ZipRecruiter

Log In

2

Remote Deep Learning Engineer Jobs in Tennessee (NOW HIRING)

NxT Level

Full Stack Engineer

Nashville, TN · Remote

Experience in construction, fintech, proptech, or any domain requiring deep business learning to ... Remote culture that rewards proactive communication and practical execution

NxT Level

Full Stack Engineer

Nashville, TN · Remote

Experience in construction, fintech, proptech, or any domain requiring deep business learning to ... Remote culture that rewards proactive communication and practical execution

Tithe.ly

Senior Backend Engineer (Remote)

Nashville, TN · Remote

Be a Nimble Learner by actively learning through experimentation when tackling new problems, using ... engineer * Proficient in Django Office Requirements: * We are a fully distributed team (100% remote ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Deep understanding of distributed systems, data partitioning strategies, concurrency, and cluster ...

Tithely

Senior Platform Engineer

Nashville, TN · On-site +1

$125K - $145K/yr

Remote - USA Compensation: $125,000 - $145,000 / year Description As a Senior Platform Engineer ... Be a Nimble Learner by actively learning through experimentation when tackling new problems, using ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Deep understanding of distributed systems, data partitioning strategies, concurrency, and cluster ...

Crowe LLP

Senior AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Deep proficiency in Python, ML frameworks, and cloud-native engineering * Strong understanding of ...

Revecore

Senior Data Engineer-JT0224

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

General Motors

Senior AI/ML Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Level up how ML teams work with data Develop automation and tooling that give ML engineers deep ...

next page

Showing results 1-20

All JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Tennessee

Remote Deep Learning Engineer information

See Tennessee salary details

$10K

$76.1K

$127.1K

How much do remote deep learning engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote deep learning engineer 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.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What are popular job titles related to Remote Deep Learning Engineer jobs in Tennessee? For Remote Deep Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Tennessee look for? The top searched job categories for Remote Deep Learning Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Deep Learning Engineer jobs? Cities in Tennessee with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you

Full Stack Engineer

NxT Level

Nashville, TN • Remote

Other

Posted yesterday

Job description

Senior Full-Stack Engineer (Rails Monolith + React)

Location: Remote (U.S.)

About Our Client

Our client builds software that powers mission-critical construction lending workflows. The platform is mature, used by real customers, and sits at the intersection of complex operational processes, payments, approvals, and data accuracy. This team values pragmatic builders who can ship, iterate, and improve legacy systems without breaking what already works.

The Role

Our client is hiring a Senior Full-Stack Engineer who has shipped and maintained production applications, someone comfortable moving across database design, API development, backend architecture, and front-end product work.

You’ll help define and build new platform capabilities on top of a 6-year-old Rails monolith, improving and extending it with modern patterns while balancing speed, quality, and business constraints.

What You’ll Do

  • Collaboratively define, scope, and architect new platform capabilities on top of a mature Rails monolith
  • Extend and improve legacy systems—adding payments, integrations, and new features in a way that’s seamless, secure, and scalable
  • Work directly with databases: write/optimize SQL, design schema migrations, and ensure API payloads are efficient and well-structured
  • Build and maintain web features using React, Hotwire, TypeScript, Tailwind (and potentially mobile-facing work in React Native)
  • Manage background processing and system reliability using Sidekiq—taking a pragmatic approach to infrastructure without overbuying vendor tooling
  • Identify fragile legacy implementations and propose practical migration paths that balance engineering quality with business reality
  • Help establish engineering culture, conventions, and development practices as the team scales
  • Communicate proactively in a fully remote, high-velocity environment—thinking out loud, asking the right questions, and collaborating through conversation

What Our Client Is Looking For

Required

  • 6+ years of professional full-stack engineering experience (exceptional 4–5 years considered)
  • Strong Ruby on Rails experience, including working inside a mature monolith
  • Comfortable working across backend + frontend, with strong product instincts
  • Solid database fundamentals: schema design, migrations, query optimization, and API efficiency
  • Experience building reliable systems: background jobs, queues, retries, and failure handling (Sidekiq or similar)
  • Clear communicator who thrives in ambiguity and can reason out loud

Bonus Points

  • Experience in construction, fintech, proptech, or any domain requiring deep business learning to build the right product
  • Experience with React Native or mobile-adjacent product surfaces
  • Experience integrating payments and third-party systems in production

Why This Role

  • High-ownership work on a platform that matters—real customers, real workflows, real outcomes
  • Meaningful engineering challenges: improving a mature codebase, scaling reliability, and modernizing without “rewrite theater”
  • Strong influence on architecture, standards, and how the team builds as it grows
  • Remote culture that rewards proactive communication and practical execution

Apply