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Helper Reinforcement Learning Jobs in Texas (NOW HIRING)

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

This role will assist our Online Retail Decision Automation team by helping to research and develop ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

This role will assist our Online Retail Decision Automation team by helping to research and develop ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

This role will assist our Online Retail Decision Automation team by helping to research and develop ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

... help build intelligent systems that drive impactful business solutions. In this role, you will work ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

Apple

SoC Machine Learning Design Engineer

Austin, TX

$184K - $324K/yr

Come help us design the next generation of revolutionary Apple products. We are looking for a ... Experience with Deep neural networks and reinforcement learning is a plus Solid math background and ...

Apple

SoC Machine Learning Design Engineer

Austin, TX

$184K - $324K/yr

Come help us design the next generation of revolutionary Apple products. We are looking for a ... Experience with Deep neural networks and reinforcement learning is a plus Solid math background and ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Help build a first-class machine learning platform from the ground up which manages the entire ...

TSMC

Senior AI Model Fine-Tuning Engineer

Austin, TX · On-site

$103K - $142K/yr

... help the model produce more accurate, relevant, and coherent outputs. • Apply Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve the model ...

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All JobsHelper Reinforcement Learning JobsHelper Reinforcement Learning Jobs in Texas

Helper Reinforcement Learning information

What is the difference between Helper Reinforcement Learning vs Data Scientist?

AspectHelper Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of reinforcement learningDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, consulting firms, tech companies
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights
Common Search/ComparisonHelper Reinforcement Learning vs Data Scientist

Helper Reinforcement Learning focuses on developing algorithms that enable machines to learn through interactions, often requiring knowledge of reinforcement learning techniques. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve programming and data handling, Helper Reinforcement Learning is more specialized in AI algorithm development, whereas Data Scientists work broadly across data analysis and modeling in various industries.

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Helper Reinforcement Learning jobs near you
Advanced Analytics Research Scientist - Industrial Edge Intelligence

Advanced Analytics Research Scientist - Industrial Edge Intelligence

Rockwell Automation, Inc.

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Rockwell Automation rating

8.0

Company rating: 8.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

150th of 430 rated machine equipment manufacturers

Job description

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
Job Description
We are looking for a inventive AI engineer/scientist to help build the next generation of AI-native industrial automation systems powered by latest edge compute platforms.
You will focus on developing intelligent systems capable of real-time learning, reasoning, optimization, and autonomous operation. These systems operate directly within industrial environments, bringing advanced AI capabilities closer to machines, processes, and operational decision making. You will work at the convergence of edge AI, industrial automation, autonomous systems, embedded intelligence, and real-time operational analytics to help define how you design and operate future industrial systems.
This role focuses on redefining industrial automation through AI-native system design. The company embeds intelligence directly at the edge, making it capable of learning, adapting, and operating autonomously in real-world environments. You will work on frontier challenges involving real-time AI, autonomous operation, optimization, and industrial-scale deployment while helping shape the future of intelligent industrial infrastructure.
You will report to the Director AI and have a hybrid work schedule, working from Austin, TX
Responsibilities
  • Develop AI-native industrial systems capable of:
    • Real-time reasoning and decision making
    • Adaptive process optimization
    • Autonomous operational behaviors
    • Continuous learning from operational data
    • Intelligent coordination across distributed industrial assets
  • Design and deploy AI solutions on latest edge compute platforms with advanced CPU/GPU acceleration capabilities
  • Build architectures that combine:
    • Generative AI and small language models
    • Machine learning and reinforcement learning
    • Optimization and control systems
    • Streaming analytics and event-driven intelligence
    • Distributed and edge-native AI inference
  • Ensure low-latency AI execution directly within industrial environments while balancing performance, reliability, and operational constraints
  • Integrate AI capabilities with industrial automation systems, robotics platforms, sensors, controllers, and operational infrastructure
  • Collaborate with diverse teams spanning AI research, controls engineering, embedded systems, and industrial operations

The Essentials - You Will Have:
  • Bachelor's Degree in Relevant Field

The Preferred - You Might Also Have:
  • Typically requires 5+ years relevant experience
  • Background in the following:
    • Edge AI systems
    • Machine learning systems engineering
    • Autonomous systems
    • Industrial AI
    • Embedded or distributed AI architectures
  • Experience developing and deploying AI applications in resource-constrained or real-time environments
  • Software engineering skills in Python and modern AI/ML frameworks
  • Familiarity with:
    • Edge inference optimization
    • GPU-accelerated computing
    • Streaming and real-time systems
    • Distributed AI architectures
    • Control and optimization systems
  • Bridge advanced AI concepts with practical deployment in operational environments
  • Curiosity, creativity, and a passion for building intelligent systems that interact directly with the physical world

Bonus Experience
  • Industrial automation or control systems
  • Robotics and autonomous platforms
  • Reinforcement learning or adaptive control
  • Time-series analytics and anomaly detection
  • Embedded systems and edge deployment toolchains
  • Digital twins and simulation environments
  • Vision-language or multimodal AI systems
  • Cyber-physical systems and operational technology (OT)

What We Offer
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

This position is part of a job family. Experience will be the determining factor for position level and compensation
At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
#LI-PD1
#LI-hybrid
#lifeatROK
We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.
Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

What Rockwell Automation employees say

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About Rockwell Automation

Sourced by ZipRecruiter

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

Industry

Industrial automation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

Year founded

1903

Social media

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