Senior RL/ML Software Engineer
Description For Senior RL/ML Software Engineer
EpiSci is at the forefront of tactical mission autonomy, pioneering innovations in defense, aerospace, and commercial domains. As a Senior RL/ML Software Engineer, you'll join a dynamic team developing cutting-edge AI technologies, including AI aviators for advanced aircraft like F-22 and F-16, revolutionary wireless tactical communication systems, and autonomous UAV swarms.
The role demands expertise in reinforcement learning, machine learning, and software development, particularly in C++ and Python. You'll be instrumental in designing and implementing state-of-the-art estimation and adaptive control algorithms, working on projects that directly impact national security challenges.
The position offers competitive compensation ranging from $150,000 to $180,000, based on location and experience. EpiSci values diversity and encourages applications from all backgrounds, even if you don't meet every qualification. The work environment is fast-paced and collaborative, with opportunities to work on transformative projects.
Key responsibilities include developing novel reinforcement learning algorithms, system integration, and testing autonomous aircraft systems. You'll need a strong academic background (Master's or PhD), experience with model-based reinforcement learning, and proficiency in multiple programming languages. The role requires U.S. citizenship and willingness to travel approximately 10% of the time.
EpiSci offers a comprehensive benefits package and emphasizes a diverse, inclusive workplace. The company's focus on tactical AI, combined with its work on advanced aircraft systems and autonomous technologies, makes this an exciting opportunity for those passionate about pushing the boundaries of AI and autonomy in mission-critical applications.
Responsibilities For Senior RL/ML Software Engineer
- Develop and deploy novel model-based reinforcement learning algorithms for single and multi-agent systems
- Collaborate with teams to integrate and deploy algorithms for integration and field-testing events
- Write autonomy software for real autonomous aircraft systems including UAVs
- Develop and implement novel model-based reinforcement learning methods using adaptive control theory and estimation
Requirements For Senior RL/ML Software Engineer
- Master's or PhD degree in machine learning/reinforcement learning with autonomy and robotics applications
- Experience with model-based and model-free reinforcement learning algorithms
- Experience in behavior prediction, intent estimation and behavior prediction
- Experience with Docker and containerized development environments
- Strong programming skills in C, C++, and Python
- Must be a U.S. Citizen
- Willing to travel approximately 10% of the time
- Strong analytical and problem-solving abilities
- Excellent communication and documentation skills
Benefits For Senior RL/ML Software Engineer
- Competitive base salary
- Equity opportunities
- Medical benefits
- Total compensation package
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