Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals * Experience with A/B experimentation and data/metric-driven product ...
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals * Experience with A/B experimentation and data/metric-driven product ...
Applied AI/ML - Senior Associate
Chicago, IL · On-site
$118K - $185K/yr
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals * Experience with A/B experimentation and data/metric-driven product ...
Applied AI/ML - Senior Associate
Chicago, IL · On-site
$118K - $185K/yr
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals * Experience with A/B experimentation and data/metric-driven product ...
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals * Experience with A/B experimentation and data/metric-driven product ...
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals * Experience with A/B experimentation and data/metric-driven product ...
Principal Applied Scientist
Chicago, IL · On-site
$214K - $350K/yr
... reinforcement learning, information retrieval, forecasting, recommender systems, optimization, causal inference, experimentation, or decision intelligence preferred. * Experience in healthcare, ...
New
Principal Applied Scientist
Chicago, IL · On-site
$214K - $350K/yr
... reinforcement learning, information retrieval, forecasting, recommender systems, optimization, causal inference, experimentation, or decision intelligence preferred. * Experience in healthcare, ...
New
Applied AI Research Fellow
Chicago, IL · On-site
As a Fellow, you will work on foundational questions in representation learning, generative ... Late-stage PhD student or postdoc in a quantitative or computational field * Hands-on experience ...
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Applied AI Research Fellow
Chicago, IL · On-site
As a Fellow, you will work on foundational questions in representation learning, generative ... Late-stage PhD student or postdoc in a quantitative or computational field * Hands-on experience ...
... reinforcement learning, and autonomous systems is highly desirable. * You have familiarity with data visualization tools (e.g., Tableau, Power BI). * You have experience in sales and business ...
New
... reinforcement learning, and autonomous systems is highly desirable. * You have familiarity with data visualization tools (e.g., Tableau, Power BI). * You have experience in sales and business ...
New
Principal Applied Scientist
$214K - $350K/yr
... reinforcement learning, information retrieval, forecasting, recommender systems, optimization, causal inference, experimentation, or decision intelligence preferred. * Experience in healthcare, ...
New
Principal Applied Scientist
$214K - $350K/yr
... reinforcement learning, information retrieval, forecasting, recommender systems, optimization, causal inference, experimentation, or decision intelligence preferred. * Experience in healthcare, ...
New
... reinforcement learning or optimization algorithms. * Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy ...
... reinforcement learning or optimization algorithms. * Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy ...
Deep and demonstrable expertise in AI/ML concepts and applications, including: Machine learning algorithms (supervised, unsupervised, reinforcement learning) Deep learning architectures (CNNs, RNNs ...
Deep and demonstrable expertise in AI/ML concepts and applications, including: Machine learning algorithms (supervised, unsupervised, reinforcement learning) Deep learning architectures (CNNs, RNNs ...
Chase Modeling - Applied AI Modeling Lead - Vice President
Chicago, IL · On-site
$137K - $235K/yr
... reinforcement learning or optimization algorithms. * Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy ...
Chase Modeling - Applied AI Modeling Lead - Vice President
Chicago, IL · On-site
$137K - $235K/yr
... reinforcement learning or optimization algorithms. * Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy ...
... reinforcement learning or optimization algorithms. * Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy ...
... reinforcement learning or optimization algorithms. * Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy ...
Associate Director, Commercial Data Science
$60K - $60K/yr
... reinforcement learning, agent-based simulation, and generative/agentic techniques * Lead ... Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive ...
Associate Director, Commercial Data Science
$60K - $60K/yr
... reinforcement learning, agent-based simulation, and generative/agentic techniques * Lead ... Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive ...
Minimum of 3 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics ... You have knowledge of agent-based modeling, reinforcement learning, and autonomous systems is ...
New
Minimum of 3 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics ... You have knowledge of agent-based modeling, reinforcement learning, and autonomous systems is ...
New
Light On Anxiety offers best in class continuing education through our Clinical Training Institute, which includes case consultation, Clinical Grand Rounds, our Learning Lab and a robust assortment ...
Light On Anxiety offers best in class continuing education through our Clinical Training Institute, which includes case consultation, Clinical Grand Rounds, our Learning Lab and a robust assortment ...
Assistant Member Tenure-earning in the Department of Machine Learning at Moffitt Cancer Center
$17.50 - $20.50/hr
... postdoctoral fellows. These individuals will have their primary appointment in a Basic Science or ... We currently have faculty initiating a wide range of machine learning research and its application ...
Assistant Member Tenure-earning in the Department of Machine Learning at Moffitt Cancer Center
$17.50 - $20.50/hr
... postdoctoral fellows. These individuals will have their primary appointment in a Basic Science or ... We currently have faculty initiating a wide range of machine learning research and its application ...
WHAT'S IN IT FOR YOU? * Lead next-generation Agentic Commerce transformations , embedding AI-driven ... Familiarity with reinforcement learning, adaptive decision systems, and personalization engines.
WHAT'S IN IT FOR YOU? * Lead next-generation Agentic Commerce transformations , embedding AI-driven ... Familiarity with reinforcement learning, adaptive decision systems, and personalization engines.
Please note that this role is required to be in office 1-2x / month. Responsibilities: Own GTM ... reinforcement tools. * Experience translating business priorities into learning objectives ...
Please note that this role is required to be in office 1-2x / month. Responsibilities: Own GTM ... reinforcement tools. * Experience translating business priorities into learning objectives ...
Principal Architect
Chicago, IL · On-site +1
... in agentic loops, reinforcement learning edge harnesses, cloud platforms and advanced AI architectures. Whether you hold a Ph.D. in Computer Science/AI, designed orchestration systems or have ...
Principal Architect
Chicago, IL · On-site +1
... in agentic loops, reinforcement learning edge harnesses, cloud platforms and advanced AI architectures. Whether you hold a Ph.D. in Computer Science/AI, designed orchestration systems or have ...
... reinforcement tools. * Experience translating business priorities into learning objectives ... In addition to base salary, this job is eligible to receive equity in the form of restricted stock ...
... reinforcement tools. * Experience translating business priorities into learning objectives ... In addition to base salary, this job is eligible to receive equity in the form of restricted stock ...
Research Fellow-CCI, Heart Center
Chicago, IL · On-site
$49K - $81K/yr
... a highly motivated postdoctoral fellow, or equivalently qualified scientist, to focus on ... This job includes rigorous statistical, computational, and machine learning research in ...
Research Fellow-CCI, Heart Center
Chicago, IL · On-site
$49K - $81K/yr
... a highly motivated postdoctoral fellow, or equivalently qualified scientist, to focus on ... This job includes rigorous statistical, computational, and machine learning research in ...
Postdoctoral In Reinforcement Learning information
See Wheeling, IL salary details
$25.9K - $31.4K
2% of jobs
$31.4K - $36.9K
3% of jobs
$36.9K - $42.4K
3% of jobs
$42.4K - $47.9K
11% of jobs
$49.8K is the 25th percentile. Wages below this are outliers.
$47.9K - $53.4K
16% of jobs
$53.4K - $58.9K
13% of jobs
The median wage is $59.4K / yr.
$58.9K - $64.4K
17% of jobs
$67.4K is the 75th percentile. Wages above this are outliers.
$64.4K - $69.9K
17% of jobs
$69.9K - $75.4K
13% of jobs
$75.4K - $80.9K
3% of jobs
$80.9K - $86.5K
1% of jobs
$25.9K
$61.1K
$86.5K
How much do postdoctoral in reinforcement learning jobs pay per year?
As of Jul 15, 2026, the average yearly pay for postdoctoral in reinforcement learning in Wheeling, IL is $61,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $68,900.00 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, and why are they important?
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.
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Wheeling, IL look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Wheeling, IL are:
What cities near Wheeling, IL are hiring for Postdoctoral In Reinforcement Learning jobs? Cities near Wheeling, IL with the most Postdoctoral In Reinforcement Learning job openings:
Full-time
Medical, Retirement
Posted 8 days ago
JPMorgan Chase & Co. rating
8.0
Based on 491 frontline employees who took The Breakroom Quiz
58th of 149 rated banks
Job description
Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.
As an Applied AI/ML Senior Associate within the CIB Technology team at JPMorganChase, you will play a crucial role in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will use your knowledge of ML toolkit and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new systems. We are looking for someone with a passion for data, ML, and Software Development, who can understand the data landscape in large and complex organizations.
Job Responsibilities
- Assist product leadership in defining the problem statements, execution roadmap
- Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.
- Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
- Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
- Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
- Collaborate to develop large-scale data modeling experiments, explain complex concepts to senior leaders and stakeholders.
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Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
Required qualifications, capabilities, and skills
- BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics.
- 5+ years' experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.
- Experience with LLMs and Prompt Engineering techniques.
- 1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc.
- Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models
- Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
- Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
- Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
- Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
- Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player
Preferred qualifications, capabilities and skills
- Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals
- Experience with A/B experimentation and data/metric-driven product development
- Ability to develop and debug production-quality code and familiarity with continuous integration models and unit test development
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
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About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US