Senior RL/ML Software Engineer
Description For Senior RL/ML Software Engineer
Applied Intuition, a leading vehicle software supplier, is seeking a Senior RL/ML Software Engineer to join their innovative team. Founded in 2017, the company has established itself as a trusted partner for 18 of the top 20 global automakers, delivering AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack solutions.
The role demands expertise in reinforcement learning and machine learning, with a focus on developing cutting-edge algorithms for autonomous systems. You'll be working on complex challenges in the automotive and defense sectors, creating and implementing state-of-the-art estimation and adaptive control algorithms. The position requires strong programming skills in C++ and Python, and experience with containerized development environments.
As a Senior RL/ML Software Engineer, you'll be responsible for developing novel reinforcement learning algorithms, integrating solutions for field testing, and creating simulated models for tactical missions. The role offers an opportunity to work on real-world applications of AI and autonomy, with direct impact on the future of autonomous vehicles.
The position offers competitive compensation, including a base salary range of $150,000 to $200,000 USD annually, plus equity and comprehensive benefits. The role is based in Mountain View, CA, with an in-office work arrangement. This is an excellent opportunity for someone passionate about autonomous systems and AI to join a company at the forefront of vehicle software innovation.
The ideal candidate will have an advanced degree in machine learning or related field, hands-on experience with behavior prediction and intent estimation, and a track record of taking autonomy capabilities from ideation to deployment. U.S. citizenship is required for this position.
Responsibilities For Senior RL/ML Software Engineer
- Develop novel model-based reinforcement learning algorithms for multi-agent systems
- Integrate and deploy algorithms for integration and field testing events
- Write autonomy software that operates group 1-5 unmanned aerial vehicles (UAVs)
- Create simulated models to accomplish tactical military missions
- Design models that use techniques from adaptive control theory and estimation
Requirements For Senior RL/ML Software Engineer
- Master's or PhD degree in machine learning/reinforcement learning
- Experience in developing model-based and model-free reinforcement learning algorithms
- Hands on experience of behavior prediction, intent estimation
- Experience taking new autonomy capabilities from ideation through fielding
- Experience with Docker and containerized development environments
- Strong programming skills in C, C++, and Python
- Experience with Linux-based operating systems
- Must be a U.S. Citizen
Benefits For Senior RL/ML Software Engineer
- Equity (options and/or restricted stock units)
- Comprehensive health insurance
- Dental insurance
- Vision insurance
- Life and disability insurance
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off
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