Reinforcement learning Engineer

Req ID [[25663]] [[Hyderabad]], India

At ZF Tech Center, India:

• We curiously investigate everything and provide opportunity to solve problems analytically, creatively and collaboratively
• We believe in learn by doing and provide a space for an entrepreneurial mindset that’s driven by hands-on experimentation
• We embrace resilience by seeing every challenge as a learning opportunity and invitation to grow
• We are driven by passion for product excellence for building great products with distinct customer value and apply continuous improvement and innovation

Your Responsibilities as Reinforcement learning Engineer :

• Formulate real-world causal inference and experimental design problems in terms of different RL algorithms, and independently conduct research to decide upon the best approach

Qualifications :

• Strong proficiency in C++, Python, and best practices in object-oriented design. Familiarity with PyTorch, OpenAI Gym, and RLlib toolkits.
• Experience in reinforcement learning and its libraries (Keras-rl, TF-agents, garage, Pyqlearningpy, ChainerRL…)
• Experience using a variety of RL algorithms: actor-critic, policy gradient, DQN, VFA, SARSA, Q-learning, model-based and model-free Monte Carlo, dynamic programming
• Expertise in statistical modeling, parameter optimization, and system identification techniques.
• Experience benchmarking and debugging complex software systems.
• Ability to work synergically and cross-functionally in large-scale software development projects.
• At ease with Git, Docker, and UNIX-based software development.

Education & Experience:

• MTech, or PhD in computer science, mathematics, physics, electrical engineering, machine learning or related fields; or equivalent research experience

Be part of our ZF team as [[Reinforcement learning Engineer]] and apply now!

Contact

[[Sriram Adluri]]