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Remote Reinforcement Learning Jobs in Cleveland, OH

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... AI, and reinforcement learning where applicable. * Oversee the full model lifecycle: data ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... AI, and reinforcement learning where applicable. * Oversee the full model lifecycle: data ...

Remote Reinforcement Learning information

See Cleveland, OH salary details

$10.7K

$81.4K

$135.8K

How much do remote reinforcement learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote reinforcement learning in Cleveland, OH is $81,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a remote reinforcement learning?

A Remote Reinforcement Learning job involves developing and applying reinforcement learning algorithms while working from a location outside of a traditional office environment. Professionals in this field focus on creating systems where agents learn optimal behaviors through trial and error, often using feedback from their environment. These jobs typically require expertise in machine learning, programming, and mathematics, and are commonly found in industries like robotics, gaming, and autonomous systems. Working remotely allows researchers and engineers to collaborate with global teams using digital tools and platforms.

What are the key skills and qualifications needed to thrive as a remote reinforcement learning engineer?

To thrive as a Remote Reinforcement Learning Engineer, you need a strong background in machine learning, statistics, and programming (especially Python), often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and RL-specific libraries like OpenAI Gym, along with experience using cloud computing platforms, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication help individuals excel in distributed teams. These skills ensure the successful design, implementation, and deployment of reinforcement learning solutions while collaborating efficiently in a remote work environment.

What is the difference between Remote Reinforcement Learning vs Remote Machine Learning Engineer?

AspectRemote Reinforcement Learning
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; knowledge of RL algorithms
Work EnvironmentResearch-focused, experimental, often involves simulation and algorithm development
Employer & Industry UsageTech companies, research labs, AI startups focusing on autonomous systems
Common Search & Comparison IntentUnderstanding specialized AI roles, research focus, and technical skills

Remote Reinforcement Learning specialists focus on developing algorithms that enable machines to learn through trial and error in simulated or real environments. In contrast, Remote Machine Learning Engineers typically work on deploying and optimizing various machine learning models across applications. While both roles require strong programming skills and knowledge of AI, reinforcement learning emphasizes decision-making processes, whereas machine learning engineering covers a broader range of models and deployment strategies.

What are common challenges faced when working remotely in a reinforcement learning role and how can they be addressed?

Working remotely in a Reinforcement Learning role often involves overcoming communication barriers with cross-functional teams, managing large-scale experiments without on-site resources, and staying updated with rapidly evolving research. To address these challenges, it's important to establish regular check-ins with colleagues, utilize cloud-based platforms for experiment management, and participate in virtual seminars or journal clubs. Developing strong self-motivation and time management skills is also crucial to maintain productivity in a remote environment.
What cities near Cleveland, OH are hiring for Remote Reinforcement Learning jobs? Cities near Cleveland, OH with the most Remote Reinforcement Learning job openings:

Quant Analytics Sr Associate - Model Risk

Keybank

Cleveland, OH • Remote

$96K - $181K/yr

Full-time

Posted yesterday

New


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

51st of 170 rated banks


Job description

Location:

127 Public Square, Cleveland Ohio

ABOUT THE JOB

As a Senior Quantitative Analytics Associate, you will be at the forefront of validating models for Market Risk, IRRBB (including NII, EVE, Deposit modeling), and Liquidity. Your expertise in machine learning will be instrumental in developing advanced use cases such as generative AI for scenario simulation, reinforcement learning for deep hedging, and machine learning techniques for model calibration. You will also incorporate the latest market risk trends - including heightened uncertainty around interest rate movements and increased market volatility - ensuring our models remain aligned with current industry standards and best practices. This role offers a fantastic opportunity to learn and grow, gaining exposure to a wide range of market risk pricing models, term structure models, hedging models, and risk models.

ESSENTIAL JOB FUNCTIONS

  • Validate models for Market Risk, IRRBB, Liquidity, and other risk areas
  • Apply machine learning techniques to enhance and support model validation processes
  • Deliver insightful analysis to address complex business problems
  • Communicate findings effectively to partners, translating complex theories into easy-to-understand language

REQUIRED QUALIFICATIONS

  • Master's degree in a quantitative discipline with 2+ years of relevant experience
  • Familiarity with Market Risk, IRRBB, and Liquidity concepts
  • Familiarity with regulatory requirements such as SR11-07, IRRBB regulations, Market Risk Rule, FRTB, and SIMM
  • Exposure to market risk pricing models, term structure models, hedging models, asset liability models, deposit pricing and runoff models, or other risk models spanning interest rate derivatives, commodities, FX, CDS, fixed income, and equity

SYSTEMS & TOOLS

  • Experience with leading quantitative risk systems such as Calypso, RiskWatch, Bloomberg, QRM, and BlackRock, as well as cloud infrastructure platforms like GCP.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 09/06/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

#LI-Remote

What KeyBank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849