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Neural Engineer Jobs in Tennessee (NOW HIRING)

Inovalon, Inc.

Senior Machine Learning Engineer

Nashville, TN · On-site

$118K - $156K/yr

Apply neural networks and deep learning techniques using PyTorch for appropriate use cases ... Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Neural networks, decision trees, ensemble methods * Transformer-based models, adversarial networks ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Neural networks, decision trees, ensemble methods * Transformer-based models, adversarial networks ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

Varsity Tutors

Machine Learning Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Kingsport, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Cisco

Applied AI Scientist

Nashville, TN

Collaborate with engineering, product, and data science teams to understand requirements ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Cisco

Applied AI Scientist

Memphis, TN

Collaborate with engineering, product, and data science teams to understand requirements ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

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All JobsNeural Engineer JobsNeural Engineer Jobs in Tennessee

Neural Engineer information

See Tennessee salary details

$54K

$101.3K

$184.2K

How much do neural engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for neural engineer in Tennessee is $101,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $120,300.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often work in healthcare, biotech, or academic settings, applying skills in signal processing, neuroscience, and biomedical engineering to develop innovative solutions for neurological disorders and neural interface systems.

What does a neural engineer do?

A neural engineer designs and develops technologies to interface with the nervous system, such as brain-computer interfaces and neural prosthetics. They often work with biomedical signals, use tools like MATLAB or Python, and require knowledge of neuroscience, engineering, and programming. Their work supports medical treatments, research, and the development of neural devices.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare expertise and certifications.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What types of projects and collaborations can a Neural Engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

What does a Neural Engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

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

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What are popular job titles related to Neural Engineer jobs in Tennessee? For Neural Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Tennessee look for? The top searched job categories for Neural Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Neural Engineer jobs? Cities in Tennessee with the most Neural Engineer job openings:
Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Tennessee as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,319 per year, or $48.7 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Inovalon, Inc.

Nashville, TN • On-site

$118K - $156K/yr

Other

Medical, Life, Retirement, PTO

Posted 18 days ago

Job description

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.

Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

Inovalonis a leading cloud-based healthcare technology company thatleveragesdata analytics and AI to drive meaningful improvements across the healthcare ecosystem. The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves asInovalon'scentral AI and machine learning hub. This team partners with Provider, Payer, and Pharmacy business units toidentify, build, and deploy AI solutions that improve clinical and operational outcomes at scale.

In this role, you will contribute to both classical machine learning and generative AI applications, including LLM-based and agentic solutions. You will work across the full model development lifecycle on a modern, cloud-native AWS stack, collaborating closely with AI Product Managers and a distributed team of senior engineers across the U.S. and India.

Key Responsibilities
  • Design, train, and deploy machine learning models spanning classical ML (classification, regression, clustering, time-series) and generative AI use cases including LLM-based and agentic applications.
  • Build and maintain cloud-native solutions on AWS using containerized architectures (Docker, Kubernetes) to support scalable model serving and data pipelines.
  • Own and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks.
  • Develop and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units.
  • Collaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions.
  • Apply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches.
  • Write robust, production-ready code following engineering best practices; participate in code and design reviews.
  • Leverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality.
  • Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture decisions.
  • Support integration of frontend components into ML-powered features where applicable.
  • Contribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos.
  • Adhere to all HIPAA, data governance, confidentiality, and regulatory requirements in all aspects of work.
  • Maintain compliance with Inovalon's policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success.
Qualifications

Required

  • Minimum 5 years of software development experience with a strong foundation in machine learning fundamentals and model training.
  • Expert-level Python proficiency; Python is the team's primary language and is the highest-priority technical requirement.
  • Hands-on experience building and deploying classical ML models in production using scikit-learn.
  • Demonstrated experience with generative AI, LLMs, or agentic application development.
  • Proficiency with PyTorch and neural network architectures.
  • Practical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation.
  • AWS cloud experience, including deploying and managing cloud-native workloads.
  • Containerization experience with Docker and/or Kubernetes.
  • Strong problem-solving ability; demonstrated capacity to work independently and take ownership of complex technical challenges.
  • Daily usage of AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) as part of standard development workflow.

Preferred

  • Experience with database technologies (SQL or NoSQL); familiarity with data pipeline tooling.
  • Frontend development skills to support full-stack ML feature work.
  • Healthcare domain experience or exposure to HIPAA-regulated environments.

Education

  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical field required.
  • Master's degree or PhD in Computer Science, Machine Learning, or equivalent practical experience preferred.

Physical Demands and Work Environment

  • Sedentary work (i.e., sitting for long periods of time).
  • Exerting up to 10 pounds of force occasionally and/or a negligible amount of force.
  • Subject to inside environmental conditions.
  • Travel for this position will include less than 10% locally, usually for training purposes.

Inovalon Offers a Competitive Salary and Benefits Package

In addition to the base compensation, this position may be eligible for performance-based incentives.

The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.

Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuablebenefits packagewith a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more.

Base Compensation Range
$151,800—$202,000 USD

This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)

If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.

By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.

Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.

To review the legal requirements, including all labor law posters, please visit this link

To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit thislink

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