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Lead Software Engineer - AI/ML

Job ID 347119 Date posted 11/21/2024 Job Expiration Date 12/14/2024
  • Rochester, MN
  • Full Time
  • Remote: Yes
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Overview

Be challenged to deliver innovative solutions that will change health care.

Mayo Clinic’s tech culture is rooted in passion for technology, embraces innovative thinking and strives for high performance. Our teams drive change in health care through comprehensive connected health and digital transformation strategies.

Some examples of our major initiatives are:

  • Utilizing artificial intelligence and machine learning principles to develop next generation patient centric care systems
  • Transforming the practice by applying data science techniques to discover new approaches to health care delivery
  • Leveraging Enterprise Architecture to construct integration centricity, promote data liquidity, and provide innovation support

This transformation creates, connects and applies integrated knowledge to deliver the best health care, health guidance and health information to patients, customers, partners, providers, employees anywhere and anytime so the needs of the patient come first.

Job Description

CityRochester

StateMN

RemoteYES

DepartmentInformation Technology

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSAs and FSAs for medical expenses.
  • Retirement: Competitive retirement package to secure your future.


Responsibilities

It is an exciting time at Mayo Clinic, as we are building the most trusted generative AI and LLM-based solutions to empower our staff, improve our practice and transform healthcare. To accelerate our generative AI strategy, we are forming a cross functional team of technical experts. This team will be responsible for:

  • Supporting the Generative AI Program’s Request for Application (RFA) Process, its entrants and winners
  • Providing temporary tiger-team efforts to accelerate key initiatives
  • Expanding the organization’s understanding of LLM technology through:
    • Development of best practices, knowledge assets, and code examples to accelerate the efforts of others
    • Execution of technical proofs of concept and exploration
  • Providing consultations, presentations, and sharing of knowledge across Mayo Clinic to technical and non-technical audiences
  • Providing guidance across the Generative AI program workstreams as technical experts

Position Responsibilities:

Provide technical guidance, mentorship, and support to a team of ML/MLOps engineers, fostering a collaborative and high-performing environment. Lead the design and architecture of complex AI/ML systems, ensuring scalability, maintainability, and efficiency, specifically for healthcare applications. Oversee the development, training, and deployment of large machine learning models, including deep learning, NLP, and computer vision models, ensuring they meet performance and quality standards in clinical settings. Guide the team in fine-tuning pre-trained models and applying various techniques to optimize model performance for specific healthcare applications. Stay abreast of the latest advancements in AI/ML, explore new technologies and techniques (including LLMs), and contribute to the research and development efforts within healthcare AI. Collaborate closely with data scientists, software engineers, project/program manager, product managers, and clinical stakeholders to define project requirements and deliver impactful AI solutions that integrate smoothly into clinical workflows. Define and implement best practices for AI/ML development, deployment, and monitoring, ensuring code quality, maintainability, and adherence to regulatory standards within the healthcare industry. Play a key role in shaping the organization's AI/ML technical strategy, identifying opportunities, and driving innovation in the field of healthcare AI.

A Codility Test may be required as part of the candidate selection process.

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



Qualifications

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience; OR an Associate’s degree in Computer/Science/Engineering or related field with 8 years of experience.  
Proven track record of leading ML teams, with size larger than 4 engineers, to successfully design, develop, deploy AI/ML solutions in production environments, preferably within the healthcare industry. 
Have 4+ years of hands-on experiences in Python and experience with other relevant languages like R or Java.
Deep understanding of various ML approaches, including deep learning, natural language processing, and computer vision. 
Demonstrated technical leadership in managing complex projects, to navigate intricate project requirements and deliver successful outcomes.
Project experience with large and complex datasets, structured and non-structured, and extract meaningful insights.
Project experience with TensorFlow, PyTorch, scikit-learn, or other relevant ML frameworks. 
Project experiences with at least one cloud AI/ML platforms  (e.g. GCP Vertex AI, AWS SageMaker, Azure ML)
Practitioner of software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. 
Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders, including clinical staff.
Experience with Agile software development techniques.

Preferred qualifications for this position include:

Masters or PhD in Machine Learning, Artificial Intelligent or Computer Science related fields. 
Experience applying AI and machine learning in production healthcare environments.
Experience implementing MLOps capabilities at enterprise level.
Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
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, with the ability to adapt these effectively to different project scenarios.
Demonstrated experience leading technical teams in a regulated environment.



Exemption Status

Exempt

Compensation Detail

$141,689.60 - $205,420.80 / year

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Monday - Friday, 8am - 5pm

Weekend Schedule

As needed

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

Affirmative Action and Equal Opportunity Employer

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.


Recruiter

Ted Keefe
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Career Path

Discover unlimited opportunities. Your IT career may start as a Help Desk Specialist or Work Station Technician, an intern, or entry-level Analyst/Programmer and develop into a mid- or senior-level technical position. You may choose to grow laterally as a technical expert, learning and supporting many different aspects of IT services. Or you may choose to become part of the leadership team.

  • Applications
  • Business Relationship Management
  • Enterprise Infrastructure
  • Enterprise Architecture
  • Information
    Security
  • Management
  • Project Management and Systems Analysis
  • Quality
    Assurance

The Life Changers

  • When you choose an IT career with Mayo Clinic you will have an opportunity to engage with new and innovative solutions which will improve quality of life and patient outcomes. You will partner with brilliant Physicians and Scientists to help drive translational medicine in a fast-paced environment where creativity, energy, and dedication will result in success.”

    Marie Koctecki
    Senior Manager, IT Service Delivery
  • Over the span of my career, I have worked in multiple divisions across IT and have now advanced to a Service Delivery Manager role, managing a Project Management Office (PMO). The opportunities within the department of IT are vast. I have been able to gain my Project Management Professional (PMP) certification as well as my Certified Scrum Master (CSM) certification while at Mayo Clinic.”

    Betty Hutchins
    Manager, IT Service Delivery
  • I appreciate the breadth of career paths within IT and the ability to branch out and diversify my professional expertise while remaining with Mayo Clinic. The diverse backgrounds and depth of expertise of my coworkers is an attribute of Mayo’s unique culture; I enjoy the opportunity to work with so many world-renowned experts and thought leaders across a wide array of professions.”

    Samanthie Epps
    Manager, IT Speciality Systems

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Equal opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, or disability status. Learn more about "EEO is the Law." Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

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