Senior Software Engineer - AI/ML

At Mayo Clinic, our mission is to inspire hope and promote health through integrated clinical practice, education and research. The Mayo Clinic Generative AI team building technology at that very intersection, combining our research initiatives with the latest advances in transformer-based technologies to transform medicine.

This is a full-time remote position within the United States. Mayo Clinic will not sponsor or transfer visas for this position (H1B, F1 OPT STEM).

Position Responsibilities:

• Leverage machine learning techniques such as deep learning, natural language processing, computer vision, large language models, to lead the design, development, testing and deployment of machine learning and deep learning models for healthcare applications.
• Work on the full spectrum of the AI life cycle from ideation to production.
• Leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and integrated smoothly into clinical processes.
• Collaborate with multidisciplinary teams to support the engineering and implementation of AI/ML solutions.
• Develop robust machine learning pipelines to support production processes and setting new benchmarks for safety and effectiveness in clinical settings.
• Facilitate consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.
• Contribute to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms.
• Provide mentorship, guidance, and technical leadership to junior engineers within the AI enablement team.
• Provide consultative services on areas of expertise to clinical work units or AI product teams, offering insights and strategies to address complex business problems.
• Provide training and education to healthcare staff on AI tools and technologies.
• Contribute to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI.

Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate’s degree in Computer/Science/Engineering or related field with 7 years of experience. 

Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields.
Demonstrated problem solving and time management skills. Possesses strong technical aptitude for designing and implementing software solutions. Experience with modern application development frameworks
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Deep hands-on technical expertise, excellent verbal and written communication skills. Experience with Agile software development techniques.

Preferred Qualifications for this position include:

• Ph.D or Master's degree in Computer Science/Engineering or related field.
• Experience applying AI and machine learning in production healthcare environments, highlighting an understanding of healthcare technology.
• Demonstrated leadership in managing complex projects, to navigate intricate project requirements and deliver successful outcomes.
• Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
• Demonstrated expertise in cloud infrastructure environment and software development tools.
• Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
• Skilled in AI/ML techniques and frameworks.
• Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
• Demonstrated initiative in administration, education, software development, and technical reporting.
• Mentor less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
• Strong expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn and Keras.
• Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
• Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks,