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Reinforcement Learning Robotics Jobs in Texas (NOW HIRING)

Senior AI Engineer

Coppell, TX · On-site

$96K - $132K/yr

... reinforcement learning. • Develop AI systems for Natural Language Processing (NLP). • ... for Robotics Process Automation (RPA). • Apply critical thinking to analyze AI outputs and ...

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation ...

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation ...

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation ...

Reinforcement learning, computer vision, planning * Systems: Real-time control, embedded software, robotics middleware Program Details We review applications on a rolling basis, so applying early is ...

Senior AI Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and ...

Senior AI Compiler Engineer

Austin, TX

$103K - $142K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and ...

... or reinforcement learning. - Publications in top-tier conferences or journals related to machine learning or robotics. - Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.

... or reinforcement learning. - Publications in top-tier conferences or journals related to machine learning or robotics. - Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.

... or reinforcement learning. - Publications in top-tier conferences or journals related to machine learning or robotics. - Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.

... Robotics, Computational Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

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Reinforcement Learning Robotics information

What are some common challenges faced when implementing reinforcement learning algorithms in robotics projects?

One common challenge in this role is bridging the gap between simulation and real-world environments, as algorithms that perform well in simulation may not translate directly to physical robots due to unpredictable variables and hardware limitations. Additionally, ensuring the safety and stability of the robot during training is crucial, since trial-and-error learning can sometimes result in unintended behaviors or hardware damage. Collaboration with hardware engineers and domain experts is often necessary to fine-tune models, interpret results, and iterate on solutions. Overcoming these challenges requires patience, adaptability, and strong communication skills within a multidisciplinary team.

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

To thrive as a Reinforcement Learning Robotics Engineer, you need a strong background in robotics, machine learning, and programming, typically supported by a degree in computer science, engineering, or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience with simulation environments (such as Gazebo or ROS), and familiarity with reinforcement learning algorithms are essential. Strong problem-solving skills, creativity, and effective communication set standout professionals apart in this rapidly evolving field. These skills enable engineers to develop intelligent robotic systems that adapt and learn efficiently, driving innovation and practical deployment in real-world environments.

What is reinforcement learning in robotics?

Reinforcement learning in robotics refers to a type of machine learning where robots learn to perform tasks through trial and error, receiving feedback from their actions in the form of rewards or penalties. This approach allows robots to autonomously develop complex behaviors by interacting with their environment, rather than relying solely on pre-programmed instructions. Reinforcement learning is especially useful for tasks that are difficult to model explicitly, such as walking, grasping, or navigation. Over time, the robot improves its performance by maximizing the cumulative reward, leading to more efficient and adaptive behaviors.

What is the difference between Reinforcement Learning Robotics vs Machine Learning Engineer?

AspectReinforcement Learning RoboticsMachine Learning Engineer
Required CredentialsDegree in Robotics, Computer Science, or related fields; knowledge of reinforcement learningDegree in Computer Science, Data Science, or related fields; expertise in machine learning algorithms
Work EnvironmentRobotics labs, manufacturing, autonomous systemsTech companies, data-driven projects, software development
Industry UsageAutonomous robots, industrial automation, researchData analysis, predictive modeling, AI applications

Reinforcement Learning Robotics focuses on applying reinforcement learning techniques to control and optimize robotic systems, often in physical environments. Machine Learning Engineers develop algorithms for a broad range of applications, including data analysis and predictive modeling. While both roles require knowledge of machine learning, Reinforcement Learning Robotics emphasizes robotics and real-world interaction, whereas Machine Learning Engineers work across various industries with software-based solutions.

What are popular job titles related to Reinforcement Learning Robotics jobs in Texas? For Reinforcement Learning Robotics jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Reinforcement Learning Robotics jobs? Cities in Texas with the most Reinforcement Learning Robotics job openings:
Senior AI Engineer

Senior AI Engineer

Compunnel

Coppell, TX • On-site

$96K - $132K/yr

Contractor

Posted 23 days ago


Job description

JOB SUMMARYSeeking a Sr. AI Engineer with deep expertise in building AI-driven and agentic automation solutions. This role involves designing and developing scalable services that leverage advanced reasoning, workflow orchestration, and multi-agent systems, with a strong emphasis on experience with LangGraph, IBM Watsonx Orchestrate, and Google Vertex AI.
Key Responsibilities• Implement AI-driven and agentic automation solutions.
• Design scalable services incorporating advanced reasoning and workflow orchestration.
• Develop multi-agent systems.
• Utilize expertise in LangGraph, including graphs, tool-nodes, memory/state, and streaming agents.
• Employ experience with IBM Watsonx Orchestrate, including skills, connectors, and process automation.
• Leverage Google Vertex AI, including Gemini, RAG, Vector Search, embeddings, and safety features.
• Work with vector databases such as PGVector, Vertex Matching Engine, and Pinecone.
• Familiarity with Kafka or Pub/Sub eventing patterns.
• Implement and maintain observability stacks: OpenTelemetry, Prometheus/Grafana, Elk/Cloud Logging.
• Utilize infrastructure-as-code tools like Terraform.
• Manage CI/CD pipelines using GitHub Actions and Cloud Build.
• Understand AI models, neural networks, and reinforcement learning.
• Develop AI systems for Natural Language Processing (NLP).
• Understand multi-agent system collaboration and operation.
• Deploy AI models using cloud platforms like AWS, Google Cloud, or Azure.
• Design AI-driven bots for Robotics Process Automation (RPA).
• Apply critical thinking to analyze AI outputs and improve models.
• Ensure ethical and unbiased decision-making in AI applications.
• Address unexpected AI behaviors and optimize performance.
• Collaborate across teams to integrate AI systems.
Required Qualifications• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field.
• 5+ years of experience with Java.
• 5+ years of strong experience in AI/ML.
• Experience with LangGraph (graphs, tool-nodes, memory/state, streaming agents).
• Experience with IBM Watsonx Orchestrate (skills, connectors, process automation).
• Experience with Google Vertex AI (Gemini, RAG, Vector Search, embeddings, safety).
• Knowledge of vector databases (PGVector, Vertex Matching Engine, Pinecone).
• Familiarity with Kafka or Pub/Sub eventing patterns.
• Experience with Observability stacks: OpenTelemetry, Prometheus/Grafana, Elk/Cloud Logging.
• Experience with Infrastructure-as-code (Terraform).
• Experience with GitHub Actions and Cloud Build.
• Understanding of AI models, neural networks, and reinforcement learning.
• Experience in Natural Language Processing (NLP).
• Understanding of Multi-Agent Systems.
• Experience with Cloud Computing & AI Deployment (AWS, Google Cloud, or Azure).
• Experience with Robotics Process Automation (RPA).
• Proficient in Java and Python.
• Critical thinking and problem-solving skills.
Preferred Qualifications• Chatbot development experience.
• IBM WatsonX Platform experience.

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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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