Principal AI Researcher
Atlanta, GA · On-site
Strong background in reinforcement learning, tool-use, or multi-agent systems. * Systems Thinking: Ability to conduct research under real-world constraints, such as latency, cost-to-serve, and ...
Principal AI Researcher
Atlanta, GA · On-site
Strong background in reinforcement learning, tool-use, or multi-agent systems. * Systems Thinking: Ability to conduct research under real-world constraints, such as latency, cost-to-serve, and ...
Sr Data Scientist - Commercial
Atlanta, GA · On-site
$94.50 - $115.50/hr
Preferred Qualifications: * 5+ years in operations research, statistics, computer science, or related science field. * Experience with time series forecasting, reinforcement learning, machine ...
Sr Data Scientist - Commercial
Atlanta, GA · On-site
$94.50 - $115.50/hr
Preferred Qualifications: * 5+ years in operations research, statistics, computer science, or related science field. * Experience with time series forecasting, reinforcement learning, machine ...
Background in deep learning for robotics (motion planning, reinforcement learning, pose estimation). Familiarity with simulation environments (Gazebo, Isaac Sim, PyBullet, or Mujoco). Programming ...
Background in deep learning for robotics (motion planning, reinforcement learning, pose estimation). Familiarity with simulation environments (Gazebo, Isaac Sim, PyBullet, or Mujoco). Programming ...
Postdoctoral Fellow
Atlanta, GA · On-site
$47K - $63K/yr
... in programming languages (Python, R, Perl); machine learning/AI applications. • Experience with CRISPR techniques; microbiome experiments and analysis; advanced statistical analysis and data ...
Postdoctoral Fellow
Atlanta, GA · On-site
$47K - $63K/yr
... in programming languages (Python, R, Perl); machine learning/AI applications. • Experience with CRISPR techniques; microbiome experiments and analysis; advanced statistical analysis and data ...
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction ... Bachelor's degree in Computer Science, AI, Machine Learning, or a related field. * Proven ...
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction ... Bachelor's degree in Computer Science, AI, Machine Learning, or a related field. * Proven ...
Staff Machine Learning Engineer
Atlanta, GA · On-site +1
$220K - $280K/yr
Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or ...
Staff Machine Learning Engineer
Atlanta, GA · On-site +1
$220K - $280K/yr
Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection. * Background in Daily Fantasy Sports (DFS), oddsmaking, or ...
Staff AI Scientist
Atlanta, GA · On-site
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
Staff AI Scientist
Atlanta, GA · On-site
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
Staff AI Scientist
Atlanta, GA · On-site
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
Staff AI Scientist
Atlanta, GA · On-site
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
Senior Staff AI Scientist
Atlanta, GA · On-site
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
Senior Staff AI Scientist
Atlanta, GA · On-site
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
... Reinforcement or Deep Learning. * Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques ...
... in modern AI infrastructure: LLM inference and serving, model gateways, vector search, guardrails, and evaluation systems Frontier research fluency: you read post-training, reinforcement learning ...
... in modern AI infrastructure: LLM inference and serving, model gateways, vector search, guardrails, and evaluation systems Frontier research fluency: you read post-training, reinforcement learning ...
LLM Engineer (GCP Preferred)
Atlanta, GA · Hybrid
$58 - $60/hr
The ideal candidate will have a strong background in natural language processing, deep learning ... Familiarity with multi-agent systems and reinforcement learning is a strong plus.
Quick apply
LLM Engineer (GCP Preferred)
Atlanta, GA · Hybrid
$58 - $60/hr
The ideal candidate will have a strong background in natural language processing, deep learning ... Familiarity with multi-agent systems and reinforcement learning is a strong plus.
... in-house), beyond personal use * You follow frontier agentic-systems research (harness design, reinforcement learning from execution feedback, evaluation methods) closely enough to put it into ...
... in-house), beyond personal use * You follow frontier agentic-systems research (harness design, reinforcement learning from execution feedback, evaluation methods) closely enough to put it into ...
... in modern AI infrastructure: LLM inference and serving, model gateways, vector search, guardrails, and evaluation systems Frontier research fluency: you read post-training, reinforcement learning ...
... in modern AI infrastructure: LLM inference and serving, model gateways, vector search, guardrails, and evaluation systems Frontier research fluency: you read post-training, reinforcement learning ...
Post Doctoral Fellow in Machine Learning and Data Science
Atlanta, GA · On-site
$47K - $63K/yr
The Emory Sports Performance And Research Center (SPARC) is seeking a highly motivated postdoctoral ... performance in professional sports using machine learning and data analysis techniques.
Post Doctoral Fellow in Machine Learning and Data Science
Atlanta, GA · On-site
$47K - $63K/yr
The Emory Sports Performance And Research Center (SPARC) is seeking a highly motivated postdoctoral ... performance in professional sports using machine learning and data analysis techniques.
... in partnership with machine learning engineers and guided by senior scientists. * Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve ...
... in partnership with machine learning engineers and guided by senior scientists. * Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve ...
AI Scientist 2
Atlanta, GA · On-site
... in partnership with machine learning engineers and guided by senior scientists. * Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve ...
AI Scientist 2
Atlanta, GA · On-site
... in partnership with machine learning engineers and guided by senior scientists. * Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve ...
Postdoctoral Fellow- LUMeN Lab
$47K - $64K/yr
The Learning, Understanding, Memory, & Neurodevelopment Lab (LUMeN Lab, PI: Dr. Alexandra Cohen) in the Department of Psychology at Emory University (Atlanta, GA) is seeking a full-time Postdoctoral ...
Postdoctoral Fellow- LUMeN Lab
$47K - $64K/yr
The Learning, Understanding, Memory, & Neurodevelopment Lab (LUMeN Lab, PI: Dr. Alexandra Cohen) in the Department of Psychology at Emory University (Atlanta, GA) is seeking a full-time Postdoctoral ...
Postdoctoral In Reinforcement Learning information
See Austell, GA salary details
$22.9K - $27.7K
2% of jobs
$27.7K - $32.6K
3% of jobs
$32.6K - $37.5K
3% of jobs
$37.5K - $42.3K
11% of jobs
$44.1K is the 25th percentile. Wages below this are outliers.
$42.3K - $47.2K
16% of jobs
$47.2K - $52.1K
13% of jobs
The median wage is $52.5K / yr.
$52.1K - $57K
17% of jobs
$59.6K is the 75th percentile. Wages above this are outliers.
$57K - $61.8K
17% of jobs
$61.8K - $66.7K
13% of jobs
$66.7K - $71.6K
3% of jobs
$71.6K - $76.4K
1% of jobs
$22.9K
$54K
$76.4K
How much do postdoctoral in reinforcement learning jobs pay per year?
As of Aug 8, 2026, the average yearly pay for postdoctoral in reinforcement learning in Austell, GA is $54,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $60,900.00 per year, depending on experience, location, and employer.
What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?
| Aspect | Postdoctoral In Reinforcement Learning | Postdoctoral In Machine Learning |
|---|---|---|
| Required Credentials | PhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learning | PhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning |
| Work Environment | Academic labs, research institutions, industry R&D teams focused on reinforcement learning applications | Academic labs, research institutions, industry R&D teams working on various machine learning techniques |
| Industry Usage | Primarily in AI research, robotics, gaming, and autonomous systems | Broader applications including data analysis, predictive modeling, and AI research |
Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.
What are the key skills and qualifications needed to thrive as a postdoctoral researcher in reinforcement learning?
To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.
What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?
Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.
What is a postdoctoral researcher in reinforcement learning?
A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
Workday rating
7.6
Based on 12 frontline employees who took The Breakroom Quiz
153rd of 242 rated software companies
Job description
Your work days are brighter here.
We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.
About the Team
Workday AI Research is a newly built, elite organization dedicated to advancing the state-of-the-art in AI to power the Agentic Enterprise. We sit at the heart of Agent Factory, Workday's innovation hub. While Agent Factory builds the production-grade agents used by 65M+ people, the AI Research team discovers the fundamental breakthroughs that make those agents possible.We are a high-impact, "research-to-reality" team. We don't just conduct experiments in a vacuum; we solve the hardest enterprise-level problems in reasoning, planning, and multi-modal understanding. As a founding member of this research arm, you will help shape our research culture, publication strategy, and the fundamental intelligence layer of the Workday platform.
About the Role
As a Principal AI Researcher, you will be a technical founder and visionary for the Workday AI Research Team. This is a role for a scientist-leader who thrives on defining the frontier rather than just following a roadmap. You will move the needle on how LLMs and autonomous agents function within the complex, high-trust environment of global enterprise data.
You will bridge the gap between groundbreaking theory and massive-scale application. Your work will involve defining research roadmaps for agentic reasoning, long-horizon planning, and model alignment, ensuring that Workday remains the world leader in responsible, intelligent enterprise agents.
Key Responsibilities:
Define research direction in Agentic AI and LLMs.
Advance the state of the art in agentic systems, including retrieval, grounding, memory, context, personalization, etc.
Foundational Model Research: Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain-specific alignment for HR and Finance workflows.
Publish & Open Source: Lead Workday's contribution to the global AI community through publications at top-tier venues (NeurIPS, ICLR, ICML, ACL, etc.) and strategic open-source releases.
Research-to-Production Bridge: Partner with Agent Factory engineering pods to integrate SOTA research into production-ready services that scale to the world's largest organizations.
Mentorship & Culture: Act as a force multiplier for the newly formed research team, fostering a culture of scientific rigor, curiosity, and high-velocity experimentation.
About You
Basic Qualifications
8+ years of experience in AI/ML research or applied science, with a proven history of taking products from applied research to global-scale production.
Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Math, Physics, or equivalent technical field.
4+ years of professional experience using deep learning frameworks such as PyTorch, JAX, or TensorFlow.
2+ years of deep expertise in LLMs or VLMs, specifically in training, alignment (RLHF/DPO), or agentic reasoning frameworks.
SOTA Publication Record: A strong history of lead-researcher publications in top AI venues OR a proven track record of shipping industry-defining AI innovations to millions of users.
Other Qualifications
Agentic AI Pioneer: Strong background in reinforcement learning, tool-use, or multi-agent systems.
Systems Thinking: Ability to conduct research under real-world constraints, such as latency, cost-to-serve, and enterprise data privacy.
Leadership in Ambiguity: Proven experience in building a research agenda from the ground up and leading technical strike teams through open-ended problems.
Communication: Exceptional ability to translate complex research breakthroughs into strategic value for product leaders and executive stakeholders.
Ethics & Trust: A deep commitment to developing AI that is explainable, fair, and safe for the world's largest workforces.
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: USA.CA.PleasantonPrimary Location Base Pay Range: $228,000 USD - $342,000 USDAdditional US Location(s) Base Pay Range: $190,600 USD - $342,000 USD
Our Approach to Flexible Work
With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
About Workday
Sourced by ZipRecruiter
Workday's journey began with a transformative idea generated during a breakfast conversation between its founders in sunny California. What set us apart from the start was our people-centric culture, driven by the core value of prioritizing our employees. At Workday, the happiness, growth, and contributions of every team member are at the heart of who we are. Our collaborative and employee-focused culture is the key ingredient for our business success. We not only care for our people but also for the communities and the environment, all while maintaining profitability. Embrace your uniqueness, as we encourage our Workmates to shine brightly in their authentic selves. Our passion and energy make us distinct, and we are inspired to create a brighter workday for everyone.
Industry
Software development
Company size
10,000+ Employees
Headquarters location
Pleasanton, CA, US
Year founded
2005