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Research Assistant Machine Learning Jobs in Memphis, TN

Arcosa LWB, LLC

AI Architect

Memphis, TN · On-site

$61.25 - $80.75/hr

Research, prototype, and deploy modern AI technologies including Generative AI, Machine Learning ... Design and develop AI assistants, copilots, knowledge management solutions, and intelligent ...

Arcosa Lightweight

AI Architect

Memphis, TN · On-site

$61.25 - $80.75/hr

Research, prototype, and deploy modern AI technologies including Generative AI, Machine Learning ... Design and develop AI assistants, copilots, knowledge management solutions, and intelligent ...

Arcosa Lightweight

AI Architect

Memphis, TN · On-site

$56.25 - $74/hr

Research, prototype, and deploy modern AI technologies including Generative AI, Machine Learning ... Design and develop AI assistants, copilots, knowledge management solutions, and intelligent ...

Loram

Machine Operator 1, TSO

Memphis, TN · On-site

$20 - $21/hr

Assistant Manager, Superintendent or Assistant Superintendent GENERAL DESCRIPTION / PURPOSE ... Learning on the Fly * Action Oriented * Listening * Personal Learning This post is also available ...

Loram

Machine Operator 1, TSO

Arlington, TN · On-site

$20 - $21/hr

Assistant Manager, Superintendent or Assistant Superintendent GENERAL DESCRIPTION / PURPOSE ... Learning on the Fly * Action Oriented * Listening * Personal Learning This post is also available ...

Varsity Tutors

Statistics Graduate Level Tutor

Memphis, TN · Remote

$18 - $40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Research Assistant Machine Learning information

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How much do research assistant machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for research assistant machine learning in Memphis, TN is $21.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $24.76 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Memphis, TN?

For Research Assistant Machine Learning jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Research Assistant Machine Learning jobs in Memphis, TN look for?

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Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,271 per year, or $21.3 per hour.

Principal Computational Engineer

St. Jude Childrens Research Hospital

Memphis, TN • On-site

Other

This job post has expired today. Applications are no longer accepted.

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,061 rated hospitals

Job description

St. Jude Children's Research Hospital is seeking a Principal Computational Engineer to provide technical leadership and strategic vision for the advanced computing environments and software ecosystems leveraged by researchers to further the St. Jude mission. This role serves as a senior technical leader within High Performance Research Computing (HPRC), partnering closely with researchers, data scientists, software engineers, and institutional stakeholders to define and execute institutional research computing strategy.
The Principal Computational Engineer will lead the design, evaluation, and implementation of scalable scientific computing solutions spanning high-performance computing (HPC), cloud computing, research software engineering, data-intensive workflows, artificial intelligence and machine learning platforms, and advanced data management systems. The successful candidate will possess a strong understanding of the computational challenges associated with modern life science research and ideally have experience supporting research environments that facilitate bioinformatics, genomics, imaging, structural biology, computational biology, or other data-intensive scientific workflows.
As a trusted technical advisor, this individual will help research programs leverage advanced computational technologies while ensuring solutions are sustainable, secure, scalable, and aligned with institutional objectives. The role requires a unique combination of expertise in computational science, software development, research computing infrastructure, and collaborative engagement with multidisciplinary teams. The Principal Computational Engineer will guide architectural decisions, evaluate emerging technologies, mentor engineering team members, and translate complex scientific requirements into robust computational capabilities that support research across St. Jude.
Job Responsibilities:
  • Provide long-term, sustainable, and scalable technical vision and strategy for ongoing IS efforts to support basic science and translational research.
  • Oversee definition and execution of IS technology strategy in line with research needs.
  • Provide inputs for effective planning, analysis, and implementation of technology solutions to support basic science research.
  • Lead feasibility studies, time and cost estimates, and development and implementation of new or revised computational applications and systems.
  • Oversee implementation of security, and performance monitoring of computational software applications.
  • Provide project management guidance to teams for delivery of projects and tasks within timelines and budget, and in accordance with design specifications.
  • Guide technical management of computational and data processing applications and systems including software installation, configuration, testing, and file management.
  • Conduct continuous research and assessment of new resources and technologies available for application development in RIS and deployment.
  • Engage with the Institutional Review Board, Compliance, Internal Audit, Legal, and other regulatory entities to ensure proper protection of patient data.
  • Develop team members through formal training and mentoring activities and ensure cross-training of mid and senior members across areas of expertise/ key skill sets.
  • Perform other duties as assigned to meet the goals and objectives of the department and institution.
  • Maintains regular and predictable attendance.
  • Consistently meet job expectations, adhere to policies, and deliver quality work while applying. St. Jude values and principles. Managers evaluate employee performance throughout the year-specifically through the spring and fall Check-In milestones and the Annual Performance Review. All employees are encouraged to actively participate in these performance management processes.

Minimum Education and/or Training:
  • Master's degree in computer science, data science, information science, mathematics, or a related field of study required.
  • PHD preferred.

Minimum Experience:
  • Minimum Experience: 8+ years of progressive experience developing, optimizing, or maintaining scientific or computational applications.
  • Demonstrated history of successfully delivering complex projects.
  • Demonstrated contribution and impact on the domain of specialty.
  • Proven success collaborating across disciplines.
  • Demonstrated ability to lead projects and guide team members.
  • Recognized expertise with algorithms, pipelines, or systems development.

Desired/Highly Preferred Experience:
  • Demonstrated history of supporting Research Computing Environments.
  • Experience with Bioinformatics, Bioimage, or related Life Science pieplines.
  • Experience with HPC schedulers like Slurm, LSF, and Kubernetes.

Special Skills, Knowledge and Abilities:
  • Shows strong skills in thinking critically with a systemic view.
  • Shows expertise in taking a structured approach to analyze and resolve issues.
  • Able to distinguish between different sets of issues, set priorities, and make decisions.
  • Can present/facilitate independently in senior-level meetings. Presents information as a structured story and anticipates questions well.
  • Addresses difficult questions and challenges effectively.
  • Able to effectively influence others using facts and logic.
  • Keeps teams energized and focused on high-quality results.
  • Thinks long-term in building and executing metrics-driven plans and stretch goals for St. Jude.
  • Builds structures and processes with clear lines of authority and accountability so teams know what they are empowered and accountable to do.
  • Is an organizational expert in parallel programming and high-performance computing using OpenMP, MPI, and Pthreads.
  • Highly skilled in UNIX/Linux scripting languages and other high-level programming languages.
  • Leverages expertise in computational algorithms and systems, HPC applications and data processing, design principles, and computational scalability and reliability, to analyze complex research needs and design/implement/adopt new algorithms/processes.
  • Provides inputs to overall strategy in identification of critical computational tools, hardware, and resources for business/research teams.
  • Proactively engages with customers to seek feedback and suggestions to deliver high quality service within own area.
  • Executes new approaches to improve customer systems and processes.
  • Independently seeks out and addresses complex customer needs.
  • Thinks holistically and plans for interdependencies and impact of work and processes with other teams within and outside of IT.
  • Always focused on quality, costs, sustainability from a complete ownership mindset and approach.
  • Demonstrates a strong collaborative style with emotional empathy and is able to work/ negotiate through challenging situation

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $114,400 - $216,320 per year for the role of Principal Computational Engineer.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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