ZipRecruiter

Log In

1

Night Healthcare Machine Learning Jobs (NOW HIRING)

Accompany Health

Senior Machine Learning Engineer

$175K - $200K/yr

A primary, behavioral, and social care provider, Accompany Health walks alongside patients for ... night, year after year. We focus on the health outcomes most important to our patients to make it ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... A robust healthcare package that includes medical, dental & vision benefits, short-term and ...

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Health, dental, and mental health benefits * Hybrid work in Toronto and NYC offices * Competitive ...

DocuSign

Machine Learning Engineer

Seattle, WA

Machine Learning Engineer As a Machine Learning Engineer on the AI Platform team, you will design ... health benefits plans, retirement plans, learning and development, and compassionate care leave.

Hang

Machine Learning Engineer

New York, NY · On-site +1

This person will implement and develop machine learning models to enhance our platform ... Top-tier health, vision, and dental insurance, including plans with $0 employee cost. * Unlimited ...

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 ...

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.

Coin Flow

Machine Learning Engineer

Chicago, IL

$160K - $220K/yr

Define, own, and evolve core metrics across platform health, performance, and risk * Explore ... Strong foundation in machine learning, statistics, and analytical problem solving * Experience ...

Spotify

Machine Learning Engineer

Manhattan, NY · On-site +1

$170K - $212K/yr

Machine Learning Engineer The Music Promotion team is building products that allow creators to ... The benefits available for this position include health insurance, six month paid parental leave ...

Steampunk

Machine Learning Engineer

Mclean, VA · On-site

$115K - $150K/yr

We are looking for a more than just a "Machine Learning Engineer", but a technologist with ... Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are ...

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... Comprehensive benefits package including health, dental, and vision insurance. * Opportunity to ...

Velo3D

Machine Learning Engineer

Fremont, CA

$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.

next page

Showing results 1-20

All JobsHealthcare Machine Learning JobsNight Healthcare Machine Learning Jobs

Night Healthcare Machine Learning information

See salary details

$6

$30

$52

How much do night healthcare machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for night healthcare machine learning in the United States is $30.01, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $40.87 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Healthcare Machine Learning jobs? The most popular types of Healthcare Machine Learning jobs are:
Night Healthcare Machine Learning jobs near you

Senior Machine Learning Engineer

Accompany Health

Remote

$175K - $200K/yr

Full-time

Posted 18 days ago

Job description

Accompany Health is on a mission to give patients with complex needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider, Accompany Health walks alongside patients for their entire care journey, offering at-home and virtual care, as well as 24/7 support. Partnering with innovative payors, Accompany Health is powered by remarkable care teams, elegant technology, and a commitment to evidence-based practice.
We build long-term relationships with our patients so they know, without question, that our team is here for them day or night, year after year. We focus on the health outcomes most important to our patients to make it clear that they lead the way.
To achieve our mission, we collaborate with community-based organizations, local providers, and health plans. Led by our empathetic care teams, guided by proven care models, and powered by our own technology, we deliver a level of service that our communities rightfully deserve but rarely receive.
While our headquarters is in Bethesda, MD, our teams are distributed across the country. If you're eager to make a tangible difference in people's lives, to help correct long-standing disparities in health care, join us.
About the role:
As a Senior Machine Learning Engineer for Accompany Health, you will help us transform healthcare through AI.
  • Mission-critical, be part of our growing team (and company).
  • Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choices
  • Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience
  • Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt

Responsibilities will include:
Technical Leadership
  • Drive AI initiatives and collaborate with teams to leverage data effectively through model development and evaluation
  • Design and implement scalable Machine Learning infrastructure and solutions, ensuring reliability and performance
  • Help establish data engineering best practices and promote standards that enhance data accessibility across teams

Data Strategy & Architecture
  • Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics
  • Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equity
  • Assemble large, complex data sets that address functional and strategic requirements

Collaboration & Enablement
  • Partner with other teams such as; Executive, Product, Clinical, Data, and Design
  • Identify, design, and implement process improvements to enhance efficiency and scalability
  • Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

Quality & Innovation
  • Develop efficient, reliable AI pipelines with strong monitoring and observability
  • Navigate and optimize our data ecosystem to drive meaningful insights
  • Design and implement comprehensive evaluation frameworks and benchmarks to rigorously assess model performance, accuracy and reliability

What makes you a fit for the team:
  • Your entrepreneurial mindset and ability to articulate complex technical ideas will be essential as you collaborate across our remote team to solve novel problems at the intersection of AI and compassionate care delivery

Desired skills and experience:
Required
  • 5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOps
  • Graduate degree in Computer Science, Statistics, or related quantitative field
  • Strong proficiency in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications
  • Developing and maintaining ML pipelines for model training, evaluation, deployment (experience with tools like AWS Sagemaker or Bedrock is preferred)
  • Healthcare experience is valuable but not required

You have hands-on experience in:
  • Developing and implementing modern LLM models and transformers and deploying ML models in a production environment
  • Designing and implementing best practices for model versioning, experimentation, and reproducibility
  • Continuously improving our ML infrastructure for stability, scalability, observability, and security
  • Developing internal tooling and libraries to enhance ML workflow efficiency

$175,000 - $200,000 a year
The base salary range for this full-time position is $175,000-$200,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Our talent team can share more about the specific salary range for your preferred location during the hiring process.
#LI-Remote
#LI-JL1
For Patient Facing Roles
To keep our patients, communities and each other safe, you'll be required to comply with Accompany Health's medical clearance requirements, including completing a TB screen and providing proof of immunity or vaccination for certain conditions. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.
We embrace diversity and believe it creates a healthier atmosphere: Accompany Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
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.

Apply