Applied Reinforcement Learning Scientist
Confirmed live in the last 24 hours
Red Cell Partners

51-200 employees

Incubates scalable tech companies for healthcare and national security
Company Overview
Red Cell Partners stands out as a leading incubation firm, specializing in the creation of technology-driven companies that are significantly impacting the healthcare and national security sectors. Their competitive advantage lies in their commitment to addressing critical national issues, which is reflected in their development of potent tools and solutions. The company's culture is defined by a shared sense of duty and a strong belief in the transformative power of technology, fostering an environment that encourages growth and scalability.
AI & Machine Learning
Aerospace

Company Stage

N/A

Total Funding

N/A

Founded

2020

Headquarters

Washington, District of Columbia

Growth & Insights
Headcount

6 month growth

15%

1 year growth

45%

2 year growth

306%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
Java
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • Proven experience in a leadership role driving RL system development and optimization.
  • Demonstrated expertise in building RL models for complex real-world problems and building robust training pipelines.
  • Extensive experience implementing reinforcement learning in complex domains – preferably with multi-agent systems or models that require temporal abstraction.
  • Proficiency in programming languages like Python, Java or C++ and the ability to write efficient, clean, and maintainable code.
  • Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
  • A Master's degree in Computer Science, Engineering, or a related field. A Ph.D. with a focus in Reinforcement Learning or a relevant area with a publication history is ideal.
  • U.S. citizenship is required
Responsibilities
  • Integrate with an interdisciplinary team of experts in optimization and simulation to design, build, and optimize models to deliver high-quality, real-world results.
  • Design and implement novel RL algorithms and approaches to solve complex problems, ensuring efficiency and scalability.
  • Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of RL models.
  • Stay up-to-date with the latest advancements in reinforcement learning and implement best practices to enhance our ML infrastructure.
  • Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
  • Collaborate with cross-functional teams to understand business requirements and translate them into actionable ML solutions.
Desired Qualifications
  • Ph.D. with a focus in Reinforcement Learning or a relevant area with a publication history