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Executive Full Stack Machine Learning Engineer Jobs in Tennessee

Pilot Flying J

Sr Engineer, AI

Knoxville, TN

$86K - $118K/yr

Haslam II and currently led by CEO Adam Wright, our founding values, people-first culture and ... full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment ...

Pilot Company

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Haslam II and currently led by CEO Adam Wright, our founding values, people-first culture and ... full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment ...

Pilot Company

Sr Engineer, AI

Knoxville, TN

$86K - $118K/yr

Haslam II and currently led by CEO Adam Wright, our founding values, people-first culture and ... full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment ...

Pilot Company

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Haslam II and currently led by CEO Adam Wright, our founding values, people-first culture and ... full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment ...

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 ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Executive Full Stack Machine Learning Engineer information

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

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 Executive Full Stack Machine Learning Engineer jobs in Tennessee? For Executive Full Stack Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Tennessee look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Tennessee with the most Executive Full Stack Machine Learning Engineer job openings:
Executive 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 12 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

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