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Remote Deep Learning Engineer Jobs in Atlanta, GA

SynergisticIT

AI / ML Engineer

Atlanta, GA · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Scientists & Machine Learning Engineers * Data Engineers * Required & Preferred Skills * Java ...

IPA

Corporate Learning & Development Manager

Duluth, GA · On-site +1

Hybrid (M-F: 3 days on-site, 2 days remote) OR Remote Salary: $100,000-$110,000 + Bonus Eligible ... Enterprise Leadership Development Programming * Architect and execute a scalable, enterprise-wide ...

ICF

Lead Substation Physical Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

Remote US Ready to make a difference? ICF is seeking an experienced Substation Physical Engineer to ... This role requires a deep understanding of physical layout, bus design, equipment selection ...

ICF

Senior Transmission Line Engineer - REMOTE

Atlanta, GA · Remote

$100K - $138K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Committed to continuous learning and process improvement, consistently seeking opportunities to ...

Crowe LLP

Senior AI Engineer

Atlanta, GA · 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 ...

ImagineX Consulting

Senior Azure DevOps Engineer

Atlanta, GA · Remote

$125K - $160K/yr

Structured like a software company, not a traditional consultancy, we blend deep technical ... You\'ll enjoy working 100% remote in this full-time position. What You'll Do * Architect, implement ...

ImagineX Consulting

Senior Azure DevOps Engineer

Atlanta, GA · Remote

$133K - $170K/yr

Structured like a software company, not a traditional consultancy, we blend deep technical ... You'll enjoy working 100% remote in this full-time position. What You'll Do * Architect, implement ...

ImagineX Consulting

Senior Azure DevOps Engineer

Atlanta, GA · On-site +1

$127K - $163K/yr

Structured like a software company, not a traditional consultancy, we blend deep technical ... You'll enjoy working 100% remote in this full-time position. What You'll Do * Architect, implement ...

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Showing results 1-20

All JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Atlanta, GA

Remote Deep Learning Engineer information

See Atlanta, GA salary details

$10.6K

$80.7K

$134.6K

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

As of Jun 10, 2026, the average yearly pay for remote deep learning engineer in Atlanta, GA is $80,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $133,700.00 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 Atlanta, GA? For Remote Deep Learning Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Atlanta, GA look for? The top searched job categories for Remote Deep Learning Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Deep Learning Engineer jobs? Cities near Atlanta, GA with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in Atlanta, GA as of June 2026, with employment types broken down into 61% Full Time, 34% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $80,669 per year, or $38.8 per hour.
Senior Machine Learning Platform Engineer

Senior Machine Learning Platform Engineer

PrizePicks

Atlanta, GA • On-site, Remote

$160K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
As a Senior ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.
What you'll do:
  • Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services.
  • Real-Time Inference at Scale: Build automation for deploying low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
  • Feature Engineering & Data Strategy: You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
  • End-to-End MLOps: You will work with the Infrastructure team to build and operate core ML platform components for training and experimentation enablement considering developer experience. You will champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability for ML systems to ensure data drift and model degradation are caught and addressed instantly.
What you have:
  • 5+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments.
  • 2+ years of experience owning ML systems end-to-end in production, including on-call and incident response.
  • Experience with Real-Time Data, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
  • MLOps Expertise, deep experience building a platform for managing the full ML lifecycle (training, deploying, monitoring) using tools like SageMaker, VertexAI, Vector DBs, Graph Databases. Managing and scaling caches like Redis or Elasticsearch.
  • Proficient with Containerization, Docker, Kubernetes, and cluster-level management.
  • Expert in Python, proficiency in Go. C++, or Rust is a strong plus for building high-performance inference layers.
What makes you stand out:
  • Experience implementing infrastructure while enforcing best practices for the deployment of ML Platform.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.
  • Enabling self-service for ML and Data Science teams for model development and deployment.
  • Enabling AI agents and AI coding for faster and iterative software development.
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $160,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 4/27/2026
1st Extension: 5/27/2026
Benefits you'll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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