AI Research Scientist (Sequential Decision Making)
Skills
- Expertise in reinforcement learning, planning, and optimization.
- Proficient in Python and ML libraries including Keras, TensorFlow, PyTorch, scipy, scikit-learn, numpy, pandas, and ray.
- Experience contributing to research projects and open-source software.
- Strong software engineering skills.
- Excellent communication and collaboration skills.
Responsibilities
- Collaborate on applied AI research projects addressing real-world industrial problems.
- Design and implement prediction and decision algorithms for controlling complex non-linear dynamic systems.
- Develop and maintain benchmarking platforms for algorithm performance evaluation.
- Communicate research findings clearly both internally and externally.
- Participate in and organize collaborative research initiatives.
- Maintain relationships with external research collaborators and labs.
- Mentor Research Engineers in applying research to industrial domains.
Education
- PhD in a technical field or equivalent practical experience.
Benefits
- Competitive compensation including equity.
- 100% remote work with a digital nomad policy.
- Fast-paced, team-oriented environment with outsized responsibilities.
- Comprehensive onboarding and professional development.
- Medical, dental, and vision insurance (region dependent).
- Unlimited paid time off with a minimum of 20 days required.
- Paid parental leave (region dependent).
- Home office setup allowance, coworking stipend, and company MacBook.
Average salary estimate
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