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Temporary Medical Machine Learning Jobs (NOW HIRING)

Aquabyte

Machine Learning Engineer

Mundelein, IL

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... Medical, vision, & dental insurance * Retirement matching plan * Potential travel to Norway

Hadrian Automation

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Medical history is scattered across systems that don't communicate. Physicians have minutes to ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

Vilya

Machine Learning Engineer

Seattle, WA

$154K - $174K/yr

Vilya's ultimate goal is to solve some of the most challenging unmet medical needs that exist today ... Develop and maintain the infrastructure to support machine learning workflows for drug discovery at ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

Clifton Park, NY

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

Clifton Park, NY

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

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Temporary Medical Machine Learning information

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$164.7K

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How much do temporary medical machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for temporary medical machine learning in the United States is $164,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $268,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Medical Machine Learning jobs? The most popular types of Medical Machine Learning jobs are:
Temporary Medical Machine Learning jobs near you

Machine Learning Engineer

Aquabyte

Mundelein, IL

Full-time

Posted 25 days ago

Job description

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and cloud software.
 
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
 
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
 
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
 
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
 
The role
As a Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Required Qualifications
  • BS/MS in relevant technical degree
  • 3+ years of experience with data-science
  • Strong coding ability; strong grasp of Python, SQL
  • Strong data analytics & modeling & ML skills
  • Strong data pipeline and data management skills
  • Strong software engineering skills; knowledge of best practices, testing, and deployment
Bonus Qualifications
  • Familiarity with; snowflake, dbt, airflow, pandas
  • Experience with Docker and cloud SW development (i.e. AWS)
Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.