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Remote Deep Learning Engineer Jobs in Atlanta, GA

Fetcherr

VP Engineering

Atlanta, GA · On-site +1

$173K - $223K/yr

Description Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading ... Lead a local team while collaborating with remote and distributed teams , fostering alignment ...

Dorabot Inc

Technical Recruiter

Peachtree Corners, GA · Remote

$50K - $65K/yr

... deep learning, motion planning, grasp planning, navigation, and SLAM technologies. Unique among early-stage startups, Dorabot employs engineers and business professionals from over 10 different ...

Dorabot Inc

Technical Recruiter

Peachtree Corners, GA · Remote

$50K - $65K/yr

... deep learning, motion planning, grasp planning, navigation, and SLAM technologies. Unique among early-stage startups, Dorabot employs engineers and business professionals from over 10 different ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

... engineers, platform engineers, data scientists and many more, enabling you to level up in true end ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

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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 Jul 5, 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 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $80,669 per year, or $38.8 per hour.

VP Engineering

Fetcherr

Atlanta, GA • On-site, Remote

$173K - $223K/yr

Full-time

Posted 16 days ago

Job description

Description
Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.
As VP Engineering, you will serve as a senior technical and organizational leader, helping to scale Fetcherr's data-driven products and engineering capabilities. This is a hybrid role combining technical authority, strategic vision, and operational excellence. You will co-lead the R&D organization, work directly with customers, and be instrumental in shaping cross-functional, product-focused engineering teams.
We're looking for a leader who's both visionary and hands-on, able to drive execution, foster innovation, and build high-performance engineering cultures at scale.
Responsibilities:
Strategic & Technical Leadership
  • Act as a senior technical authority in data architecture, analytics, monitoring, and system design.
  • Report to the CTO and collaborate with Sr. peers to define and execute the company's technical roadmap.
  • Drive execution, innovation, process improvement, and change management across engineering and data science teams.
  • Scale the R&D team in line with Fetcherr's rapid growth.
  • Drive the effective usage of state of the art AI tools for improving productivity and scaling the team capabilities.

Engineering & Operational Excellence
  • Design and refine engineering processes to improve reliability, velocity, and quality.
  • Champion data quality, validation, and analytics engineering practices.
  • Deliver the commitments according to customer requirements and timelines.
  • Drive productivity and quality, also through the best practice leverage of AI tools and agentic coding.

Customer & Product Alignment
  • Serve as a technical interface to product management, understanding the customer needs and translating them into product development execution and technical strategies.
  • Represent R&D in customer discussions, guiding prioritization and product development with a real-world impact lens.

People & Culture
  • Lead a local team while collaborating with remote and distributed teams, fostering alignment, engagement, and accountability.
  • Promote a collaborative, analytical and data driven, hands-on culture across engineering, data science, and product.
  • Partner closely with product and data stakeholders to deliver scalable, production-grade AI solutions.

Requirements
Leadership & Management
  • 2+ years managing team leads in a VP role.
  • Experience growing R&D teams at a startup or high-growth tech company.
  • Proven ability to lead cross-functional teams.
  • Proven ability to align with other teams in the R&D organization, especially remote teams.

Technical Depth
  • Strong background in data engineering, analytics and data science.
  • Proven experience in cloud-native architectures (preferably GCP).
  • Experience in scaling systems, improving CI/CD,
  • Big plus: working with ML or real-time data products.

Communication & Influence
  • Ability to motivate, mentor, and grow high-performing teams, promoting accountability and extreme ownership throughout the teams.
  • Strong communicator who can align technical and business stakeholders.
  • Excellent English skills (spoken and written) - able to clearly communicate with global teams, customers, and leadership.
  • Comfortable engaging directly with customers, partners, and executives.

Mindset & Approach
  • Hands-on and detail-oriented, with a "roll up your sleeves" attitude.
  • Strategic thinker who can balance short-term wins with long-term scalability.
  • Passion for building impactful, AI-driven products.

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