Reinforcement Learning Internship
Vor 7 Tagen
**Who we are**:
We are Phantasma Labs and we are building massive simulations to teach self - driving cars human behavior. We are a young venture backed startup with an ambitious team who have both worked in the tech industry in the areas of simulations and distributed systems. Now we are looking to hire a Research Engineer - Deep Learning.
We are on an exciting journey to build a deeply technical product which has the potential to accelerate deployment of self-driving cars in cities, make them safe enough for human beings to interact with and enable a plethora of other new mobility and infrastructure solutions. We are backed by world-renowned venture capitalists.
Please keep in mind that you do not need to tick all the boxes to apply. We value a growth mindset and have plenty of space to learn and grow at our company.
**Who we are looking for**:
- At least 3 months of time to intern full time
- Enrollment in a Master or PhD program in Computer Science, Engineering, Statistics, Operations Research, Data Science or similar
- At university, you are focusing on one or more:
- Reinforcement learning
- Learning from demonstrations/Imitation Learning
- Generative Adversarial Networks
- NLP
- Trajectory Prediction, Trajectory Forecasting
- Python programming skills
- Critical thinking skills
- Motivation to work in a research heavy environment
- Ability to work in a remote environment
- Being excited about new technologies, ambitious in pursuing solutions and humble and respectful in sharing knowledge with others
- You are able to communicate fluently in English
- Growth mindset
- Team player
**What will make you stand out**:
- Reinforcement learning focus in your studies
**What we are offering**:
- This internship is paid to enable people from different backgrounds to be able to join
**Daily tasks at Phantasma**:
- Developing new features to improve our current workflow
- Building a PoC to answer open research questions
**About us**:
At Phantasma Labs we value diversity and we want to encourage everyone to, especially individuals from underrepresented backgrounds. We strive to create a candid and inclusive work environment where the best talents can thrive to reach their full potential. We want to build software as diverse as the world.
If you have an additional necessity or disability that requires accommodation, please let us know so we can adjust the interview process to your needs.
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