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Junior Machine Learning Engineer Jobs in Murfreesboro, TN

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor junior engineers and guide best practices in ML development Stay current with emerging ML ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor junior engineers and guide best practices in ML development Stay current with emerging ML ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Retirement

  • PTO

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment! TailorCare is on a mission to ...

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 ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will: Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance ...

Machine Learning Engineer

Nashville, TN · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to own the intelligence layer of our platform. You'll work across structured and unstructured data to drive automation, predict bottlenecks, and help ...

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... mentors junior team members, fostering continuous learning and knowledgesharing within and across teams. ContinuousImprovement: - Developsideas, recommends updates, and/or collaborates on the ...

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... mentors junior team members, fostering continuous learning and knowledgesharing within and across teams. ContinuousImprovement: - Developsideas, recommends updates, and/or collaborates on the ...

Principal Machine Learning Engineer

Nashville, TN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... mentors junior team members, fostering continuous learning and knowledgesharing within and across teams. ContinuousImprovement: - Developsideas, recommends updates, and/or collaborates on the ...

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... mentors junior team members, fostering continuous learning and knowledgesharing within and across teams. ContinuousImprovement: - Developsideas, recommends updates, and/or collaborates on the ...

Principal Machine Learning Engineer

Nashville, TN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... mentors junior team members, fostering continuous learning and knowledgesharing within and across teams. ContinuousImprovement: - Developsideas, recommends updates, and/or collaborates on the ...

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... mentors junior team members, fostering continuous learning and knowledgesharing within and across teams. ContinuousImprovement: - Developsideas, recommends updates, and/or collaborates on the ...

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Showing results 1-20

Junior Machine Learning Engineer information

See Murfreesboro, TN salary details

$29.5K

$63.3K

$96.5K

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

As of Aug 17, 2026, the average yearly pay for junior machine learning engineer in Murfreesboro, TN is $63,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $70,500.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What are popular job titles related to Junior Machine Learning Engineer jobs in Murfreesboro, TN?

For Junior Machine Learning Engineer jobs in Murfreesboro, TN, the most frequently searched job titles are:

What cities near Murfreesboro, TN are hiring for Junior Machine Learning Engineer jobs?

Cities near Murfreesboro, TN with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Murfreesboro, 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 $63,266 per year, or $30.4 per hour.

Senior Machine Learning Engineer

TheIncLab

Nashville, TN • On-site

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Job description

The Mission Starts Here

TheIncLab engineers and delivers intelligent digital applications and platforms that revolutionize how our customers and mission-critical teams achieve success.

We are where innovation meets purpose; and where your career can meet purpose as well.  We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing, training, and evaluating machine learning models to solve complex, real-world problems. We encourage you to apply and take the first step in joining our dynamic and impactful company.

Your Mission, Should You Choose to Accept

As a Machine Learning Engineer, you will research, evaluate, and select appropriate machine Learning approaches and architectures based on the problem definition.

What will you do?

  • Research, evaluate, and select appropriate machine learning approaches and architectures based on the problem definition
  • Supervised, unsupervised, and reinforcement learning
  • Neural networks, decision trees, ensemble methods
  • Transformer-based models, adversarial networks, genetic algorithms
  • Retrieval-Augmented Generation (RAG) where appropriate
  • Design and implement machine learning models using frameworks such as PyTorch, TensorFlow, or equivalent
  • Formulate and solve optimization problems using ML techniques
  • Pathfinding and routing
  • Combinatorial and constraint-based optimization Heuristic and learning-based optimization approaches
  • Own data pipelines for ML systems
  • Data validation and quality checks
  • Feature engineering and preprocessing
  • Data augmentation strategies for training robustness
  • Train, tune, and debug models, addressing issues such as overfitting, instability, bias, and performance degradation
  • Define and apply appropriate evaluation metrics, analyze results and iteratively improve model performance
  • For transformer-based systems
  • Optimize context window usage Manage token budgets, chunking strategies, and retrieval mechanisms
  • Balance performance, accuracy, and computational cost
  • Integrate ML models and data pipelines into production systems
  • Make technical decisions and provide architectural guidance for ML systems
  • Document experiments, results, and design decisions using tools such as Git, Jira, and Confluence
  • Mentor junior engineers and guide best practices in ML development Stay current with emerging ML research, tools, and techniques
  • Ability to travel up to 20%

Requirements

Capabilities that will enable your success

  • Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or a related field
  • 7+ years of professional experience, including significant hands-on machine learning development
  • Strong understanding of machine learning theory and fundamentals
  • Model selection and evaluation
  • Bias/variance tradeoffs
  • Optimization and loss functions
  • Demonstrated experience training and evaluating models using frameworks such as PyTorch or TensorFlow
  • Experience building and maintaining end-to-end ML pipelines
  • Strong programming skills in Python (additional languages are a plus)
  • Experience working with real-world, imperfect datasets
  • Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders
  • Strong grasp of software engineering best practices and system design

Preferred Qualifications

  • Experience with deep learning architectures (CNNs, RNNs, Transformers)
  • Experience applying ML to optimization, planning, or decision-making problems
  • Familiarity with distributed training or large-scale data processing
  • Experience with experiment tracking tools (e.g., MLflow, Weights & Biases)
  • Experience deploying ML models into production (batch or real-time inference) Background in research-driven or R&D-focused engineering environments

Clearance Requirements

Applicants must be a U.S. Citizen and willing and eligible to obtain a U.S. Security Clearance at the Secret or Top-Secret level. Existing clearance is preferred.

Benefits

At TheIncLab we recognize that innovation thrives when employees are provided with ample support and resources. Our benefits packages reflect that:

  • Hybrid and flexible work schedules
  • Professional development programs
  • Training and certification reimbursement e options for Me
  • Extended and floating holiday schedule
  • Paid time off and Paid volunteer time
  • Health and Wellness Benefits includes, Dental, and Vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs.
  • Supplemental Life Insurance options for employees and family members.
  • 401(k) Plan Options with employer matching Incentive bonuses for eligible clearances, performance, and employee referrals.
  • A company culture that values your individual strengths, career goals, and contributions to the team

About TheIncLab

Founded in 2015, TheIncLab (“TIL”) is the first human-centered artificial intelligence (AI+X) lab. We engineer complex, integrated solutions that combine cutting-edge AI technologies with emerging systems-of-systems to solve some of the most difficult challenges in the defense and aerospace industries. Our work spans diverse technological landscapes, from rapid ideation and prototyping to deployment.

At TIL, we foster a culture of relentless optimism. No problem is too hard, no project is too big, and no challenge is too complex to tackle. This is possible due to the positive attitude of our teams. We approach every problem with a “yes” attitude and focus on results. Our motto, “demo or die,” encompasses the idea that failure is not an option.

We do all of this with a work ethic rooted in kindness and professionalism. The positive attitude of our teams is only possible due to the support TIL provides to each individual.

At TIL, we believe that every challenge is an opportunity for growth and innovation. Our teams are encouraged to think outside the box and come up with creative solutions to complex problems. We understand that the path to success is not always straightforward, but we are committed to persevering and finding a way forward.

Our culture of relentless optimism is not just about having a positive attitude; it is about taking action and making things happen. We believe in the power of collaboration and teamwork, and we know that by working together, we can achieve great things. Our teams are made up of individuals who are passionate about their work and dedicated to making a difference.

Learn more about TheIncLab and our job opportunities at www.theinclab.com.

*Salary range guidance provided is not a guarantee of compensation. Offers of employment may be at a salary range that is outside of this range and will be based on qualifications, experience, and possible contractual requirements.

*This is a direct hire position, and we do not accept resumes from third-party recruiters or agencies.