Machine Learning Research Engineer, Health AI
Description For Machine Learning Research Engineer, Health AI
Google's Health AI team is seeking a Machine Learning Research Engineer to join their innovative healthcare initiatives in Bengaluru, India. This role sits at the intersection of cutting-edge AI research and healthcare applications, focusing on advancing foundational ML capabilities and building transformative healthcare solutions. The position offers the unique opportunity to work on multimodal healthcare data, develop breakthrough capabilities, and contribute to scientific publications while collaborating with a multidisciplinary team of experts.
The role combines software engineering expertise with machine learning research, requiring both technical proficiency and research acumen. You'll be part of Health AI's mission to catalyze the adoption of human-centered AI in healthcare and medicine, working on projects that span from personalized medicine to expanding healthcare access for underserved populations.
As a Machine Learning Research Engineer, you'll be embedded in a team that values research contributions while focusing on practical applications. You'll have the opportunity to work with state-of-the-art technologies including JAX, TensorFlow, and PyTorch, while collaborating with internal teams and external stakeholders such as clinicians and regulatory advisors.
The position offers the excitement of working at the forefront of AI in healthcare, with the backing of Google's resources and research community. You'll contribute to projects that have the potential to make significant impacts in healthcare delivery, while maintaining active engagement with the broader research community through publications and collaborations with universities.
This role is ideal for someone who combines strong software engineering fundamentals with machine learning expertise and a passion for healthcare applications. You'll be part of a team working to realize the future of personalized medicine, improve healthcare quality and consistency, and create learning healthcare systems that can benefit populations worldwide.
Responsibilities For Machine Learning Research Engineer, Health AI
- Innovate, implement and evaluate machine learning algorithms over multimodal healthcare data
- Author publications of novel research in leading scientific journals and conferences
- Design, implement and deliver complex pieces of research and infrastructure as part of a multi-disciplinary team
- Manipulate and evaluate large and complex medical datasets
- Work with a variety of internal and external stakeholders, including Product Managers, Clinicians, UX researchers and Regulatory Advisors
Requirements For Machine Learning Research Engineer, Health AI
- Bachelor's degree or equivalent practical experience
- 2 years of experience with software engineering in one or more programming languages, or 1 year of experience with an advanced degree
- 2 years of experience with data structures or algorithms
- Machine learning experience
- One or more research publication submissions for conferences, journals, or public repositories
