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Deep Learning Jobs in Tennessee (NOW HIRING)

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Experience with deep learning architectures (CNNs, RNNs, Transformers) * Experience applying ML to optimization, planning, or decision-making problems * Familiarity with distributed training or large ...

AI Solutions Architect

Nashville, TN · On-site

$60.75 - $80.25/hr

... learning, deep learning, or generative artificial intelligence solutions in production environments * Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or ...

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Deep Learning information

See Tennessee salary details

$10K

$76.1K

$127.1K

How much do deep learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for deep learning in Tennessee is $76,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $126,200.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are deep learning jobs?

Deep learning jobs involve developing and applying neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. These roles typically require skills in programming languages like Python, experience with frameworks like TensorFlow or PyTorch, and a strong understanding of machine learning concepts. They are common in industries such as technology, healthcare, and finance, often requiring a background in computer science or related fields.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

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

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are popular job titles related to Deep Learning jobs in Tennessee? For Deep Learning jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Deep Learning jobs? Cities in Tennessee with the most Deep Learning job openings:
Infographic showing various Deep Learning job openings in Tennessee as of May 2026, with employment types broken down into 2% As Needed, 68% Full Time, 27% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $76,136 per year, or $36.6 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

TheIncLab

Nashville, TN • On-site

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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 includdical, Dental, and Vision insurance along with access to Wellness, Mental Health, and Employee Assistance Programs.
  • 100% Company Paid Benefits that include STD, LTD, and Basic Life insurance.
  • 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.