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Machine Learning Researcher Jobs in Tennessee (NOW HIRING)

Applies advanced statistical methodologies, machine learning algorithms, and AI models to identify patterns, generate predictions, and evaluate research outcomes. * Develops computational models and ...

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Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

The position focuses on data analytics, computational genomics, machine learning, and the ... mission in biomedical research and workforce development. The position provides access to ...

Research Assistant I - ON SITE

Nashville, TN · On-site

$18.50 - $25.50/hr

The Research Assistant will work across the full project lifecycle-from data collection and chart ... Active and anticipated projects include: • Developing and validating machine learning models to ...

The Data Scientist applies advanced statistical methods, machine learning techniques, computational modeling, and artificial intelligence approaches to characterize, predict, and optimize research ...

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AI Engineer II

Memphis, TN

$87K - $119K/yr

Write clean, efficient, and well-documented code to develop and implement machine learning and AI ... Work closely with Data Scientists to transition experimental models and research prototypes into ...

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

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Showing results 1-20

Machine Learning Researcher information

See Tennessee salary details

$27.2K

$102.7K

$149.3K

How much do machine learning researcher jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning researcher in Tennessee is $102,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $139,800.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are popular job titles related to Machine Learning Researcher jobs in Tennessee? For Machine Learning Researcher jobs in Tennessee, the most frequently searched job titles are:
Infographic showing various Machine Learning Researcher job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $102,653 per year, or $49.4 per hour.
Sr Staff Image Data Scientist -- Time-Series & Neuroscience

Sr Staff Image Data Scientist -- Time-Series & Neuroscience

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 20 days ago


St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

63rd of 1,013 rated hospitals


Job description

Job Summary:
St. Jude Children's Research Hospital is a leading institution focused on understanding brain development and function through innovative computational research. The Sr Staff Image Data Scientist will be responsible for architecting and developing image analysis platforms, utilizing statistical and machine learning techniques to extract insights from complex biological data.
Responsibilities:
• Develop statistical, time-series, and machine learning techniques to extract meaningful insights from complex biological data (large-scale neuroimages, light and electron microscopy, animal behavior, histopathology, etc).
• Collaborate with scientists and researchers to design experiments and optimize data acquisition protocols for effective downstream computational analysis.
• End-to-end image analysis from pre-processing and data cleaning to reporting results.
• Stay up-to-date with the latest advancements in the field of data science.
Qualifications:
Required:
• A Ph.D. or equivalent degree in mathematics, statistics, computer science, neuroscience, physics or a related field.
• Strong background in statistical analysis and machine learning algorithms.
• Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing.
• Strong expertise in time-series analysis, image and signal processing, and data visualization.
• Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team-oriented environment.
• Strong communication skills to effectively convey complex concepts and results to both technical and non-technical stakeholders.
• Bachelor's degree plus 8 years experience required.
• Work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field).
• Demonstrated technical thought leadership in an applied computational field (e.g., computer vision, deep learning, numerical optimization, image analysis, computer game design, scientific computing, fine element analysis, scientific visualization).
• Substantial experience in image analyses, image data management, and programming (e.g., Python, R, Matlab, Java, C/C++).
• Proven performance in earlier role/comparable role.
Preferred:
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and high-performance computing environments is a plus.
• Master's degree plus six (6) years experience or PhD plus four (4) years experience preferred.
• Experience in biological/medical imaging, deep learning, image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer code optimization and evaluation in an HPC environment, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging preferred.
Company:
St. Founded in 1962, the company is headquartered in Memphis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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