Research Scientist - Reinforcement Learning
INAIT SA, Switzerland

Our startup INAIT, based in Lausanne, Switzerland, is seeking a permanent and full-time Research scientist with focus on (Deep) Reinforcement Learning. Are you interested in supporting both our research and product teams in exciting applications of cutting-edge AI? Then come join us!

Note: Applications with incomplete cover letters are not taken into consideration

Major duties and responsibilities:

• Apply state of the art machine learning and deep learning techniques to automatically learn strategies based on streams of data
• Conduct and apply RL research for actionizing timeseries forecasts (e.g., automatic trading, asset optimization, preventive maintenance, ...)
• Contribute production level code to INAIT software stack
• Provide detailed analysis and present results in a clear manner

Requirements

Essential experience required:

• Developing and optimizing machine learning models in python using frameworks such as PyTorch, TensorFlow, scikit-learn, ...
• Experience in solving complex tasks (in difficulty and scale) using (deep) reinforcement learning
• Software development life-cycle including unit testing, continuous integration, version control, debugging and documentation

Essential skills:

• Robust analytical, mathematical and statistical skills
• Strong problem solving skills with an emphasis on product development
• Strong drive to learn and master new technologies and techniques
• Fluent communication in English (written and spoken)
• Excellent communication and presentation skills
• Proven ability to work both independently and in team-based environments

Preferred:

• Established publication record at well-known machine learning conferences
• PhD in mathematics, engineering, computer science or equivalent with 3+ years of experience in machine learning
• Professional experience in applying RL to trading, dynamic pricing, or similar
• Successful track record in designing, developing and maintaining software projects
• Previous experience in deploying machine learning algorithms on devices
• Expert knowledge in fundamental mathematics and statistics used in machine learning methods

Where: Lausanne, Switzerland

Start date: As soon as possible

Activity rate: 100%

Duration of contract: CDI

Competitive salary amp; benefits

Cutting edge research, Positive work environment, Hybrid work model (combination of WFH and work from the office),.

Job Rewards and Benefits