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AI Research Scientist - Sequential Decision Making

3 days ago

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Logo of Phaidra

Phaidra

Phaidra is an industrial AI company$1. .$1

Artificial Intelligence • Process Controls & Optimization • Machine Learning • Industrial Automation

51 - 200

Description

• Phaidra is building AI-powered control systems for industrial automation. • Research Scientists lead in developing novel algorithmic architectures for intelligent control systems. • Collaborate with AI researchers on applied real-world problems. • Design and implement prediction and decision algorithms. • Develop and maintain benchmarking platforms for algorithmic performance evaluation. • Report and present research findings both internally and externally. • Mentor and guide Research Engineers to apply findings in industrial domains.

Requirements

• PhD in a technical field or equivalent practical experience, with demonstrated expertise in Planning, Reinforcement Learning, Optimization. • 1+ years of applied research experience. • Strong background in software engineering, with proficiency in Python and open-source ML libraries such as Keras, TensorFlow, PyTorch, scipy, scikit-learn, numpy, pandas, and ray. • Prior experience with research projects and contributions to open-source software. • Alignment with our company values: curiosity, ownership, transparency & directness, outcome-based performance, and customer empathy.

Benefits

• Fast-paced and team-oriented environment where you will be instrumental in the direction of the company. • Phaidra is a 100% remote company with a digital nomad policy. • Competitive compensation & equity. • Outsized responsibilities & professional development. • Training is foundational; functional, customer immersion, and development training. • Medical, dental, and vision insurance (exact benefits vary by region). • Unlimited paid time off, with a minimum of 20 days off per year requirement. • Paid parental leave (exact benefits vary by region). • Home office setup allowance, coworking space stipend, and company MacBook.

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