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Ai Reinforcement Learning Jobs in Ohio (NOW HIRING)

helsing.ai

$80.64 - $115.19/hr

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 ...

Statheros

We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to ... Develop and train reinforcement learning models for real-world applications, focusing on efficiency ...

Jobgether

$150 - $210/hr

... AI infrastructure and machine learning systems. You will help build inference and fine-tuning ... Deep understanding of the theoretical foundations of machine learning and reinforcement learning.

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

You Have * 5+ years of experience developing ML models such as NLP, LLM, computer vision, deep learning, generative AI, or reinforcement learning. * 5+ years of experience building AI/ML solutions in ...

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Ai Reinforcement Learning information

What is AI reinforcement learning?

AI reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. The agent receives feedback in the form of rewards or penalties based on its actions, which it uses to improve its future performance. Reinforcement learning is widely used in applications such as robotics, game playing, recommendation systems, and autonomous vehicles. Unlike supervised learning, RL doesn't require labeled input/output pairs and learns through trial and error.

What are the key skills and qualifications needed to thrive as an AI reinforcement learning specialist?

To thrive as an AI Reinforcement Learning Specialist, you need strong expertise in machine learning, deep learning, and mathematics, usually backed by a degree in computer science, engineering, or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with RL-specific libraries like OpenAI Gym are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are essential soft skills for excelling in this role. These skills and qualifications are crucial for developing, optimizing, and deploying RL algorithms that solve complex, real-world problems.

What are some common challenges faced by AI reinforcement learning specialists when deploying models in real-world applications?

AI Reinforcement Learning (RL) specialists often encounter challenges such as ensuring the reliability and safety of RL agents outside of controlled environments. Real-world data can be noisy and unpredictable, making it difficult for models trained in simulations to generalize. Additionally, RL algorithms typically require significant computational resources and time for training, which can be a constraint in fast-paced projects. Collaboration with domain experts and software engineers is essential to adapt algorithms to production systems and continuously monitor performance for unexpected behaviors.

What is the difference between Ai Reinforcement Learning vs Data Scientist?

AspectAi Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of algorithmsDegree in Statistics, Data Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, data analysis teams, consulting firms
Industry UsageAI product development, autonomous systems, roboticsBusiness insights, predictive modeling, data analysis
Common Search/ComparisonYesYes

Ai Reinforcement Learning focuses on developing algorithms that enable machines to learn through trial and error to make decisions. Data Scientists analyze data to extract insights and build predictive models. While both roles require programming skills and a background in data or algorithms, reinforcement learning specialists primarily work on AI systems that learn from interactions, whereas Data Scientists focus on interpreting data to inform business decisions.

What are popular job titles related to Ai Reinforcement Learning jobs in Ohio?

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

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

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

What cities in Ohio are hiring for Ai Reinforcement Learning jobs?

Cities in Ohio with the most Ai Reinforcement Learning job openings:

Ai Reinforcement Learning jobs near you

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

helsing.ai

On-site

$80.64 - $115.19/hr

Other

Posted 6 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

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