ZipRecruiter

Log In

2

Remote Reinforcement Learning Intern Jobs in Texas

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework ...

Ikonicsolution

Business Development Intern

Austin, TX · Remote

Sales Location: (Remote) About Us: IKONIC is a US-based IT company headquartered in Miami, Florida ... At IKONIC, internships are not just about learning, they are about launching your career. During ...

TimelyCare

Strategy and Operations Intern

Fort Worth, TX · Remote

$25/hr

... healthier learning environments. The Role As a Strategy & Operations Intern , you will work ... Location This is a remote position. Reviewing candidates across the country. Internship Schedule ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

Experience with reinforcement learning * Experience with large-scale ETL Preferred Qualifications ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

next page

Showing results 1-20

All JobsReinforcement Learning Intern JobsRemote Reinforcement Learning Intern JobsRemote Reinforcement Learning Intern Jobs in Texas

Remote Reinforcement Learning Intern information

What does a Remote Reinforcement Learning Intern do?

A Remote Reinforcement Learning Intern assists with research and development projects that focus on reinforcement learning, a type of machine learning where agents learn to make decisions by trial and error. Their tasks often include implementing algorithms, running experiments, analyzing results, and contributing to academic papers or practical applications. Working remotely, they collaborate with teams using online tools and communicate progress regularly. The role is ideal for students or recent graduates who want to gain hands-on experience in artificial intelligence and machine learning.

What are some common challenges faced by remote reinforcement learning interns, and how can they be overcome?

Remote reinforcement learning interns often encounter challenges related to communication and collaboration, especially when working with distributed teams. It can also be difficult to access computational resources or receive timely feedback on experiments. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, utilize collaborative tools (such as Slack or GitHub), and ensure a reliable internet connection. Additionally, keeping detailed documentation and being transparent about progress can help facilitate smoother teamwork and problem-solving.

What are the key skills and qualifications needed to thrive as a Remote Reinforcement Learning Intern, and why are they important?

To thrive as a Remote Reinforcement Learning Intern, you need a strong background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, typically demonstrated through coursework or relevant projects. Familiarity with reinforcement learning libraries (such as TensorFlow, PyTorch, or OpenAI Gym), version control systems like Git, and possibly cloud computing platforms is highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help interns excel in independent and collaborative tasks. These skills are essential for contributing to innovative research and development projects while working efficiently in a distributed team environment.
What are popular job titles related to Remote Reinforcement Learning Intern jobs in Texas? For Remote Reinforcement Learning Intern jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Reinforcement Learning Intern jobs in Texas look for? The top searched job categories for Remote Reinforcement Learning Intern jobs in Texas are:
What cities in Texas are hiring for Remote Reinforcement Learning Intern jobs? Cities in Texas with the most Remote Reinforcement Learning Intern job openings:
Remote Reinforcement Learning Intern jobs near you
Infographic showing various Remote Reinforcement Learning Intern job openings in Texas as of July 2026, with employment types broken down into 10% Internship, 1% As Needed, 54% Full Time, 31% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.
AI / Machine Learning Engineer Sr Staff (Signal Processing)

AI / Machine Learning Engineer Sr Staff (Signal Processing)

Lockheed Martin Corporation

Fort Worth, TX • On-site, Remote

Other

Posted 29 days ago

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