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Reinforcement Learning Engineer Jobs in New Jersey

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural ... Programming Languages: Python, R, SQL, Java or Scala, SQL You'll Love Working Here Because You Can ...

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural ... Programming Languages: Python, R, SQL, Java or Scala, SQL You'll Love Working Here Because You Can ...

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Understanding of statistics, deep learning, GANs, VAEs, classification, regression, time series, reinforcement learning * Ability to design Agentic AI architecture, including context engineering and ...

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Showing results 1-20

Reinforcement Learning Engineer information

See New Jersey salary details

$38.6K

$117.6K

$194.4K

How much do reinforcement learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for reinforcement learning engineer in New Jersey is $117,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $153,800.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a reinforcement learning engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

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

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader 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.

What cities in New Jersey are hiring for Reinforcement Learning Engineer jobs?

Cities in New Jersey with the most Reinforcement Learning Engineer job openings:

Infographic showing various Reinforcement Learning Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,630 per year, or $56.6 per hour.

AI/ML Scientist - Reinforcement Learning, Simulation & Optimization

Siemens Healthineers

Princeton, NJ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Siemens Healthineers rating

8.4

Company rating: 8.4 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

99th of 490 rated machine equipment manufacturers


Job description

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Join Siemens Healthineers' Digital Technology & Innovation (DTI) organization as an AI Scientist - Reinforcement Learning & Operational Twinning, where you will develop next-generation AI systems that optimize healthcare operations through intelligent simulation, sequential decision-making, and digital twin technologies.

In this role, you will help expand and operationalize Siemens Healthineers' Operational Twinning research initiatives across complex healthcare environments. Your work will directly influence how hospitals and health systems improve patient flow, resource allocation, scheduling, capacity management, and operational efficiency at scale. Working at the intersection of reinforcement learning, operations research, simulation, and digital twins, you will design intelligent systems capable of modeling and optimizing real-world healthcare workflows within dynamic virtual environments. This role is ideal for candidates passionate about sequential decision systems, AI-driven simulations, and operational optimization challenges with meaningful real-world impact.

You will collaborate closely with cross-functional R&D, engineering, and clinical teams to translate advanced research into scalable production-ready solutions that improve healthcare accessibility, efficiency, and patient outcomes worldwide.

You are responsible for:

  • Designing and developing reinforcement learning, simulation, and optimization algorithms for Operational Twinning applications in healthcare.

  • Building intelligent decision-making systems that optimize scheduling, patient flow, triage, staffing, and resource utilization across complex healthcare environments.

  • Developing AI-driven simulation environments and workflow models capable of representing real-world clinical and operational systems.

  • Conducting original research in reinforcement learning, sequential decision-making, combinatorial optimization, neural optimization, and hybrid AI-operations research (AI-OR) methods.

  • Translating large-scale operational and healthcare datasets into actionable optimization and policy-learning solutions.

  • Rapidly prototyping, evaluating, and validating novel algorithmic approaches for feasibility, scalability, explainability, and operational impact.

  • Collaborating with multidisciplinary R&D teams to integrate advanced optimization and simulation technologies into Siemens Healthineers' digital health platforms.

  • Publishing scientific research, contributing to patents, and driving innovation in operational AI and healthcare optimization technologies.

  • Staying current with advancements in reinforcement learning, world models, AI simulation, operations research, and autonomous decision systems.

Required Qualifications

  • Ph.D. in Computer Science, Applied Mathematics, Operations Research, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical field.

  • Strong hands-on experience in reinforcement learning, sequential decision-making systems, or simulation-based optimization.

  • Experience developing optimization algorithms, operational AI systems, or digital twin/simulation environments.

  • Strong programming skills in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX.

  • Experience translating complex real-world operational problems into scalable AI-driven solutions.

  • Strong technical communication skills and demonstrated research contributions through publications, patents, or applied research projects.

Preferred Qualifications

  • Experience with digital twins, workflow simulation, world models, or autonomous systems.

  • Background in operations research, combinatorial optimization, stochastic systems, or control theory.

  • Familiarity with healthcare operations, hospital systems, or clinical workflow optimization.

  • Experience deploying AI solutions into production or cloud-based environments (AWS, Azure, GCP).

  • Industry or applied research experience developing operational AI systems at scale.

#LI-AW1

Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

$154,450 - $212,366

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here.

Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you're unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status.

California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here.

Export Control: "A successful candidate must be able to work with controlled technology in accordance with US export control law." "It is Siemens Healthineers' policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations."

Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.

Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.


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