RESEARCH MACHINE LEARNING ENGINEER II
H. Lee Moffitt Cancer Center
Tampa, FL
Job posting number: #7261376 (Ref:hlj_54290)
Posted: July 9, 2024
Application Deadline: Open Until Filled
Job Description
The Machine Learning Engineer II is responsible for a variety of tasks in support of the Department of
Machine Learning and its research initiatives. These include administering computing infrastructure,
developing professional-level software tools for machine/deep learning applications in cancer research,
and collaborating on software implementation with team members.
The role involves training new staff, maintaining a quality assurance program for software tools, and
establishing standards for structured software and systems engineering. Additionally, the engineer is
tasked with extending data management applications for genomics, clinical, and imaging data, adhering
to best coding practices, exploring new technologies, and effectively collaborating with cross-functional
teams. The level II is expected to handle more complex tasks independently and mentor junior engineers
compared to a level I Machine Learning Engineer.
Education:
Bachelor's in computer science, engineering, mathematics, physics, machine learning or related fields with 3 years Machine Learning and software development required.
- Masters with 1 yr experience or PhD preferred.
Mission To create a Moffitt culture of diversity, equity, and inclusion as we strive to contribute to the prevention and cure of cancer. Vision To advance and accelerate a culture of access, equity, and inclusion. Diversity is a priority at Moffitt and is meant "to promote a culture of diversity and inclusion as we contribute to the prevention and cure of cancer." The Enterprise Equity Department focuses its efforts on eliminating those obstacles to an individual’s ability to exist within their personal comfort zone at the cancer center. Everyone is important to meeting this priority. Addressing and responding to diversity and inclusion fosters an environment where mutual respect for diverse cultures, communication styles, languages, customs, beliefs, values, traditions, experiences and other ways in which we identify ourselves, is the expectation.
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