1

Machine Learning Jobs in Cookeville, TN (NOW HIRING)

Machine Operator 1, TSO

Sparta, TN · On-site

$20 - $21/hr

Learning on the Fly * Action Oriented * Listening * Personal Learning This post is also available ... machine operations. 2+ Years Demonstrated ability to learn communicate verbally and in writing and ...

Machinist Apprentice

Cookeville, TN

$15.25 - $19.50/hr

... learning from experienced machinists in a hands-on manufacturing environment. As a Machinist ... You will gain experience operating manual and using machine tools, producing high-quality ...

Machinist Apprentice

Cookeville, TN · On-site

$15.25 - $19.50/hr

... learning from experienced machinists in a hands-on manufacturing environment. As a Machinist ... You will gain experience operating manual and using machine tools, producing high-quality ...

Machinist Apprentice

Cookeville, TN · On-site

$15.25 - $19.50/hr

... learning from experienced machinists in a hands-on manufacturing environment.As a Machinist ... You will gain experience operating manual and using machine tools, producing high-quality ...

Press Operator, Imprinting

Sparta, TN · On-site

$13.50 - $17.50/hr

Make machinery/equipment adjustments as needed (dislodging jams, controlling speed, product size ... learning and training opportunities, bonus potential, and a 401(k) plan with company contributions ...

Press Operator, Imprinting

Sparta, TN

$13.50 - $17.50/hr

Make machinery/equipment adjustments as needed (dislodging jams, controlling speed, product size ... learning and training opportunities, bonus potential, and a 401(k) plan with company contributions ...

next page

Showing results 1-20

Machine Learning information

See Cookeville, TN salary details

$21.8K

$36.4K

$75.2K

How much do machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning in Cookeville, TN is $36,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,800.00 and $39,300.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Cookeville, TN? The most popular types of Machine Learning jobs in Cookeville, TN are:
What are popular job titles related to Machine Learning jobs in Cookeville, TN? For Machine Learning jobs in Cookeville, TN, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Cookeville, TN look for? The top searched job categories for Machine Learning jobs in Cookeville, TN are:
What cities near Cookeville, TN are hiring for Machine Learning jobs? Cities near Cookeville, TN with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Cookeville, TN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $36,377 per year, or $17.5 per hour.

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

Cookeville, TN • On-site, Remote

Contractor

Re-posted 4 days ago


Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.

Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.

Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.

Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks

What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.
Employment Type: CONTRACTOR