Manager of Machine Learning Research Science

Manager of Machine Learning Research Science

Role

As a Manager of Machine Learning Research Science, you will lead and mentor a team of highly skilled machine learning research scientists, driving SmarterDx’s most ambitious AI initiatives. Your role will focus on fostering innovation, setting strategic research priorities, and ensuring your team’s work aligns with the company's mission and business goals. Collaborating closely with clinical, engineering, and product teams, you will oversee the development, deployment, and evaluation of state-of-the-art machine learning solutions that address high-impact challenges in healthcare AI.

You will act as both a technical and strategic leader, shaping the MLRS team’s roadmap, guiding research methodologies, and ensuring high-quality execution of long-term, high-risk, high-reward projects. In addition, you’ll contribute to SmarterDx’s position as a thought leader in AI/ML through publications, presentations, and external engagement.

SmarterDx builds clinical AI that empowers hospitals to achieve 100% chart accuracy for revenue integrity. Our solution helps hospitals tell the most accurate and complete story of the patient and the care that was delivered, which helps them recover millions in earned revenue and improve quality of care scores. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers. 

**This role is fully remote within the US**

What You’ll Do

• Manage and mentor a team of machine learning research scientists, fostering a culture of collaboration, innovation, and technical excellence.
• Conduct regular 1:1s and team meetings to provide guidance, feedback, and support for team members' career growth.
• Define and execute the MLRS team’s research roadmap, prioritizing long-term, high-impact projects aligned with SmarterDx’s AI vision.
• Oversee the design, development, and rigorous evaluation of innovative machine learning algorithms, ensuring high-quality research outputs.
• Partner with cross-functional teams across data science, engineering and product to ensure seamless integration of research outputs into production systems.
• Lead hiring efforts to grow the MLRS team with top-tier talent.
• Publish research findings in top-tier conferences and journals, and represent SmarterDx at conferences and industry events.
• Stay up-to-date and share insights on emerging AI/ML trends, influencing the broader research community and internal strategy.

What You Bring

• Proven ability to lead and manage high-performing teams of machine learning researchers, fostering their growth and delivering impactful results.
• Deep technical expertise in modern machine learning architectures and training methodologies (e.g., transformers, FlashAttention, SFT, LoRA).
• Extensive experience designing, implementing, and deploying state-of-the-art ML solutions in frameworks such as PyTorch or JAX, including proficiency with multi-GPU training for large-scale model development.
• Strong track record of high-quality research, demonstrated through first-author publications in top-tier conferences or journals.
• Ability to define and execute a research agenda that aligns with business objectives and drives innovation.
• Ph.D. or Master’s degree (with 7+ years experience) in Computer Science, Biomedical Informatics, Mathematics, Electrical Engineering, or a related field with a focus on AI/ML.
• Exceptional communication and collaboration skills, as evidenced by technical presentations, published papers, or leadership in cross-functional teams.

Nice To Haves

• Experience managing a team at a fast-growing startup
• Familiarity with healthcare data and the US health ecosystem (e.g., work experience in a digital health start-up, medical training)
• MLOps expertise (i.e., having deployed models into production)
• Experience training, evaluating, and deploying large language models
• Experience with our tech stack

Our Tech Stack

• PyTorch/JAX for modeling
• Snowflake/Postgres for data
• AWS for compute
• GitHub for version control
• MLflow for tracking

Compensation

$225 to 300k base + equity