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Staff Machine Learning Engineer

Pay
$154,000–216,000/yearAnnual period assumed — pay source
Demonstrated ability to operate effectively in ambiguous, fast-moving environments while balancing technical rigor with delivery Pay Range: $154,000 - $216,000 Other compensation: Bonus Eligible
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Work setting
Remote — work setting source
Listed location: Remote
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Employment
Not stated

What you’ll work on

Full posting
  • Design and build ML tooling for automated prompt tuning and content feedback loops

  • Build scalable experimentation and evaluation infrastructure for comparing models and prompts

  • Turn ambiguous clinical AI requirements into technical approaches and implementation plans

  • Partner with data science, software, and product teams on model improvement solutions

  • Set reusable engineering patterns and standards for ML experimentation

From the employer’s posting
Design, build, and evolve ML engineering tooling that accelerates continuous improvement of MCG’s AI-powered clinical solutions, including automated prompt tuning, content feedback loops, and model benchmarking
Develop scalable experimentation and evaluation infrastructure that enables rapid, reproducible comparison and optimization of models, prompts, and AI approaches.
Translate ambiguous ML and clinical AI requirements into technical approaches, defining appropriate methodologies, interfaces, and implementation plans.
Partner with Data Science, Clinical Prompt Engineering, Software Engineering, and Product teams to translate model improvement opportunities into reliable technical solutions.
Establish reusable engineering patterns, standards, and best practices that improve the quality, efficiency, and scalability of ML experimentation and continuous improvement.

What you’ll bring

All qualifications

Preferred experience

  • Experience developing automated prompt optimization or prompt evaluation systems
  • Experience building model benchmarking frameworks or evaluation infrastructure for large language models
  • Experience developing feedback loops that incorporate human or expert evaluation into ML systems
  • Experience with model observability, experimentation platforms, or ML operations
Qualification wording
Experience developing automated prompt optimization or prompt evaluation systems
Experience building model benchmarking frameworks or evaluation infrastructure for large language models
Experience developing feedback loops that incorporate human or expert evaluation into ML systems
Experience with model observability, experimentation platforms, or ML operations
Education & alternatives
What We're Looking For: - Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience. - At least 6 years of relevant professional experience in machine learning engineering, software engineering, data science engineering, or a closely related technical discipline.
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Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 71.

From 4,626 similar postings that came down. Coming down is not always a hire.

MCG Health is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

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  • Python
Where the posting names them
- Experience designing and implementing production-quality machine learning systems, tooling, or infrastructure is required. - Experience with Python and modern software engineering practices. - Demonstrated ability to independently solve complex technical problems and determine effective approaches within an ambiguous problem space.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 870.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.

The Staff Machine Learning Engineer is a senior individual contributor responsible for building and evolving the machine learning engineering capabilities that enable continuous improvement of MCG’s AI-powered clinical solutions. The role focuses on developing tooling and infrastructure for automated prompt tuning, content feedback loops, model benchmarking, and related ML experimentation and evaluation capabilities.  Working with Data Scientists, Clinicians, Software Engineers, and Product, this role translates model-quality and operational improvement opportunities into scalable technical solutions. The Staff ML Engineer operates with significant independence, serves as a technical authority within ML engineering, and influences how MCG evaluates, improves, and operationalizes AI-enabled clinical solutions.

You Will:

  • Design, build, and evolve ML engineering tooling that accelerates continuous improvement of MCG’s AI-powered clinical solutions, including automated prompt tuning, content feedback loops, and model benchmarking.
  • Develop scalable experimentation and evaluation infrastructure that enables rapid, reproducible comparison and optimization of models, prompts, and AI approaches.
  • Partner with Data Science, Clinical Prompt Engineering, Software Engineering, and Product teams to translate model improvement opportunities into reliable technical solutions.
  • Translate ambiguous ML and clinical AI requirements into technical approaches, defining appropriate methodologies, interfaces, and implementation plans.
  • Investigate complex ML engineering problems and develop practical solutions when established approaches or frameworks are insufficient.
  • Establish reusable engineering patterns, standards, and best practices that improve the quality, efficiency, and scalability of ML experimentation and continuous improvement.
  • Provide technical guidance and mentorship to engineering and cross-functional partners, influencing outcomes through technical expertise and judgment without direct people-management responsibility.

What We're Looking For:

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
  • At least 6 years of relevant professional experience in machine learning engineering, software engineering, data science engineering, or a closely related technical discipline.
  • Experience designing and implementing production-quality machine learning systems, tooling, or infrastructure is required.
  • Experience with Python and modern software engineering practices.
  • Demonstrated ability to independently solve complex technical problems and determine effective approaches within an ambiguous problem space.
  • Demonstrated experience collaborating with Data Science, Engineering, Product, or other cross-functional technical teams.
 

Preferred Qualifications:

  • Experience developing automated prompt optimization or prompt evaluation systems
  • Experience building model benchmarking frameworks or evaluation infrastructure for large language models
  • Experience developing feedback loops that incorporate human or expert evaluation into ML systems
  • Experience with model observability, experimentation platforms, or ML operations
  • Experience developing reusable ML engineering frameworks or standards adopted across multiple team
  • Strong technical communication and collaboration skills, with the ability to influence decisions through expertise rather than positional authority
  • Demonstrated ability to operate effectively in ambiguous, fast-moving environments while balancing technical rigor with delivery

Pay Range: $154,000 - $216,000

Other compensation: Bonus Eligible

Location: Seattle Preferred 

Perks & Benefits:

💻 Remote Work/Hybrid Work

✈️ Travel expected 1–3 times per year for company-sponsored events

🩺 Medical, dental, vision, life, and disability insurance

📈 401K retirement plan; flexible spending and health savings account

🏝️ 15 days of paid time off + additional front-loaded personal days

🏖️ 14 company-recognized holidays + paid volunteer days

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave

🌈 LGBTQ+ Health Services

🐶 Pet insurance

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/

All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. 

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Note on interviews: We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative.

MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.

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Pay
Demonstrated ability to operate effectively in ambiguous, fast-moving environments while balancing technical rigor with delivery Pay Range: $154,000 - $216,000 Other compensation: Bonus Eligible
Location & working pattern

Remote

Perks & Benefits: 💻 Remote Work/Hybrid Work ✈️ Travel expected 1–3 times per year for company-sponsored events
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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