware engineers and software developers, to deliver successful solutions.

What is a Freelance Embedded Machine Learning Engineer?

A Freelance Embedded Machine Learning Engineer is a professional who designs, develops, and implements machine learning algorithms on embedded systems, such as microcontrollers or edge devices, while working independently or on a contract basis. They typically work on projects that require bringing intelligence to hardware-constrained devices, enabling features like real-time data processing, anomaly detection, or predictive maintenance. Freelancers in this field often collaborate with clients from industries such as IoT, automotive, healthcare, and consumer electronics, providing flexible and specialized expertise without long-term employment commitments.

What is the difference between Freelance Embedded Machine Learning vs Embedded Software Engineer?

AspectFreelance Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant certifications in machine learning, embedded systems, programming languages (C/C++, Python)Degree in computer engineering, electrical engineering, or related fields; programming skills in C/C++, RTOS knowledge
Work EnvironmentRemote, project-based, client-specific embedded ML applicationsIn-house or remote development of embedded systems for various industries
Industry UsageAI-driven embedded devices, IoT, robotics, consumer electronicsAutomotive, industrial automation, consumer electronics, medical devices

Freelance Embedded Machine Learning specialists focus on developing AI models for embedded devices on a project basis, often working remotely. Embedded Software Engineers design and implement software for embedded systems, typically within a company or industry setting. While both roles require embedded systems knowledge, freelance embedded ML emphasizes AI integration, whereas embedded software engineering covers broader system development.

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Freelance Embedded Machine Learning jobs near you
Software Engineer - Machine Learning

Software Engineer - Machine Learning

Quantiply Corporation

San Jose, CA • On-site

Full-time

Posted 13 days ago

Job description

Company Description

Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.

Job Description

We're looking for software engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply's growth in the Anti-Money Laundering space.

Ideal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of high-performance computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.

Responsibilities:

  • Develop highly scalable deep learning, reinforcement learning and bayesian models.
  • Support research projects by providing innovative designs for end-to-end Machine Learning systems.
  • Optimize performance of complex machine learning systems. Exploit modern parallel environments.
  • Design and develop software libraries.
  • Partner with Product and Engineering teams to explore new opportunities.
  • Influence product features and product roadmap through exploratory analysis.
  • Report and present software developments verbally and in writing.
Qualifications

Minimum qualifications:

  • PhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience.
  • Strong knowledge and experience in Python, Docker and Kubernetes.
  • Working experience in Tensorflow.
  • Working experience with distributed software architecture.
  • Knowledge of machine learning and statistics.

Preferred qualifications:

  • Strong experience in Tensorflow or similar frameworks.
  • Strong experience with concurrent and distributed software architecture.
  • Experience with Hadoop.
  • Experience with C++/Java/Scala.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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