Principal Machine Learning Engineer
Microsoft Redmond, WA Full-time 3/24/2026 $139.9k - $304.2k per year
Undergraduate with 5+ Years of ExperienceMaster's with 2+ Years of Experience
Approval 98.4%•Total filings 6,363•New hires 3,142•
👑 Elite Sponsor
•FY 2025Job Description
Health Futures is seeking a Principal Machine Learning Engineer to lead the design and development of machine learning models for health and life sciences applications. This hands-on role involves collaborating with interdisciplinary teams to enhance model capabilities and ensure compliance with security and regulatory standards.
Requirements
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Masters in Computer Science or related technical field AND 6+ years technical engineering experience including significant work in machine learning or applied AI
- OR equivalent experience.
- Proven track record of designing and deploying large-scale ML or MLops systems in research or product settings.
- Hands-on experience with large-scale distributed training of ML models.
- Deep expertise in ML algorithms, model optimization, and frameworks (e.g., PyTorch, TensorFlow).
- Experience with one or more of: optimizing data mixes, mid-training, post-training, model merging, or model distillation.
- Familiarity with security and compliance standards for enterprise and health data.
- Demonstrated ability to communicate effectively and solve problems in collaborative, research-driven environment.
Responsibilities
- Lead the design and development of machine learning models and systems for health and life sciences applications, ensuring scalability and reliability.
- Define technical strategy and architecture for ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
- Collaborate with interdisciplinary teams (including scientists, researchers, and software engineers) to envision and develop AI-augmented scientific systems.
- Mentor engineers and researchers, promoting best practices in ML development, experimentation, and responsible AI principles.
- Ensure security, privacy, and regulatory compliance across ML workflows and data handling.
Benefits
- Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.
Is this job posting expired or no longer available?