Machine Learning Engineer II/III (Applied Research & Model Development)

About the role

We are seeking Machine Learning Engineers (Applied Research & Model Development) to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. You will work closely with teams across biomedical data science, product development, translational research, MLOps, and platform engineering to develop and deploy machine learning models for our AI products and services.

Responsibilities

• Design, develop, and deploy machine learning models for research and product development projects.
• Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions.
• Contribute to experimental design and analysis, including ideation, documentation, and reporting.
• Participate in knowledge sharing and team initiatives (e.g., design reviews, journal clubs, ML best practices, governance activities).
• Improve ML pipelines and infrastructure in partnership with MLOps and platform teams.
• Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions.

Requirements

• Mle I: Contribute to projects with guidance, implement models, and learn best practices.
• Mle II: Independently deliver on projects, improve processes, and mentor junior engineers.
• Mle III: Lead initiatives end-to-end, set technical direction, and identify new opportunities with clear business and scientific impact.

Qualifications

• MLE I: Master’s degree plus 2–4 years of experience, or Ph.D. with 0–2 years of experience. Proven track record of developing and deploying machine learning models into production or research applications. Strong proficiency in Python, ML frameworks, and data pipeline development. Demonstrated ability to work independently on projects, contribute to experimental design, and improve ML workflows. Strong communication skills and ability to collaborate across scientific and engineering teams.
• MLE II: Master’s degree plus 5+ years of experience, or Ph.D. with 3+ years of experience. Deep expertise in ML, computer vision, or biomedical AI, with a history of high-impact contributions (publications, open-source, or products). Mastery of ML frameworks, software engineering best practices, and deployment pipelines. Ability to lead end-to-end projects, mentor others, and set technical direction. Experience articulating technical improvements into business or clinical impact. Strong record of contributions to scientific strategy (abstracts, manuscripts, conference presentations).
• MLE III: Master’s degree plus 5+ years of experience, or Ph.D. with 3+ years of experience. Deep expertise in ML, computer vision, or biomedical AI, with a history of high-impact contributions (publications, open-source, or products). Mastery of ML frameworks, software engineering best practices, and deployment pipelines. Ability to lead end-to-end projects, mentor others, and set technical direction. Experience articulating technical improvements into business or clinical impact. Strong record of contributions to scientific strategy (abstracts, manuscripts, conference presentations).

Skills

• Strong proficiency in Python, ML frameworks, and data pipeline development.
• Proven track record of developing and deploying machine learning models into production or research applications.
• Deep expertise in ML, computer vision, or biomedical AI.
• Mastery of ML frameworks, software engineering best practices, and deployment pipelines.
• Ability to lead end-to-end projects, mentor others, and set technical direction.
• Experience articulating technical improvements into business or clinical impact.
• Strong record of contributions to scientific strategy (abstracts, manuscripts, conference presentations).

Benefits

• The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles.
• Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
• Annual Pay Range: Machine Learning Engineer II: $107,250 - $164,450, Machine Learning Engineer III: $130,500 - $200,100.

Pay

• The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles.
• Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
• Annual Pay Range: Machine Learning Engineer II: $107,250 - $164,450, Machine Learning Engineer III: $130,500 - $200,100.

Schedule

• Not applicable.

Equal Opportunity Employer

We are an equal opportunity employer and dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.