Senior Reinforcement Learning Engineer

If you are a talented and motivated Senior Reinforcement Learning Engineer with a passion for solving complex problems using innovative techniques, we want to hear from you

Position: Senior Reinforcement Learning Engineer

Location: New York, New York, United States

Salary: $190000 - $224000

Employment Type: Full-time

Job Description: Lobox is seeking a highly skilled and experienced Senior Reinforcement Learning Engineer to join our dynamic team. As a Senior Reinforcement Learning Engineer, you will be responsible for developing and implementing advanced reinforcement learning algorithms and models to solve complex problems in various industries.

Responsibilities:

• Design, develop and implement state-of-the-art reinforcement learning algorithms and models.
• Work closely with cross-functional teams to identify and understand business needs and develop solutions using reinforcement learning techniques.
• Collaborate with data scientists and machine learning engineers to integrate reinforcement learning models into our existing systems.
• Conduct research and propose new ideas to improve existing reinforcement learning models.
• Analyze and evaluate the performance of reinforcement learning models and make necessary improvements.
• Stay up-to-date with the latest advancements in reinforcement learning and apply them to solve real-world problems.
• Mentor and guide junior team members to ensure high-quality deliverables.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience in developing reinforcement learning models.
• Strong background in mathematics, statistics, and computer science.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Excellent knowledge of reinforcement learning algorithms and techniques.
• Solid understanding of machine learning concepts such as supervised and unsupervised learning.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.
• Ability to work independently and manage multiple projects simultaneously.

Why Lobox?

Lobox is a fast-growing company that offers a dynamic and challenging work environment. As a Senior Reinforcement Learning Engineer, you will have the opportunity to work on cutting-edge projects and make a significant impact on the success of our company. We also offer competitive salary and benefits packages, as well as opportunities for career growth and development.

Apply now and join our team of experts in shaping the future of AI and machine learning.