MACHINE LEARNING ENGINEER at H. Lee Moffitt Cancer Center – Tampa, Florida

Join the Rasool Lab within Moffitt Cancer Center & Research Institute to build trustworthy, clinically grounded AI that improves cancer research and care. The Machine Learning Engineer will develop end-to-end machine learning systems, especially domain-adapted speech and language pipelines, to support oncology workflows and research studies. Projects include robust ASR in noisy clinical settings, speaker diarization and long-form transcription, privacy-aware modeling (including federated learning), and NLP/LLM-based information extraction from unstructured clinical text, which is often in multimodal settings spanning radiology, pathology, molecular data, EHRs, and cancer registry data.

Position Highlights:

• Opportunity to work in a world-class research environment focused on applied machine learning and AI for healthcare and biomedical domains, with an emphasis on trustworthy multimodal AI.
• Strong collaboration with interdisciplinary teams (researchers, clinicians, and data scientists), leveraging state-of-the-art computational infrastructure, and opportunities to contribute to impactful publications and open research software.
• Exposure to cutting-edge themes, including multimodal learning, federated learning, and LLM-enabled radiology/pathology informatics.

The Ideal Candidate:

• Expertise in Automated Speech Recognition (ASR): Proven experience building, adapting, or optimizing ASR systems in domain-specific, noisy, or medical/clinical environments, with comfort with evaluation and error analysis for real-world audio.
• Strong ML & Deep Learning background: Hands-on experience with modern ML frameworks (e.g., PyTorch/TensorFlow) and practical experience with Transformer models, LLMs, or generative AI in applied settings.
• Solid foundation in NLP: Skilled in text representation, sequence modeling, and applying NLP to unstructured, domain-specific datasets (clinical notes, reports, transcripts).
• Federated / privacy-preserving learning exposure: Understanding of distributed ML systems and privacy-aware approaches for sensitive or regulated data.
• Healthcare/medical data familiarity: Experience with speech, text, EHR-derived data, and/or multimodal biomedical datasets, comfort working with clinical stakeholders and study constraints.
• Software engineering rigor (highly valued): Writes maintainable, tested, well-documented code, with experience in version control, reproducible pipelines, and collaborative development.

Responsibilities:

• Support principal investigators through the development of machine learning and deep learning software for cancer research, from prototyping to robust, reusable pipelines.
• Collaborate with investigators and multi-institutional consortia on research software planning and implementation, including privacy-aware and cross-site workflows when needed.
• Design, develop, and maintain machine and deep learning software for oncology research applications, with a focus on ASR/NLP systems and multimodal AI projects.
• Build evaluation and monitoring approaches (data quality checks, performance metrics, failure-mode analysis) to keep models reliable in clinical-like conditions.

Credentials and Qualifications:

• Minimum of a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field and at least two (2) years of software development/machine learning engineering experience.
  • A Master’s degree in Electrical Engineering, Computer Science, or a closely related field is preferred.
• Demonstrated experience implementing ML systems in Python (and/or similar languages) with strong software engineering practices (testing, documentation, reproducibility).

Interested applicants should attach a cover letter summarizing their research training and accomplishments, along with a current CV listing recent publications, to Dr. Rasool at ghulam.rasool@moffitt.org.

Moffitt Cancer Center is an NCI-designated comprehensive Cancer Center in Tampa, Florida. Tampa is an ideal choice for those seeking opportunities in a rapidly growing metropolitan city. With its vibrant economy and diverse culture, Tampa Bay offers a unique blend of urban sophistication and natural beauty. Join the many who have already discovered what makes Tampa one of the fastest-growing metropolitan cities in the US.

Moffitt Team Members:

• Eligible for an annual Team Member Incentive
• Eligible for an annual Team Member Merit Increase
• Have an Inclusive Benefits package - Health, Financial, & Lifestyle coverage

If you're driven to build rigorous, trustworthy AI that advances cancer research, we welcome your expertise. Bring your machine learning skills, engineering discipline, and passion for impactful innovation—there’s a place for you in our mission.