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. Responsibilities This is a full-time remote position within the United States. Incumbent must live within the United States, preferably within travel distance to Mayo Clinic’s Arizona campus. The Mayo Clinic Cloud AI team is seeking a highly motivated, experienced Software Engineer to join the team. In this role you will build, deploy, and operate AI and Machine Learning solutions derived from Mayo Clinic’s AI Innovation Hub. Individuals with experience in AI/ML with demonstrated skill implementing scalable software on Google Cloud Platform are strongly desired. The Software Engineer will design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks. Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase. They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients. Works closely with the Product Owners, Product Managers, Architects to translate requirements into code. Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning. Participate in DevOps, Agile, continuous development and integration frameworks. Programming in high-level languages such as Go, Python, Java etc. Work on deployment automation/configuration management with tools including but not limited to ADO, Puppet, Chef or Ansible or Azure Pipelines, CloudFormation, Terraform following a DevOps model. Ensure all appropriate documentation of processes and source code is created and maintained. Communicate effectively with peers, leaders, and customers throughout the organization. Participate in expert level troubleshooting and resolve problems through root cause analysis, data and system investigation. Continues to build knowledge of the organization, processes and customers. Performs a range of mainly straightforward assignments. Uses prescribed guidelines or policies to analyze and resolve problems. Receives a moderate level of guidance and direction. 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. Contribute to developing new AI methods and technologies (Generative AI) that can advance the state-of-the-art in healthcare AI. Qualifications Bachelor’s Degree in Computer Science/Engineering or related field; Or an Associates’ degree in Computer Science/Engineering or related field with an additional 2 years of experience as described below. Have working knowledge and experience of Software Engineering with a minimum of internships and a minimum of 1 yr. of experience, or 2yrs of experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.). 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: Ability to use a wide variety of open-source technologies and cloud-based services. Experience with Google and Azure cloud environments Experience in databases, analytics, big data systems or business intelligence products Experience with building high-performance, highly available and scalable distributed systems. Experience developing software for healthcare related industries. Experience applying software solutions in production environments, highlighting an understanding of technology landscapes. Proficiency in communicating complex technical concepts to non-technical stakeholders. Working knowledge of cloud infrastructure and software development tools. Experience working with large, complex, and heterogeneous data sets, preferably in healthcare. Familiarity with AI/ML techniques and frameworks. Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. Strong curiosity in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with familiarity with tools like Python, TensorFlow, PyTorch, sci-kit-learn and Keras. Familiarity with the healthcare domain, including clinical workflows, electronic health records, medical terminologies, and industry standards. Familiarity with systems or quality engineering best practices. Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorship now, or in the future (for example, be a U.S. Citizen, national, or permanent resident, refugee, or asylee). Also, Mayo Clinic does not participate in the F-1 STEM OPT extension program. This position will accept applications until 06/24/2024. This deadline may be extended if the necessary candidate pool is not met by this date. Exemption Status Exempt Compensation Detail $93,204.80 – $137,030.40 / year Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday – Friday; 8:00 am – 5:00 pm Weekend Schedule Rotating on-call schedule 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 Miranda Grabner Equal opportunity 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.
Go Agile GenAI CI/CD puppet Artificial intelligence (AI) Python Terraform Data Engineering azure-pipelines ado Chef Infra remote work DevOps Google Cloud Platform (GCP) MLOps amazon-cloudformation Machine Learning Java TensorFlow keras Ansible PyTorch Software Engineer