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Machine Learning Software Engineer Jobs in Tennessee

Inovalon, Inc.

Senior Machine Learning Engineer

Nashville, TN · On-site

$118K - $156K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Minimum 5 years of software development experience with a strong foundation in machine learning ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research ... Strong grasp of software engineering best practices and system design Preferred Qualifications

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Strong grasp of software engineering best practices and system design Preferred Qualifications

Bespoke Labs

Machine Learning Engineer

Memphis, TN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Knoxville, TN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Jackson, TN · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Machine Learning Software Engineer information

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$57.6K

$133.9K

$186.5K

How much do machine learning software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning software engineer in Tennessee is $133,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $157,000.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Tennessee? The most popular types of Machine Learning Software Engineer jobs in Tennessee are:
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What job categories do people searching Machine Learning Software Engineer jobs in Tennessee look for? The top searched job categories for Machine Learning Software Engineer jobs in Tennessee are:
What are popular job titles related to Machine Learning Software Engineer jobs in TN? For Machine Learning Software Engineer jobs in TN, the most frequently searched job titles are:
Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Tennessee as of July 2026, with employment types broken down into 93% Full Time, 2% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,895 per year, or $64.4 per hour.
Staff Software Engineer / Machine Learning Engineer - Radiology

Staff Software Engineer / Machine Learning Engineer - Radiology

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted 6 days ago

New

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

64th of 1,012 rated hospitals

Job description

We are seeking a highly motivated and experienced Machine Learning Engineer to develop advanced machine learning (ML), deep learning (DL), and foundational AI models for medical imaging. This role focuses on building robust algorithms for segmentation, quantification, and detection across CT, MRI, and X-ray.
This position sits at the center of a well-resourced, data-rich research environment with established infrastructure for multi-institutional data aggregation, curation, and large-scale annotation. St. Jude Children's Hospital has incredible high-performance computing resources. The lab leverages curated datasets from diverse sources, dedicated annotation teams, and external engineering support, enabling this role to focus on high-impact model development, validation, and clinical translation.
Many projects are designed with a path toward regulatory clearance via FDA's 510(k) or De Novo pathways, and the successful candidate will work closely with regulatory and quality experts to support reproducible, well-documented, and clinically deployable AI solutions. This role offers a unique combination of academic productivity (authorship opportunities) and real-world impact through translation into clinical practice.
Machine Learning Engineer
Key Responsibilities
  • Develop, train, and validate state-of-the-art ML/DL models for segmentation, quantification, and detection across CT, MRI, and X-ray

  • Design and implement 2D and 3D model architectures (CNNs, transformer-based, and foundational models)

  • Build scalable pipelines for data preprocessing, model training, evaluation, and deployment

  • Develop quantitative imaging methods (e.g., volumetrics, density measurements, biomarker extraction)

  • Leverage curated, multi-institutional datasets to ensure model generalizability and robustness

  • Collaborate with radiologists and engineering teams to define clinically meaningful outputs

  • Produce regulatory-grade documentation for datasets, model development, validation, and performance

  • Ensure reproducibility and traceability of experiments (data, model, and code versioning)

  • Work collaboratively with regulatory and quality experts to support FDA 510(k) and De Novo submissions, including providing technical documentation and validation evidence

  • Contribute to software quality and security practices, including supporting activities such as vulnerability assessment and penetration testing in collaboration with cybersecurity and regulatory teams

  • Utilize modern AI-assisted development tools (e.g., LLM-based coding agents) to accelerate development and improve code quality

  • Participate in team-based development practices (code reviews, Git, testing frameworks)

  • Support manuscripts, grants, and technical reporting

Minimum Education and/or Training:
  • Bachelor's degree in computer science, data science, information science, business, or related field.
  • Master's degree preferred.

Minimum Experience:
  • Minimum Requirement: Bachelor's degree with 5+ years of experience required.
  • Experience Exception: Master's degree with 3+ years of experience.
  • Experience with programming languages, databases, and software development lifecycle
  • Experience with the position-specific technical stack preferred
  • Experience with the position-specific scientific domain preferred
  • Proven performance in earlier role/comparable role

Preferred Qualifications
  • 3+ years of experience developing ML/DL models for image analysis

  • Demonstrated experience with segmentation, detection, and/or quantitative imaging algorithms (2D and/or 3D)

  • Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)

  • Experience with modern architectures (U-Net variants, detection frameworks, transformers, or foundational models)

  • Familiarity with DICOM and medical imaging workflows

  • Strong understanding of evaluation metrics (Dice, IoU, ROC/AUC, sensitivity/specificity)

  • Experience with version control and collaborative development (e.g., Git)

  • Demonstrated ability to produce clear, structured technical documentation

  • Experience using modern LLM-based coding assistants (e.g., Claude, Codex, or similar) to enhance development workflows

  • (Strongly preferred) Experience developing and documenting AI solutions for clinical translation or regulatory submission (e.g., FDA 510(k))

  • Familiarity with Good Machine Learning Practice (GMLP)

  • Experience collaborating with regulatory, quality, or cybersecurity teams

  • Exposure to software security principles (e.g., secure coding, vulnerability assessment, penetration testing concepts)

  • Experience with large, multi-institutional datasets

  • Familiarity with radiology workflows and quantitative imaging biomarkers

  • Experience with cloud or high-performance computing environments

  • Experience deploying models into research or clinical environments

Academic and Career Development Opportunities
  • Significant opportunities for authorship on high-impact manuscripts

  • Active participation in multi-institutional research collaborations

  • Opportunities to contribute to grant proposals and funded research initiatives

  • Exposure to translational AI development, including projects targeting FDA 510(k) clearance

  • Ability to build a strong academic portfolio in parallel with real-world clinical impact

Key Attributes
  • Highly collaborative and team-oriented

  • Detail-oriented with strong commitment to documentation, reproducibility, and auditability

  • Able to operate effectively in a translational, regulatory-aware environment

  • Strong interest in delivering clinically impactful AI solutions

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 $104,000 - $186,160 per year for the role of Staff Software Engineer / Machine Learning Engineer - Radiology.
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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