ZipRecruiter

Log In

1

From Home Embedded Machine Learning Jobs (NOW HIRING)

MORSE Corp

Machine Learning Engineer

Seattle, WA · On-site

... from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and ... embedded system. You will be part of our team working to accelerate our US National Security ...

MORSE Corp

Machine Learning Engineer

Cambridge, MA · On-site

... from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and ... embedded system. You will be part of our team working to accelerate our US National Security ...

MORSE Corp

Machine Learning Engineer

Arlington, VA · On-site

... from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and ... embedded system. You will be part of our team working to accelerate our US National Security ...

EarnIn

Machine Learning Intern

Mountain View, CA · Hybrid

$40/hr

POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key drivers of growth, our operations highly rely on machine learning models, from business decisions to customer ...

Actalent

Sr. Staff Embedded AI Engineer

Columbia, MD

$122.10K - $160K/yr

Work across the stack from neural network internals and model architecture to low-level embedded software and hardware-specific optimizations. * Integrate machine learning frameworks such as ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

... want to hear from you! - Partner with business and product teams to identify high-impact ... shared AI platform and embedded across products- Design, build, and own end-to-end GenAI ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

You may have the flexibility to work from home one or more days per week. This position will be ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

HealthEdge

Machine Learning Engineer

... from problem discovery, through prototyping, evaluation, hardening, and production deployment ... Experience working directly with non-technical stakeholders or in embedded/consulting-style ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

You may have the flexibility to work from home one or more days per week. This position will be ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

HealthEdge

Machine Learning Engineer

... from problem discovery, through prototyping, evaluation, hardening, and production deployment ... Experience working directly with non-technical stakeholders or in embedded/consulting-style ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

You may have the flexibility to work from home one or more days per week. This position will be ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

next page

Showing results 1-20

People also search for

All JobsFrom Home Embedded Machine Learning Jobs

From Home Embedded Machine Learning information

See salary details

$70K

$153.4K

$174K

How much do from home embedded machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for from home 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 jobs make 3000 a month without a degree?

In the field of embedded machine learning, entry-level roles such as remote data annotators, AI support specialists, or freelance machine learning assistants can earn around $3,000 per month without a degree, especially with relevant skills in programming, data handling, and familiarity with tools like Python or TensorFlow. These positions often require self-learning, online certifications, or prior experience working with embedded systems and AI models remotely.
More about From Home Embedded Machine Learning jobs
What cities are hiring for From Home Embedded Machine Learning jobs? Cities with the most From Home Embedded Machine Learning job openings:
What are the most commonly searched types of Embedded Machine Learning jobs? The most popular types of Embedded Machine Learning jobs are:
What states have the most From Home Embedded Machine Learning jobs? States with the most job openings for From Home Embedded Machine Learning jobs include:
What job categories do people searching From Home Embedded Machine Learning jobs look for? The top searched job categories for From Home Embedded Machine Learning jobs are:
From Home Embedded Machine Learning jobs near you
Infographic showing various From Home Embedded Machine Learning job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

MORSE Corp

Seattle, WA • On-site

Other

Posted 26 days ago

Job description

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE's current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 
  • Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  
  • Use MLOps tools for efficient experiment tracking, data management, and reproducibility 
  • Write robust, efficient, and maintainable code 
  • Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 
  • Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 
  • Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 
  • Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 
  • Proven experience testing and validating the performance of AI technologies in real-world applications 
  • Proficiency in Python 
  • Experience with cloud platforms (AWS and Azure) 
  • Experience with Docker 
  • Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 
  • Exceptional communication skills and the ability to work well with customers 
  • Understanding of Department of Defense requirements and standards is a plus 

Apply