Manager of Machine Learning Research Science

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Requirements:

• 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.

Responsibilities:

• 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.