--- title: 'Staff Machine Learning Engineer at MCG Health' canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-mcg-health-remote-493wypsnp1e5' type: 'job' last_seen: '2026-11-07' --- # Staff Machine Learning Engineer at MCG Health - **Company:** MCG Health - **Location:** Remote - **Work type:** remote - **Posted:** 2026-11-05 - **Last confirmed live:** 2026-11-07 - **Apply:** https://job-boards.greenhouse.io/mcghealth/jobs/8932319002 ## Job description 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. ## About MCG Health ## Company Overview - **One-liner**: MCG Health provides evidence-based clinical guidelines and AI-powered software solutions to help healthcare professionals make confident, accurate decisions to improve patient care and operational efficiency. - **Entity Type**: Private (Subsidiary of Hearst Health) - **Headquarters**: Seattle, Washington, USA - **Founded**: 1986 (as Milliman Care Guidelines; acquired by Hearst in 2012) - **Founders**: Not publicly available (originally a division of Milliman) ## Core Business - **Primary industry**: Healthcare IT / Clinical Decision Support - **Target customers**: B2B – Hospitals, health plans, government agencies (state & federal), workers’ compensation groups, and third-party administrators. - **Mission**: We lead the healthcare community to deliver patient-focused care. - **Vision**: Everyone gets the right care. ## Products & Services - **Evidence-Based Care Guidelines**: The company’s core product – unbiased, annually updated clinical guidelines covering medical necessity, level of care, and length of stay. Developed through rigorous review of current scientific literature. - **MCG Software Platform**: A technology suite that integrates with EHRs and medical management systems to automate utilization management, case management, and prior authorization workflows. - **AI Solutions**: Artificial intelligence tools designed to improve efficiency in case management and authorization processes, built on top of MCG’s clinical guidelines. - **ODG by MCG**: Evidence-based guidelines for workers’ compensation and disability management. - **Analytics & Reporting**: Robust data analytics to help clients track and improve clinical and financial outcomes. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held by Hearst Health). - **Key Metric**: MCG’s care guidance reaches over **200 million people** annually. Licensed by **thousands of hospitals**, a **majority of U.S. health plans**, and many state/federal government agencies. - **Notable Investors/Partners**: Hearst Health (parent company), Milliman (strategic partner). - **Growth Signals**: - Named one of **Glassdoor’s Best Places to Work** (2024). - Named one of **Newsweek’s America’s Greatest Midsize Workplaces in Health Care** (2026). - Becker’s Hospital Review **150 Top Places to Work in Healthcare** (2024, 2018). - President Jon Shreve named one of **Glassdoor’s Top 50 CEOs** (2018). - Recognized with **KLAS Points of Light Award** (2023) and **HL7 Da Vinci Community Champion** awards (2021, 2022, 2023). ## Competitive Advantages - **Unbiased, independent ownership**: As part of Hearst Health and not owned by a payer or provider, MCG can provide an unbiased review of clinical evidence, free from specialty group or payer/provider bias. - **Trusted “Source of Truth”**: Widely recognized as the industry standard for clinical decision support, used by a majority of U.S. health plans and thousands of hospitals. - **Combination of Guidelines + AI**: While competitors focus solely on AI automation, MCG uniquely combines clinically sound evidence-based guidelines with AI to increase both efficiency and effectiveness. - **Deep integration**: Solutions can integrate with virtually any EHR or medical management system, creating a seamless workflow. ## Strategic Focus - **Unifying AI and evidence-based guidelines**: MCG believes AI can improve efficiency but that there will always be a need for clinically sound guidelines. Their strategy is to unify both approaches. - **Expanding government and payer reach**: Continued focus on serving state/federal health programs, RACs, MACs, and quality improvement organizations. - **Ethical AI development**: Published a Data Ethics Statement and guiding principles on the use of data and artificial intelligence to mitigate bias. - **Interoperability**: Active participation in HL7 Da Vinci Community to drive standards-based data exchange. ## Why Work Here - **Culture**: MCG emphasizes a culture of **Growth, Belonging, and Collaboration**. They value diverse viewpoints, curiosity, accountability, and helping each other succeed. - **Remote/Hybrid Policy**: Highly flexible **remote and hybrid** working environment. The Seattle office is designed as a “collaboration and innovation” space. Physical offices in **Seattle (HQ)**, **San Diego**, and **Hartford**. - **Perks & Benefits**: - Medical/dental/vision insurance, telemedicine, and pet insurance. - 401(k) with company match. - 8 weeks paid parental leave + 10 weeks paid bonding leave. - 10 paid personal days + 15 days accrued PTO annually + 13 paid holidays. - Tuition reimbursement, e-learning platforms, and monthly lunch/learn series. - **Impact**: Employees are driven by the mission to make a positive impact on the healthcare industry and the lives of patients. - **Recognition**: Consistently ranked as a top workplace by Glassdoor, Newsweek, and Becker’s Hospital Review. ## Sources 1. [MCG Health - Official Website](https://www.mcg.com/) 2. [MCG Health - About Page](https://www.mcg.com/about/) 3. [MCG Health - Careers Page](https://www.mcg.com/about/careers/) 4. [MCG Health - Culture Page](https://www.mcg.com/about/careers/our-culture/) 5. 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