Experience with Deep neural networks and reinforcement learning is a plus Solid math background and understanding of algorithms and data structures Experience with current deep learning frameworks ...
Experience with Deep neural networks and reinforcement learning is a plus Solid math background and understanding of algorithms and data structures Experience with current deep learning frameworks ...
... using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus Experience with Spark, TensorFlow, Keras, and PyTorch a plus Skilled in ...
... using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus Experience with Spark, TensorFlow, Keras, and PyTorch a plus Skilled in ...
Experience with Deep neural networks and reinforcement learning is a plus Solid math background and understanding of algorithms and data structures Experience with current deep learning frameworks ...
Experience with Deep neural networks and reinforcement learning is a plus Solid math background and understanding of algorithms and data structures Experience with current deep learning frameworks ...
Senior Machine Learning Scientist, Advertising
Austin, TX · On-site
$120 - $150/hr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... Published paper(s) on deep learning models for Advertising or related areas * Excellent ...
Senior Machine Learning Scientist, Advertising
Austin, TX · On-site
$120 - $150/hr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... Published paper(s) on deep learning models for Advertising or related areas * Excellent ...
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus
Robotics Machine Learning Engineer
Houston, TX · On-site
$120 - $180/hr
Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.) * Experience with cloud ... cloning for manipulation, reinforcement learning for locomotion, world models, etc.
Robotics Machine Learning Engineer
Houston, TX · On-site
$120 - $180/hr
Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.) * Experience with cloud ... cloning for manipulation, reinforcement learning for locomotion, world models, etc.
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks * Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization)
Quick apply
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks * Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization)
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks * Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization)
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks * Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization)
Staff Applied Scientist - Machine Learning
Austin, TX · Hybrid
$470K - $615K/yr
Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks * Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization)
Staff Applied Scientist - Machine Learning
Austin, TX · Hybrid
$470K - $615K/yr
Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks * Bayesian Modelling & Probabilistic Methods * Reinforcement Learning (Contextual Bandits, Policy Optimization)
Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented ...
Quick apply
Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented ...
Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented ...
Bring deep mastery in agentic AI systems, from building autonomous agents and crafting reinforcement learning solutions to deploying adaptive algorithms and cutting-edge tech like Retrieval-Augmented ...
SoC Machine Learning Design Engineer
Austin, TX · On-site
$120 - $160/hr
Experience with Deep neural networks and reinforcement learning is a plus * Solid math background and understanding of algorithms and data structures * Experience with current deep learning ...
SoC Machine Learning Design Engineer
Austin, TX · On-site
$120 - $160/hr
Experience with Deep neural networks and reinforcement learning is a plus * Solid math background and understanding of algorithms and data structures * Experience with current deep learning ...
Whether leveraging reinforcement learning, imitation learning, teleoperation retargeting, or ... Deep expertise in multi-fingered hand control, grasp planning, and in-hand manipulation, with a ...
Whether leveraging reinforcement learning, imitation learning, teleoperation retargeting, or ... Deep expertise in multi-fingered hand control, grasp planning, and in-hand manipulation, with a ...
WatsonX Assistant
Coppell, TX · On-site
... Deep Learning - Understanding AI models, neural networks, and reinforcement learning 2. Natural Language Processing (NLP) - Developing AI systems that interpret and generate human language 3. Multi ...
WatsonX Assistant
Coppell, TX · On-site
... Deep Learning - Understanding AI models, neural networks, and reinforcement learning 2. Natural Language Processing (NLP) - Developing AI systems that interpret and generate human language 3. Multi ...
Senior ML Engineer
$101K - $138K/yr
Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Experience with cloud platforms such as ...
Senior ML Engineer
$101K - $138K/yr
Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Experience with cloud platforms such as ...
Gen AI Engineer
Plano, TX · On-site
$40 - $50/hr
Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate ... Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback ...
Quick apply
Gen AI Engineer
Plano, TX · On-site
$40 - $50/hr
Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate ... Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback ...
Machine Learning Engineer
San Antonio, TX · On-site
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...
Machine Learning Engineer
San Antonio, TX · On-site
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...
Research Scientist, Learnable Planner
Dallas, TX · On-site +1
$158K - $269K/yr
You will... - Design and execute on a research agenda for deep-learning based motion planning for ... reinforcement learning, planning and search, perception and prediction, simulation, foundation ...
Quick apply
Research Scientist, Learnable Planner
Dallas, TX · On-site +1
$158K - $269K/yr
You will... - Design and execute on a research agenda for deep-learning based motion planning for ... reinforcement learning, planning and search, perception and prediction, simulation, foundation ...
Machine Learning Engineer
San Antonio, TX · On-site
$110 - $150/hr
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...
New
Machine Learning Engineer
San Antonio, TX · On-site
$110 - $150/hr
SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...
New
Deep Reinforcement Learning information
See Texas salary details
$26.6K - $30.9K
2% of jobs
$30.9K - $35.3K
3% of jobs
$35.3K - $39.6K
6% of jobs
$39.6K - $44K
3% of jobs
$47.9K is the 25th percentile. Wages below this are outliers.
$44K - $48.4K
12% of jobs
The median wage is $52.5K / yr.
$48.4K - $52.7K
25% of jobs
$52.7K - $57.1K
12% of jobs
$57.1K - $61.4K
9% of jobs
$62.3K is the 75th percentile. Wages above this are outliers.
$61.4K - $65.8K
12% of jobs
$65.8K - $70.2K
11% of jobs
$70.2K - $74.5K
5% of jobs
$26.6K
$54.4K
$74.5K
How much do deep reinforcement learning jobs pay per year?
As of Aug 14, 2026, the average yearly pay for deep reinforcement learning in Texas is $54,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $63,400.00 per year, depending on experience, location, and employer.
What does a typical day look like for someone working in deep reinforcement learning?
A typical day for a Deep Reinforcement Learning professional involves designing algorithms, running experiments, analyzing results, and optimizing models to improve performance. You may collaborate regularly with data scientists, software engineers, and domain experts to integrate RL solutions into larger systems or products. Tasks often include reading the latest research, contributing to code reviews, and documenting findings while troubleshooting technical challenges. This dynamic environment encourages continuous learning and teamwork, ensuring you stay at the forefront of AI innovation.
What is deep reinforcement learning?
A Deep Reinforcement Learning (DRL) job involves researching, developing, and applying AI models that use reinforcement learning techniques combined with deep learning. Professionals in this role design algorithms that enable agents to learn optimal decision-making policies through trial and error. Common applications include robotics, game AI, autonomous systems, and financial modeling. This job typically requires expertise in machine learning, neural networks, and programming languages like Python, along with frameworks such as TensorFlow or PyTorch.
What are the key skills and qualifications needed to thrive in deep reinforcement learning?
To thrive in Deep Reinforcement Learning, you need expertise in machine learning, programming (Python, TensorFlow, or PyTorch), and applied mathematics, often supported by an advanced degree in computer science or a related field. Familiarity with version control systems, cloud computing platforms, and relevant certifications in AI or data science are valuable assets. Strong problem-solving abilities, collaboration, and effective communication are important soft skills in this position. These skills are essential for developing, implementing, and iterating cutting-edge algorithms that solve complex real-world problems in dynamic environments.
What are the most commonly searched types of Deep Reinforcement Learning jobs in Texas?
The most popular types of Deep Reinforcement Learning jobs in Texas are:
What are popular job titles related to Deep Reinforcement Learning jobs in Texas?
For Deep Reinforcement Learning jobs in Texas, the most frequently searched job titles are:
- Artificial Intelligence Cognitive Science
- Cyber Security Researcher
- Azure Openai
- Manager Applied Intelligence
- Entry Level Artificial Intelligence Research Scientist
- Remote Terrorism Research
- Artificial Intelligence Data Scientist
- Deepseek
- Artificial Intelligence Operator
- Director Artificial Intelligence Analyst
What job categories do people searching Deep Reinforcement Learning jobs in Texas look for?
The top searched job categories for Deep Reinforcement Learning jobs in Texas are:
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our SoC design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning to improve productivity and optimizations across several SoC design related functions spanning from design to validation.
Description
- As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.
- Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip-design process.
- You'll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
- You will collaborate closely with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and tailor machine learning solutions to these domains.
- As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state-of-the-art.
- Prior leadership experience a plus.
Minimum Qualifications
Minimum of BS + 10 years relevant industry experience.
Preferred Qualifications
Practical experience and knowledge of generative AI and modern machine learning methods.
Experience with any of the following: RAG systems including embedding models, retrieval strategies, and context optimization techniques. Generative AI pipeline development. AI evaluation and testing proficiency including designing test suites and implementing human evaluation frameworks. Experience with AI coding assistants. Experience with AI infrastructure protocols such as MCP.
Experience with Deep neural networks and reinforcement learning is a plus
Solid math background and understanding of algorithms and data structures
Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX
Experience with hardware description languages like Verilog, SystemVerilog or VHDL.
Experience with Chip design and verification front end flows is a plus: Working verification experience with UVM testbenches. Working experience with front-end tools such as Static timing analysis and CDC/RDC.
Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams
Master's or PhD with relevant publications preferred but not required.
Description
- As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.
- Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip-design process.
- You'll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
- You will collaborate closely with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and tailor machine learning solutions to these domains.
- As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state-of-the-art.
- Prior leadership experience a plus.
Minimum Qualifications
Minimum of BS + 10 years relevant industry experience.
Preferred Qualifications
Practical experience and knowledge of generative AI and modern machine learning methods.
Experience with any of the following: RAG systems including embedding models, retrieval strategies, and context optimization techniques. Generative AI pipeline development. AI evaluation and testing proficiency including designing test suites and implementing human evaluation frameworks. Experience with AI coding assistants. Experience with AI infrastructure protocols such as MCP.
Experience with Deep neural networks and reinforcement learning is a plus
Solid math background and understanding of algorithms and data structures
Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX
Experience with hardware description languages like Verilog, SystemVerilog or VHDL.
Experience with Chip design and verification front end flows is a plus: Working verification experience with UVM testbenches. Working experience with front-end tools such as Static timing analysis and CDC/RDC.
Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams
Master's or PhD with relevant publications preferred but not required.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976