1

Postdoctoral In Reinforcement Learning Jobs in Ohio

$80.64 - $115.19/hr

AI Research Engineer - Reinforcement Learning * Full-time The role At Helsing we deliver AI-based ... You will have the unique opportunity to shape the future of AI in one of the most challenging ...

Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions. * Build robust pipelines for training, evaluation, and deployment of ...

$150 - $210/hr

Deep understanding of the theoretical foundations of machine learning and reinforcement learning. * Strong expertise in modern deep learning techniques for language processing and generation.

Postdoctoral Scholar

Columbus, OH · On-site

$65K - $68K/yr

Postdoctoral Scholar Department:Arts and Sciences | Astronomy The Postdoctoral Scholar will work ... Experience in statistical analysis, machine learning, and data-driven modeling applied to large ...

Postdoctoral Scholar

Columbus, OH · On-site

$65K - $68K/yr

Postdoctoral Scholar Department: Arts and Sciences | Astronomy The Postdoctoral Scholar will work ... Experience in statistical analysis, machine learning, and data-driven modeling applied to large ...

$80 - $100/hr

... planning in high-dimensional state spaces, planning under uncertainty, reinforcement learning, imitation learning, etc; * You have excellent experience in realizing customer-ready robotics ...

$80 - $100/hr

... planning in high-dimensional state spaces, planning under uncertainty, reinforcement learning, imitation learning, etc; * You have excellent experience in realizing customer-ready robotics ...

$70 - $90/hr

... reinforcement learning, imitation learning, etc; * You have profound knowledge in robotic manipulators and software development; * You are highly skilled in Python and C++; * You have excellent ...

next page

Showing results 1-20

Postdoctoral In Reinforcement Learning information

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 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 the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader 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 popular job titles related to Postdoctoral In Reinforcement Learning jobs in Ohio?

For Postdoctoral In Reinforcement Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Ohio look for?

The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Ohio are:

What cities in Ohio are hiring for Postdoctoral In Reinforcement Learning jobs?

Cities in Ohio with the most Postdoctoral In Reinforcement Learning job openings:

Infographic showing various Postdoctoral In Reinforcement Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Research Engineer - Reinforcement Learning AI & Engineering Berlin; London; Munich

helsing.ai

On-site

$80.64 - $115.19/hr

Other

Posted 8 days ago


Job description

AI Research Engineer - Reinforcement Learning
  • Full-time
The role

At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired with high generalisation capabilities and strong robustness against adversarial attacks.

You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. You will be developing state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.

The day-to-day

You\'ll build, train and integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight. You will contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.

You should apply if you

Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics.

Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.

Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches.

Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don\'t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have
  • PhD in reinforcement learning, multi-agent systems, automation and control, robotics, or related fields and have authored publications in top-tier journals and conferences (e.g., NeurIPS, ICML, ICLR, AAMAS).

Experience with large-scale RL training.

Experience modeling and training multi-agent controllers using state-of-the-art tools and techniques.

Experience deploying AI software to production including testing, quality assurance, and monitoring

Join Helsing and work with world-leading experts in their fields

Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.

The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique engineering and AI challenges that make a meaningful impact in the world.

Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.

In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.

We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted and encouraged to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

Competitive salary and stock options (ESOP)

Relocation support: up to €2,500 and 4 weeks temporary accommodation

Learning: €500/£450 yearly allowance

Health & wellness: gym membership and mental health support (Nilo.health)

Social: regular company events and monthly social allowances

Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Helsing\'s Candidate Privacy and Confidentiality Regime can be found here.

Apply to protect democracies.

I have reviewed and understood Helsing\'s privacy and confidentiality regime. By entering the recruitment process, I consent to the processing of my data as outlined in the policy below. The policy can be found here.

Please let us know the closest Helsing office that you wish to apply to.

To ensure the most effective and engaging interview experience for both you and our interviewers, we offer the option to utilise Metaview, our interview recording platform. Should you choose to opt-in by clicking Yes, an audio-only recording of your interview will be saved, allowing our team to review discussions thoroughly and maintain focus. You retain the right to opt-out of this feature at any point. Please be assured that any video feed will not be recorded or stored. Your participation is entirely voluntary and will not impact your candidacy. Please see more information on our privacy policy here.

Do you hold the applicable right to work in the country where the role is located?

Yes or No

#J-18808-Ljbffr