Machine Learning Data Engineer

Requisition Id15751

Overview:

The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Machine Learning Engineer position for health research projects. The research activities include HIPAA compliant research data that has been entrusted to ORNL. As such, you will have the opportunity to work on some of the most challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning.

You will work in a collaborative research and development environment focusing on designing and implementing robust and high performance applications for biomedical research. We are looking for someone who has innovative thinking to design and implement machine learning, statistical, probabilistic, or algorithmic solutions to real world problems in the healthcare and biomedical research.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

Major Duties/Responsibilities:

As a Machine Learning Data Engineer, you will be responsible for:

• Independently solving a variety of sophisticated technical problems for scientific and technical projects.

• Developing high-quality code following best practices in the community for documentation, provenance, version control, etc.

• Managing, maintaining, and refactoring ML codebases, pipelines, and workflows.

• Collaborating closely with research staff to design and implement novel ML approaches.

• Implementing scalable ML methods and workflows for high-performance computing (HPC) resources, in close collaboration with research staff and computing technical staff.

• Mobilizing and leading data analysis activities on projects with a focus on common deliverables, goals, and timelines.

• Troubleshooting data analysis issues, including implementation issues, hyper-parameter choices, and modeling decisions.

• Assisting in preparation of manuscripts and dissemination of research results in publications and conferences.

• Working on a variety of data analysis assignments in collaboration with scientists and engineers.

• Working in secure enclaves and open computing environments on a wide variety of applied areas.

• Conducting tasks independently and communicate optimally to team members and stakeholders.

• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:

• B.S. and 5+ years of relevant experience, or an M.S. and 4+ years of relevant experience.

• Degree area should be in Computer Science, Statistics, Information Systems, Engineering, or closely related field.

• Significant expertise with the Python ecosystem for data science.

• Significant expertise with PyTorch or Tensorflow.

Preferred Qualifications:

• Foundational understanding of supervised and unsupervised learning, reinforcement learning, and deep learning.

• Experience with large, multimodal datasets.

• Experience developing scalable ML algorithms and workflows for HPC resources.

• Experience working on Linux/Unix platforms.

• Self-disciplined work ethic and eagerness to tackle ambitious research problems.

• Experience with heath care informatics and clinical data is highly desired.

• Excellent written and oral communication skills.

• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to constantly evolving needs.

Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email:ORNLRecruiting@ornl.gov.

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This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.