ML Research Scientist

Company Description:

HOPPR is at the forefront of innovation in medical imaging, developing the first multimodal AI foundation model. Our deep learning platform, unique for its proprietary privacy-compliant trust architecture, integrates diverse data sources with cutting-edge AI/ML development. HOPPR is co-founded by Dr. Khan Siddiqui, a visionary leader with a prolific background including founding higi, former roles at Hyperfine (NASDAQ:HYPR), and Microsoft.

Role Description:

Join HOPPR as a Machine Learning Research Scientist and play a pivotal role in shaping the future of multimodal AI in medicine. Collaborate with researchers, engineers, and clinicians to develop state-of-the-art machine learning algorithms leveraging vast amounts of unstructured imaging and text data. You’ll define and execute an ambitious research agenda, publish in leading conferences, and translate your methods to deliver innovations that transform patient care.

Key Responsibilities:

• Research, prototype, and deploy state-of-the-art machine learning algorithms for medical imaging, NLP, and multimodal tasks. 
• Define and lead an ambitious research agenda with clear, measurable milestones. 
• Collaborate with clinicians, engineers, and product teams to understand critical needs and align research priorities. 
• Share insights and breakthroughs through publications in leading conferences and journals. 
• Present your work internally to gather feedback and foster collaboration across research, engineering, and clinical teams. 
• Build and improve shared infrastructure and tools that support research and engineering initiatives. 
• Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact. 

Qualifications:

• PhD (or Master’s with 3+ years experience) in Computer Science, Electrical Engineering, Biomedical Data Science, or a related field. Senior and Principal roles considered based on experience. 
• Proven track record in medical machine learning research, as demonstrated by first-author publications in leading venues (e.g., Nature, CVPR, ACL, ICML, NeurIPS, MICCAI, IEEE, or similar). 
• Extensive experience developing and implementing state-of-the-art deep learning models using frameworks like PyTorch or Tensorflow and tools like Hugging Face. 
• Strong expertise in ML domains such as computer vision, NLP, and multimodal AI applications. 
• Familiarity with medical imaging, clinical workflows, and the healthcare industry (preferred, not required). 
• Exceptional problem-solving and analytical abilities. 
• Strong communication skills and a collaborative mindset. 

What We Offer:

• Competitive base salary + equity. 
• A key role in a fast-growing startup with immense potential. 
• Generous benefits: medical/dental/vision, 401k, PTO, and parental leave. 
• Remote first with hybrid options available at our NYC and SF Bay Area offices. 
• An innovative, collaborative, and supportive work environment. 
• Incredible teammates who inspire growth and learning. 

HOPPR is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Important Note: This opportunity is open exclusively to US citizens and permanent residents. We kindly request that recruiters and agencies refrain from contacting Dr. Khan Siddiqui or any HOPPR team members directly regarding this role. Unrequested outreach from recruiters will not be entertained or responded to. Thank you for respecting this directive and helping us maintain a focused and efficient hiring process.