Description The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our ... and Reinforcement Learning techniques (RLHF, PPO, GRPO) Demonstrated ability to quickly master ...
Description The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our ... and Reinforcement Learning techniques (RLHF, PPO, GRPO) Demonstrated ability to quickly master ...
... reinforcement learning, imitation learning) applied to planning or decision-making problems • Solid mathematical background, including linear algebra and probability theory • Knowledge of GPU ...
... reinforcement learning, imitation learning) applied to planning or decision-making problems • Solid mathematical background, including linear algebra and probability theory • Knowledge of GPU ...
Whether leveraging reinforcement learning, imitation learning, teleoperation retargeting, or ... Software Engineering: Proficiency in Python , with experience building real-time robotic software ...
Whether leveraging reinforcement learning, imitation learning, teleoperation retargeting, or ... Software Engineering: Proficiency in Python , with experience building real-time robotic software ...
Knowledge of machine learning techniques (e.g., reinforcement learning, imitation learning) applied ... Knowledge of GPU programming (e.g., CUDA, OpenCL) for accelerating algorithms
Knowledge of machine learning techniques (e.g., reinforcement learning, imitation learning) applied ... Knowledge of GPU programming (e.g., CUDA, OpenCL) for accelerating algorithms
Senior Machine Learning Engineer, DevOps/SRE
Austin, TX · On-site
$128K - $165K/yr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to ...
Senior Machine Learning Engineer, DevOps/SRE
Austin, TX · On-site
$128K - $165K/yr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to ...
Senior Software Engineer, CUDA Deep Learning Systems
$121K - $160K/yr
Strong proficiency in C++ and Python programming. * Solid background in the fundamentals of Deep ... Familiarity with systems requirements for Reinforcement Learning (RL) or highly parallel simulation ...
Senior Software Engineer, CUDA Deep Learning Systems
$121K - $160K/yr
Strong proficiency in C++ and Python programming. * Solid background in the fundamentals of Deep ... Familiarity with systems requirements for Reinforcement Learning (RL) or highly parallel simulation ...
SoC Machine Learning Design Engineer
$184K - $324K/yr
By hiring incredible engineers, we drive precision. And through our collaborative process, we build ... Experience with Deep neural networks and reinforcement learning is a plus Solid math background and ...
SoC Machine Learning Design Engineer
$184K - $324K/yr
By hiring incredible engineers, we drive precision. And through our collaborative process, we build ... Experience with Deep neural networks and reinforcement learning is a plus Solid math background and ...
SoC Machine Learning Design Engineer
$184K - $324K/yr
By hiring incredible engineers, we drive precision. And through our collaborative process, we build ... Experience with Deep neural networks and reinforcement learning is a plus Solid math background and ...
SoC Machine Learning Design Engineer
$184K - $324K/yr
By hiring incredible engineers, we drive precision. And through our collaborative process, we build ... Experience with Deep neural networks and reinforcement learning is a plus Solid math background and ...
Description The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our ... and Reinforcement Learning techniques (RLHF, PPO, GRPO) Demonstrated ability to quickly master ...
Description The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our ... and Reinforcement Learning techniques (RLHF, PPO, GRPO) Demonstrated ability to quickly master ...
Knowledge of machine learning techniques (e.g., reinforcement learning, imitation learning) applied ... Knowledge of GPU programming (e.g., CUDA, OpenCL) for accelerating algorithms Candidates are ...
Knowledge of machine learning techniques (e.g., reinforcement learning, imitation learning) applied ... Knowledge of GPU programming (e.g., CUDA, OpenCL) for accelerating algorithms Candidates are ...
Senior AI Model Fine-Tuning Engineer
Austin, TX · On-site
$103K - $142K/yr
... Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to ... RLHF, prompt engineering, and zero-shot learning. • Experience with popular transformer ...
Senior AI Model Fine-Tuning Engineer
Austin, TX · On-site
$103K - $142K/yr
... Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to ... RLHF, prompt engineering, and zero-shot learning. • Experience with popular transformer ...
Program Manager
Austin, TX · On-site
Proficiency in Python and experience with asynchronous programming (AsyncIO) for ML serving frameworks. Experience with Ray for distributed compute and managing Reinforcement Learning (RL) workloads.
Quick apply
Program Manager
Austin, TX · On-site
Proficiency in Python and experience with asynchronous programming (AsyncIO) for ML serving frameworks. Experience with Ray for distributed compute and managing Reinforcement Learning (RL) workloads.
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Strong programming skills in high-performance languages * Deep understanding of inference ...
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Strong programming skills in high-performance languages * Deep understanding of inference ...
Staff Software Engineer - Humanoid Controls
Austin, TX · On-site
$44.75 - $57.25/hr
Hands-on experience with learning-based control / reinforcement learning applied to robotics ... Strong software engineering: real-time C++ and Python for robotic systems. * Industry experience ...
New
Staff Software Engineer - Humanoid Controls
Austin, TX · On-site
$44.75 - $57.25/hr
Hands-on experience with learning-based control / reinforcement learning applied to robotics ... Strong software engineering: real-time C++ and Python for robotic systems. * Industry experience ...
New
Machine learning and reinforcement learning * Optimization and control systems * Streaming ... Software engineering skills in Python and modern AI/ML frameworks * Familiarity with: * Edge ...
Machine learning and reinforcement learning * Optimization and control systems * Streaming ... Software engineering skills in Python and modern AI/ML frameworks * Familiarity with: * Edge ...
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Work cross-functionally with engineering and product leadership to plan and manage delivery ... Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Work cross-functionally with engineering and product leadership to plan and manage delivery ... Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation
Staff Applied Scientist - Machine Learning
Austin, TX · Hybrid
$470K - $615K/yr
Work cross-functionally with engineering and product leadership to plan and manage delivery ... Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation
Staff Applied Scientist - Machine Learning
Austin, TX · Hybrid
$470K - $615K/yr
Work cross-functionally with engineering and product leadership to plan and manage delivery ... Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Work cross-functionally with engineering and product leadership to plan and manage delivery ... Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation
Quick apply
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Work cross-functionally with engineering and product leadership to plan and manage delivery ... Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation
Machine learning and reinforcement learning * Optimization and control systems * Streaming ... Software engineering skills in Python and modern AI/ML frameworks * Familiarity with: * Edge ...
Machine learning and reinforcement learning * Optimization and control systems * Streaming ... Software engineering skills in Python and modern AI/ML frameworks * Familiarity with: * Edge ...
Senior AI Compiler Engineer - Applied Research
Austin, TX · On-site
$121K - $160K/yr
Experience with reinforcement learning. * Reward modeling from non-differentiable signals (binary runtime/compile success, performance counters). * Knowledge of prompt-engineering techniques (CoT ...
Senior AI Compiler Engineer - Applied Research
Austin, TX · On-site
$121K - $160K/yr
Experience with reinforcement learning. * Reward modeling from non-differentiable signals (binary runtime/compile success, performance counters). * Knowledge of prompt-engineering techniques (CoT ...
Reinforcement Learning Engineer information
See Austin, TX salary details
$37.7K - $51.5K
5% of jobs
$51.5K - $65.3K
7% of jobs
$65.3K - $79.2K
9% of jobs
$82.1K is the 25th percentile. Wages below this are outliers.
$79.2K - $93K
14% of jobs
The median wage is $105.4K / yr.
$93K - $106.8K
16% of jobs
$106.8K - $120.7K
13% of jobs
$120.7K - $134.5K
6% of jobs
$141.8K is the 75th percentile. Wages above this are outliers.
$134.5K - $148.3K
8% of jobs
$148.3K - $162.2K
8% of jobs
$162.2K - $176K
7% of jobs
$176K - $189.8K
5% of jobs
$37.7K
$114.8K
$189.8K
How much do reinforcement learning engineer jobs pay per year?
What is a reinforcement learning engineer?
What are the key skills and qualifications needed to thrive as a reinforcement learning engineer, and why are they important?
What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?
What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?
| Aspect | Reinforcement Learning Engineer | Machine Learning Engineer |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, AI, or related; experience with RL frameworks | Bachelor's/Master's in CS, Data Science, or related; experience with ML algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on RL applications | Tech companies, data-driven firms, AI departments across industries |
| Industry Usage | Specialized in RL projects like robotics, game AI, autonomous systems | Broader applications including predictive modeling, NLP, computer vision |
Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.
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Full-time
Re-posted 9 days ago
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
Description
The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our next-generation payments platform. In this role, you will blend classical ML with cutting-edge Generative and Agentic AI to transform how we process transactional data at scale.
Minimum Qualifications
2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms
In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts
Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks
Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)
Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience
Preferred Qualifications
3+ years deploying production-grade AI/ML solutions in the FinTech domain
2+ years building conversational assistants or autonomous agents using advanced techniques (LangGraph, CrewAI, A2A, CoT, ReAct, Reflection)
Experience with the full LLM lifecycle including pre-training, SFT, and Reinforcement Learning techniques (RLHF, PPO, GRPO)
Demonstrated ability to quickly master emerging AI tools and integrate them into legacy stacks
Strong written and verbal communication skills with the ability to explain complex AI concepts to business stakeholders
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