ZipRecruiter

Log In

2

Remote Deep Learning Jobs in Lancaster, TX (NOW HIRING)

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Kemper

Senior Data Engineer

Dallas, TX · Remote

$104K - $142K/yr

... PA, Remote-RI, Remote-VA, St. Louis, Missouri Details Kemper is one of the nation's leading ... This role requires deep technicalexpertisewith Snowflake,Core AWS Services, cloud-based ...

next page

Showing results 1-20

All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Lancaster, TX

Remote Deep Learning information

See Lancaster, TX salary details

$10.4K

$79.5K

$132.7K

How much do remote deep learning jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote deep learning in Lancaster, TX is $79,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $131,800.00 per year, depending on experience, location, and employer.

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

How can I make $100,000 a year working from home?

A remote deep learning professional can reach a $100,000 annual income by gaining advanced skills in machine learning frameworks, building a strong portfolio, and working for companies that offer competitive salaries or freelance projects. Earning this level often requires experience, specialized knowledge, and the ability to deliver high-quality models efficiently. Certifications in deep learning and proficiency with tools like Python, TensorFlow, or PyTorch can also enhance earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

Which 3 jobs will survive AI?

In the field of remote deep learning, roles such as data scientists, machine learning engineers, and AI research scientists are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation by AI systems. Continuous learning and staying updated with new tools and techniques are essential for long-term career stability in this area.

How to make $1000 a week remotely?

Remote deep learning professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building a strong portfolio, acquiring relevant skills in Python and machine learning frameworks, and obtaining certifications can help increase earning potential. Consistent work and specialized expertise are key to reaching this income level remotely.

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 strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What job categories do people searching Remote Deep Learning jobs in Lancaster, TX look for? The top searched job categories for Remote Deep Learning jobs in Lancaster, TX are:
What cities near Lancaster, TX are hiring for Remote Deep Learning jobs? Cities near Lancaster, TX with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you

AI / Machine Learning Engineer Sr Staff (Signal Processing)

Lockheed Martin Corporation

Fort Worth, TX • On-site, Remote

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 389 frontline employees who took The Breakroom Quiz

37th of 71 rated aerospace companies

Job description

We are seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you will play a critical role in developing technologies and products that leverage Artificial Intelligence to provide discriminating signal processing capabilities to our customers. You will work on a broad range of projects across the LAIC, from low Technical Readiness Level research to deployment and will be responsible for leading critical technical projects.
Key Responsibilities:
Develop and Apply AI Technologies
Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal processing problems and field innovative solutions.
Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test.
Take ownership of critical tasks and lead technical teams to deliver high-quality solutions.
Participate in the development of proposals and whitepapers to secure funding for AI research and development projects
Technical Leadership and Mentorship:
Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise.
Provide guidance and support to team members to ensure successful project execution.
Collaboration and Communication:
Work collaboratively with cross-functional teams to develop and deploy AI solutions.
Communicate complex technical concepts and solutions to non-technical stakeholders.
Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.
Technical Skills:
Strong background in software engineering, artificial intelligence, and machine learning.
Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical)
Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning.
Proficiency in programming languages such as Python, Java, or C++.
Soft Skills:
Self-motivation, strong work ethic, and time management skills.
Excellent interpersonal and communication skills.
Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application
Education and Experience:
Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics.
8+ years of experience in AI or a related field.
What We Offer:
Opportunity to Work on High-Impact Projects:
Work on a broad range of projects across the LAIC, from low TRL research to deployment.
Develop and apply AI technologies to solve complex problems and field innovative solutions.
Collaborative and Dynamic Work Environment:
Work collaboratively with cross-functional teams to develop and deploy AI solutions.
Participate in a fast-paced and dynamic work environment with a focus on innovation and experimentation.
Professional Development and Growth Opportunities:
Opportunities for professional growth and development in AI and related fields.
Mentorship and guidance from experienced engineers and leaders.
The preferred work locations for this position are Lockheed Martin facilities in Fort Worth, TX, or Palmdale, CA. Remote work arrangements may also be considered for qualified candidates.
#LMLAIC

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Lockheed Martin logo

About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

View All Lockheed Martin Jobs

Apply