... and reinforcement learning, to solve complex signal processing problems and field innovative ... Remote work arrangements may also be considered for qualified candidates. #LMLAIC
... and reinforcement learning, to solve complex signal processing problems and field innovative ... Remote work arrangements may also be considered for qualified candidates. #LMLAIC
Software Engineer - AI Specialist | Remote
Dallas, TX · On-site +1
Experience with reinforcement learning and generative AI models. Familiarity with AI ethics, bias mitigation, and explainability techniques. Contribution to open-source AI projects. Understanding of ...
Software Engineer - AI Specialist | Remote
Dallas, TX · On-site +1
Experience with reinforcement learning and generative AI models. Familiarity with AI ethics, bias mitigation, and explainability techniques. Contribution to open-source AI projects. Understanding of ...
Ex-MBB Strategy Consultant - AI Training (Remote)
Dallas, TX · Remote
$60/hr
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning ... This is a remote, project-based, individual-contributor role focused on analytical design and ...
Ex-MBB Strategy Consultant - AI Training (Remote)
Dallas, TX · Remote
$60/hr
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning ... This is a remote, project-based, individual-contributor role focused on analytical design and ...
Senior AI/ML Engineer - Hybrid
Irving, TX · On-site +1
$87K - $151K/yr
Derive datadriven insights using supervised, unsupervised, reinforcement learning, and deep ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...
Senior AI/ML Engineer - Hybrid
Irving, TX · On-site +1
$87K - $151K/yr
Derive datadriven insights using supervised, unsupervised, reinforcement learning, and deep ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...
Experience with reinforcement learning, LLM agents, or AI evaluation workflows. * Experience operating in private network, restricted, or air-gapped environments. * Experience with NoSQL, object ...
Quick apply
Experience with reinforcement learning, LLM agents, or AI evaluation workflows. * Experience operating in private network, restricted, or air-gapped environments. * Experience with NoSQL, object ...
Experience with LLM or reinforcement learning evaluation workflows. * Experience with data visualization, metrics dashboards, or analytics reporting. * Experience with containerized applications and ...
Quick apply
Experience with LLM or reinforcement learning evaluation workflows. * Experience with data visualization, metrics dashboards, or analytics reporting. * Experience with containerized applications and ...
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
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
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
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
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
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
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
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
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
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
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
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
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
MANAGER FIELD TRAINING
Plano, TX · Remote
... learning, and field reinforcement tools). * Partner with Leadership to identify training needs ... Proven track record in curriculum design and facilitation for remote and field-based teams.
Remote.Candidates must be available during U.S. Pacific business hours and possess excellent spoken ... You believe great coaching includes reinforcement, inspection, accountability, and follow-through ...
Quick apply
Remote.Candidates must be available during U.S. Pacific business hours and possess excellent spoken ... You believe great coaching includes reinforcement, inspection, accountability, and follow-through ...
Field Sales Trainer - PNS
Dallas, TX · Remote
The Field Sales Trainer is responsible for facilitating learning of product and clinical knowledge ... Improve overall sales effectiveness/capacity through resource reinforcement and creation.
Field Sales Trainer - PNS
Dallas, TX · Remote
The Field Sales Trainer is responsible for facilitating learning of product and clinical knowledge ... Improve overall sales effectiveness/capacity through resource reinforcement and creation.
Remote Reinforcement Learning information
See Dallas, TX salary details
$21.6K is the 25th percentile. Wages below this are outliers.
$10.9K - $22.5K
27% of jobs
$22.5K - $34.1K
0% of jobs
$34.1K - $45.7K
0% of jobs
$45.7K - $57.3K
0% of jobs
$57.3K - $68.9K
0% of jobs
The median wage is $79.5K / yr.
$68.9K - $80.5K
25% of jobs
$80.5K - $92.1K
18% of jobs
$100.4K is the 75th percentile. Wages above this are outliers.
$92.1K - $103.7K
7% of jobs
$103.7K - $115.3K
2% of jobs
$115.3K - $126.9K
0% of jobs
$126.9K - $138.5K
21% of jobs
$10.9K
$83K
$138.5K
How much do remote reinforcement learning jobs pay per year?
As of Jul 27, 2026, the average yearly pay for remote reinforcement learning in Dallas, TX is $82,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $137,500.00 per year, depending on experience, location, and employer.
What is a Remote Reinforcement Learning job?
A Remote Reinforcement Learning job involves developing and applying reinforcement learning algorithms while working from a location outside of a traditional office environment. Professionals in this field focus on creating systems where agents learn optimal behaviors through trial and error, often using feedback from their environment. These jobs typically require expertise in machine learning, programming, and mathematics, and are commonly found in industries like robotics, gaming, and autonomous systems. Working remotely allows researchers and engineers to collaborate with global teams using digital tools and platforms.
What are the key skills and qualifications needed to thrive as a Remote Reinforcement Learning Engineer, and why are they important?
To thrive as a Remote Reinforcement Learning Engineer, you need a strong background in machine learning, statistics, and programming (especially Python), often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and RL-specific libraries like OpenAI Gym, along with experience using cloud computing platforms, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication help individuals excel in distributed teams. These skills ensure the successful design, implementation, and deployment of reinforcement learning solutions while collaborating efficiently in a remote work environment.
What is the difference between Remote Reinforcement Learning vs Remote Machine Learning Engineer?
| Aspect | Remote Reinforcement Learning |
|---|---|
| Required Credentials | Master's or PhD in Computer Science, AI, or related fields; knowledge of RL algorithms |
| Work Environment | Research-focused, experimental, often involves simulation and algorithm development |
| Employer & Industry Usage | Tech companies, research labs, AI startups focusing on autonomous systems |
| Common Search & Comparison Intent | Understanding specialized AI roles, research focus, and technical skills |
Remote Reinforcement Learning specialists focus on developing algorithms that enable machines to learn through trial and error in simulated or real environments. In contrast, Remote Machine Learning Engineers typically work on deploying and optimizing various machine learning models across applications. While both roles require strong programming skills and knowledge of AI, reinforcement learning emphasizes decision-making processes, whereas machine learning engineering covers a broader range of models and deployment strategies.
What are common challenges faced when working remotely in a Reinforcement Learning role and how can they be addressed?
Working remotely in a Reinforcement Learning role often involves overcoming communication barriers with cross-functional teams, managing large-scale experiments without on-site resources, and staying updated with rapidly evolving research. To address these challenges, it's important to establish regular check-ins with colleagues, utilize cloud-based platforms for experiment management, and participate in virtual seminars or journal clubs. Developing strong self-motivation and time management skills is also crucial to maintain productivity in a remote environment.
What are popular job titles related to Remote Reinforcement Learning jobs in Dallas, TX? For Remote Reinforcement Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Reinforcement Learning jobs in Dallas, TX look for? The top searched job categories for Remote Reinforcement Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Reinforcement Learning jobs? Cities near Dallas, TX with the most Remote Reinforcement Learning job openings:
AI / Machine Learning Engineer Sr Staff (Signal Processing)
Fort Worth, TX • On-site, Remote
Other
Posted 16 hours ago
Lockheed Martin rating
8.2
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
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
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Benefits
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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