ZipRecruiter

Log In

2

Remote Deep Learning Engineer Jobs (NOW HIRING)

Booz Allen Hamilton

Agentic AI Machine Learning Engineer

$84K - $112K/yr

... Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex • Experience in connecting Agents to APIs, Cloud ...

Reddit, Inc.

Machine Learning Engineer

They are seeking a Machine Learning Engineer to design and implement advanced ML systems, improve ... Deep Learning theory and algorithms • Analysis of large-scale datasets • Design and ...

Azumo

Data Scientist, Applied AI - Remote

... deep learning techniques such as CNNs and Transformers , and hands-on experience working with PyTorch . We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data ...

Thatgamecompany

Senior Machine Learning Engineer

$120K - $205K/yr

Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and ... Have deep passion for video games and think on behalf of our players * Be curious, a problem solver ...

Terra AI

Senior/Staff Machine Learning Engineer

$107K - $146K/yr

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise ... We are looking for a talented deep learning engineer or scientist to lead the development of this ...

Beacon Biosignals

Algorithm Engineer

Required : • You have more than 4 years of industry experience in machine learning and deep ... software and ML engineering, including testing, version control, code reviews, documentation ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Advanced familiarity with modern computer vision and deep learning architectures, including Vision ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Strong understanding of various machine learning algorithms,Large Language Models, and deep ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

HubSpot

Principal Machine Learning Engineer

Have expert understanding of a range of ML techniques, such as deep learning, optimization ... Whether you're a Remote employee or work from the Office, we want you to start your journey here by ...

New

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Strong understanding of various machine learning algorithms,Large Language Models, and deep ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

next page

Showing results 1-20

All JobsRemote Deep Learning Engineer Jobs

Remote Deep Learning Engineer information

See salary details

$11K

$83.9K

$140K

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

As of Jun 28, 2026, the average yearly pay for remote deep learning engineer in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 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.
More about Remote Deep Learning Engineer jobs
What cities are hiring for Remote Deep Learning Engineer jobs? Cities with the most Remote Deep Learning Engineer job openings:
What are the most commonly searched types of Deep Learning Engineer jobs? The most popular types of Deep Learning Engineer jobs are:
What states have the most Remote Deep Learning Engineer jobs? States with the most job openings for Remote Deep Learning Engineer jobs include:
What job categories do people searching Remote Deep Learning Engineer jobs look for? The top searched job categories for Remote Deep Learning Engineer jobs are:
Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.
Agentic AI Machine Learning Engineer

Agentic AI Machine Learning Engineer

Booz Allen Hamilton

Remote

$84K - $112K/yr

Full-time

Posted 17 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is looking for an experienced machine learning engineer to create AI and ML enabled solutions for the Defense and Intelligence sectors. The role involves designing, implementing, and optimizing AI systems to enhance data accessibility and operational efficiency.
Responsibilities:
• design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems
• ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
Qualifications:
Required:
• 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
• 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data
• 3+ years of experience working in cloud environments, including AWS and Azure
• 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
• Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
• Experience in connecting Agents to APIs, Cloud platforms, or databases
• Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix
• Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
• TS/SCI clearance
• Bachelor’s degree
Preferred:
• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
• Experience with client engagements, client-facing project work, and business development
• Experience with project work in deep learning, computer vision, NLP, or signal processing
• Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services
• Ability to adapt in a rapidly changing environment
• Possession of excellent verbal and written communication skills
• Possession of excellent interpersonal, analytical, problem-solving, and organizational skills
• TS/SCI clearance with a polygraph
• Master's degree
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

View All Booz Allen Hamilton Jobs

Apply