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Internship Full Stack Machine Learning Engineer Jobs in Tennessee

Pilot Flying J

Sr Engineer, AI

Knoxville, TN

$86K - $118K/yr

Ensure application security, performance optimization, and scalability across the full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment strategies for ...

Pilot Company

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Ensure application security, performance optimization, and scalability across the full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment strategies for ...

Pilot Company

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Ensure application security, performance optimization, and scalability across the full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment strategies for ...

Pilot Company

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Ensure application security, performance optimization, and scalability across the full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment strategies for ...

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, evaluate, and select appropriate machine Learning approaches and architectures based on the problem ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN

$100K - $138K/yr

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 ...

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

Nashville, 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 ...

Bespoke Labs

Machine Learning Engineer

Chattanooga, 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 ...

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

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 ...

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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All JobsFull Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Tennessee

Internship Full Stack Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Tennessee? The most popular types of Full Stack Machine Learning Engineer jobs in Tennessee are:
What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Tennessee? For Internship Full Stack Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Tennessee look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities in Tennessee with the most Internship Full Stack Machine Learning Engineer job openings:
Internship Full Stack Machine Learning Engineer jobs near you

Sr Engineer, AI

Pilot Flying J

Knoxville, TN

$86K - $118K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago

Job description

Company Description

Pilot Company is an industry-leading network of travel centers with more than 30,000 team members and over 750 retail and fueling locations in 44 states and six Canadian provinces. Our energy and logistics division serves as a top supplier of fuel, employing one of the largest tanker fleets and providing critical services to oil operations in our nation's busiest basins. Pilot Company supports a growing portfolio of brands with expertise in supply chain and retail operations, logistics and transportation, technology and digital innovation, construction, maintenance, human resources, finance, sales and marketing.

Founded in 1958 by Jim A. Haslam II and currently led by CEO Adam Wright, our founding values, people-first culture and commitment to giving back remains true to us today. Whether we are serving guests, a fellow team member, or a trucking company, we are dedicated to fueling people and keeping North America moving.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or any other characteristic protected under applicable federal, state, or local law.

Military encouraged to apply.

Job Description

Pilot's Senior AI Engineer will drive technical decisions, own complex projects, demonstrate deep expertise in AI/ML systems and mentoring junior engineers while delivering high-impact solutions.

Key Responsibilities & Scope

  • Technical Leadership: Leads complex projects and influences technical direction
  • Mentorship: Guides junior engineers and shares knowledge across teams
  • System Design: Architects scalable AI solutions with performance optimization
  • Cross-functional Impact: Collaborates with product, research, and platform teams

Full Stack Development

  • Architect end-to-end AI applications using modern web frameworks and cloud-native architectures
  • Lead implementation of complex front-end interfaces with advanced React.js patterns
  • Design robust backend services with event-driven architectures using AWS services
  • Implement gRPC and GraphQL microservices and optimize system performance
  • Ensure application security, performance optimization, and scalability across the full stack

Machine Learning Engineering & Operations

  • Design and optimize ML model deployment strategies for production scale
  • Establish MLOps best practices including automated testing and evaluation
  • Implement comprehensive monitoring using CloudWatch, Prometheus, and Grafana
  • Optimize model performance and cost efficiency
  • Lead infrastructure design with Terraform IaC and multi-cloud strategies

Applied Generative AI Research & Agent Development

  • Research and implement state-of-the-art generative AI models and agent architectures
  • Build sophisticated multi-agent orchestration systems
  • Develop advanced RAG systems with performance optimization
  • Create agent evaluation frameworks measuring performance, reliability, and safety
  • Drive prompt engineering strategies and multi-modal AI applications
  • Lead integration of LLM APIs and open-source models with optimization techniques
Qualifications
  • 4-6 years of full-stack development with React, Next.js, TypeScript, Node.js
  • 3+ years of ML engineering and production model deployment
  • Extensive AWS experience with advanced services and architectures
  • Deep understanding of AI/ML fundamentals and generative AI systems
  • Experience with system design and performance optimization
  •  
Additional Information
  • Nation-wide Medical Plan/Dental/Vision
  • 401(k) and Flexible Spending Accounts
  • Employee Fuel Discount
  • Adoption Assistance
  • Tuition Reimbursement
  • Onsite Gym and Cafeteria
  • Weekly Pay
  • All your information will be kept confidential according to EEO guidelines
  • This position requires candidates to be legally authorized to work in the United States without employer sponsorship

Apply