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Remote Deep Learning Engineer Jobs in Tennessee (NOW HIRING)

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 ...

Senior Platform Engineer

Nashville, TN ยท 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 ...

Senior Data Engineer

Franklin, TN ยท Remote

$102.20K - $138.90K/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 ...

EDI Test Automation Engineer

Nashville, TN ยท Remote

$44.50 - $58.75/hr

This role requires a deep understanding of healthcare EDI standards, compliance requirements, and ... Remote Position Count: 1 Submission Deadline: December 10 Required Skills * Strong hands-on ...

Senior Platform Engineer

Nashville, TN ยท Remote

$125K - $145K/yr

Be a Nimble Learner by actively learning through experimentation when tackling new problems, using ... Deep Terraform experience across multi-environment configurations * Experience with Kubernetes, ECS ...

Posting Type Remote/Hybrid Job Overview Relativity is aprivate equity-backed, legal data ... With a culture that values curiosity, collaboration, and continuous learning, this is your chance ...

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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 May 30, 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.

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.

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 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 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 cities in Tennessee are hiring for Remote Deep Learning Engineer jobs? Cities in Tennessee with the most Remote Deep Learning Engineer job openings:
Principal Agentic Engineer - Remote - USA

Principal Agentic Engineer - Remote - USA

FullStack Labs

Nashville, TN โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 hours ago


Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Principal Agentic Engineer to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone who doesn't just build, but defines the architecture of how global enterprises adopt agentic workflows. You will serve as a strategic consultant and technical lead, helping regulated industries and Fortune 500 clients transition from traditional development to AI-augmented engineering productivity.
What We Are Looking For
  • 8-10+ years of professional software development experience with a deep understanding of full-stack architectures (e.g., Java, Python, C#, React, Node, React Native, etc.).
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Proven experience as a Solution Architect or Principal Engineer, with the ability to assess current engineering states and define roadmaps for implementing agentic solutions.
  • Deep fluency in Agentic Tooling like Claude Code, Cursor, Codex, or GitHub Copilot, specifically within agentic workflows that coordinate implementation across large, multi-file systems.
  • Ability to engage with engineering leadership (CTOs, VPs of Engineering) to defend architectural decisions, consult on industry best practices, and measure ROI/Developer Productivity (Cycle Time, Lead Time).
  • Experience designing development processes where AI systems generate the majority of implementation code, while maintaining rigorous human-in-the-loop validation.
  • Strong skills in structuring codebases and specifications to produce reliable, context-efficient AI output.
  • Exceptional soft skills; ability to walk clients through complex proposals and represent the FullStack team with confidence.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership of your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack 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.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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