The Machine Learning Software Engineer in the LSU Office of Academic Affairs/College of Engineer - Computer Science will play an important role in the design, development, deployment, and ongoing maintenance of innovative full-stack software applications leveraging Large Language Models (LLMs) to support university faculty, staff, and students. Collaboration with multidisciplinary teams will be essential to identify application requirements, define project scope, and deliver high-quality solutions, with an emphasis on clear communication of results to both technical and non-technical stakeholders.
Design, develop, deployment, and maintenance of full-stack software applications utilizing Large Language Models (LLMs). Develop custom LLM chains and pipelines, fine-tune pretrained LLM models, and benchmark models to optimize performance on custom datasets. 60%
Collaborate with multidisciplinary teams to identify application requirements, define project scope, and deliver and report on solutions. Communicate results to both technical and non-technical stakeholders. 20%
Stay current with the latest advancement in LLMs and other facets of deep learning and natural language processing to drive innovation. 10%
Additional duties as assigned. 10%
Minimum Qualifications:
Bachelor's degree and 1 year of related experience
LSU is dedicated to fostering an environment where our employees feel appreciated for their skills and individuality. If a candidate does not meet the minimum qualifications as listed but has substantial experience in the key job responsibilities, we encourage them to apply.
Preferred Qualifications:
Bachelor's degree in computer science, Computer Engineering or related technical field with 0-2 years of related experience.
Demonstrated university or internship experience in the integration of Large Language Models (LLMs) into software applications, prompt engineering, model fine-tuning, and LLM chain development.
Excellent and demonstrated oral and written communication skills with the ability to effectively convey technical concepts to non-technical stakeholders. Demonstrated university or internship project experience in full stack application development.
Demonstrated university education in the integration of Large Language Models (LLMs) into software applications, prompt engineering, model fine-tuning, and LLM chain development.
Core knowledge of Python and Javascript programming
Strong oral and written communication skills with the ability to effectively convey technical concepts to non-technical stakeholders. Ability to work both independently and in a team environment.
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
LSU is designated as a State As a Model Employer (SAME) agency and provides assistance to persons needing accommodations or with the accessibility of materials. For those seeking such accommodations or assistance related to this search, we encourage you to contact the Office of Human Resource Management (hr@lsu.edu).
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.