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Seasonal Healthcare Machine Learning Jobs (NOW HIRING)

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions.

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$110 - $170/hr

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and ... We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA.

Plenful

Machine Learning Engineer

San Francisco, CA · On-site

Our technology empowers healthcare operators across hospital and health systems, pharmacies and ... About the Role We're looking for a Machine Learning Engineer to design, build, and deploy ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Apex Systems

Machine Learning Engineer

Pleasanton, CA · On-site

Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton ... Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee ...

Kitware

Machine Learning Engineer

Clifton Park, NY · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Kitware

NY · On-site

$85 - $125/hr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Cymertek Corporation

Machine Learning Engineer

Aurora, CO · On-site

$120 - $180/hr

Machine Learning EngineerLOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

At Counterpart Health, we are transforming healthcare and improving patient care with our ... Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

At Counterpart Health, we are transforming healthcare and improving patient care with our ... Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

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Seasonal Healthcare Machine Learning information

What is the difference between Seasonal Healthcare Machine Learning vs Healthcare Data Analyst?

AspectSeasonal Healthcare Machine LearningHealthcare Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learningDegree in Health Informatics, Data Analysis, or related field; proficiency in data analysis tools
Work EnvironmentTech-focused healthcare settings, research labs, or hospitals with AI integrationHospitals, clinics, or healthcare organizations analyzing patient data
Employer & Industry UsageHealthcare tech companies, research institutions, hospitals implementing AI modelsHealthcare providers, insurance companies, public health agencies

While both roles involve healthcare data, Seasonal Healthcare Machine Learning focuses on developing predictive models using machine learning techniques, especially for seasonal trends. Healthcare Data Analysts interpret healthcare data to inform decisions but typically do not develop complex machine learning algorithms. The roles overlap in data handling but differ in technical complexity and focus.

More about Seasonal Healthcare Machine Learning jobs

What are the most commonly searched types of Healthcare Machine Learning jobs?

The most popular types of Healthcare Machine Learning jobs are:

What job categories do people searching Seasonal Healthcare Machine Learning jobs look for?

The top searched job categories for Seasonal Healthcare Machine Learning jobs are:

Seasonal Healthcare Machine Learning jobs near you
Infographic showing various Seasonal Healthcare Machine Learning job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 64% Full Time, 15% Part Time, and 18% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer

Velo3D

Fremont, CA • On-site

$150K - $220K/yr

Full-time

Medical, Retirement

Re-posted 20 days ago

Job description

Position Overview: 

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process engineers, software engineers, and fellow ML engineers, you will develop and deploy models using image, time-series, and machine log data from advanced manufacturing systems.

Prior experience in additive manufacturing or 3D printing is not required. We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical systems, or experimental datasets, and who enjoy working closely with domain experts to deliver practical, high-impact solutions.

Responsibilities

  • Develop ML models using in-process sensor data to identify anomalies and quality issues during printing. 

  • Build and iterate on training and evaluation workflows; document experiments and results for reproducibility. 

  • Own ML experimentation end to end: Design datasets, preprocessing pipelines, and training workflows; iterate on model architectures and metrics; document experiments and results for reproducibility. 

  • Help define data collection and management: Partner with process and software teams to improve how build data is ingested, cataloged, versioned, and made available for training and evaluation. 

  • Deploy models into production: Work with print software and embedded teams to integrate validated models into production code running on printer hardware, including performance and reliability considerations. 

  • Collaborate with supporting software engineers: Hand off validated Python prototypes for production hardening, provide clear specifications and acceptance criteria, and support integration and regression testing. 

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field; advanced degree preferred. 

  • 3+ years of experience building and evaluating machine learning models in a professional setting. 

  •  Hands-on experience with computer vision or image-based ML (e.g., segmentation, classification, or anomaly detection). 

  • Strong Python skills and experience with modern ML frameworks (e.g., PyTorch). 

  • Experience designing ML pipelines: data loading, preprocessing, training, evaluation, and experiment tracking. 

  • Comfort working in a production software environment: version control, code review, testing, and cross-functional collaboration. 

  • Ability to communicate technical tradeoffs clearly to engineers and non-engineers. 

  • Strong programming skills in Python or C++. 

  • Experience organizing and working with structured and unstructured datasets. 

  • Background in a STEM or scientific discipline, with demonstrated use of ML to address substantive technical or engineering problems. 

Bonus  

  • Experience with powder bed fusion or other additive manufacturing processes. 

  • Knowledge of manufacturing data workflows, IoT sensor data, or industrial automation systems. 

  • Experience with image-based or time-series machine learning. 

  • Familiarity with model deployment in production or embedded environments. 

  • Familiarity with cloud storage and data pipelines (e.g., AWS S3, batch retrieval workflows). 

  • Experience in domains such as robotics, aerospace, materials, instrumentation, scientific computing, or other fields where ML is applied to physical or experimental data. 

About the Company:
 
Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc.
 
With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire metal AM production printer, Flow print preparation software, Assure quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation.
 
Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards.
 
Our job titles may span more than one career level. The starting base salary for this full-time position is between $150,000 and $220,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable.
 
Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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