Research Engineer in Reinforcement Learning

About the role

Instadeep is seeking a talented Research Engineer specializing in Reinforcement Learning to join our innovative team in London. This permanent position offers an exciting opportunity to work at the forefront of artificial intelligence and machine learning. You will play a crucial role in developing advanced algorithms and models that push the boundaries of reinforcement learning, contributing to projects that have real-world applications across various industries.

Key facts

What you'll do

• Design, implement, and optimize reinforcement learning algorithms to solve complex problems in various domains, including robotics, finance, and healthcare.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate reinforcement learning solutions into existing systems.
• Conduct thorough research to stay updated on the latest advancements in reinforcement learning and related fields, applying this knowledge to enhance project outcomes.
• Develop and maintain high-quality codebases, ensuring that all algorithms are efficient, scalable, and robust.
• Create comprehensive documentation for algorithms and models, facilitating knowledge sharing within the team and with external stakeholders.
• Evaluate and benchmark the performance of different reinforcement learning approaches, providing insights and recommendations for improvements.
• Participate in code reviews and contribute to best practices in software development, fostering a culture of continuous improvement within the engineering team.
• Present research findings and project updates to both technical and non-technical audiences, effectively communicating complex concepts in an accessible manner.
• Mentor junior engineers and interns, providing guidance and support in their professional development.
• Engage with the broader AI and machine learning community through conferences, workshops, and publications, representing Instadeep as a thought leader in the field.
• Collaborate on grant proposals and research projects, seeking funding opportunities to further advance the company's research initiatives.
• Explore innovative applications of reinforcement learning, identifying new business opportunities and potential partnerships.

Requirements

• A Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing reinforcement learning algorithms, with a strong understanding of both theoretical and practical aspects.
• Proficiency in programming languages such as Python, C++, or Java, with experience in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with various reinforcement learning techniques, including Q-learning, policy gradients, and deep reinforcement learning.
• Strong analytical skills, with the ability to interpret complex data and derive actionable insights.
• Excellent problem-solving abilities, with a creative approach to tackling challenging technical issues.
• Effective communication skills, both written and verbal, with the ability to convey complex ideas clearly to diverse audiences.
• Experience working in an agile development environment, with a focus on collaboration and iterative improvement.
• A passion for research and a desire to contribute to the advancement of AI technologies.

Nice to have

• Previous experience in industry-focused applications of reinforcement learning, such as robotics, autonomous systems, or financial modeling.
• Knowledge of additional programming languages or tools relevant to machine learning and data analysis.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and their application in machine learning workflows.
• Experience with version control systems, such as Git, and familiarity with CI/CD practices.

Skills & tools

• Strong programming skills in Python and C++, with experience in machine learning libraries like TensorFlow and PyTorch.
• Knowledge of reinforcement learning algorithms and techniques, including deep learning methods.
• Familiarity with data analysis and visualization tools, such as Pandas, NumPy, and Matplotlib.
• Experience with cloud computing services and infrastructure for deploying machine learning models.

Practical notes

• This position is based in London, and candidates should be prepared for a hybrid work environment, combining remote work with in-office collaboration.
• The role may require occasional travel for conferences, workshops, or client meetings.
• Candidates must be eligible to work in the UK, and visa sponsorship is available for qualified applicants.

META

Company: Instadeep

Title: Research Engineer in Reinforcement Learning

Listed

location: London, London, City of

Job type: Permanent

Apply URL: https://instadeep.bamboohr.com/careers/362

Tags: Engineering