Remote Applied Scientist
DEF CON
π΅ $150k-$400k
πRemote - Worldwide
Please let DEF CON know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join our team at DEFCON AI as an Applied Scientist and contribute to driving innovation through advanced mathematical modeling.
Requirements
- Demonstrated expertise in building mathematical models for complex real-world problems
- The ability to write efficient, clean, and maintainable code in one or many programming languages with the ability and willingness to learn more (Python, Java, Rust, C++, etc.)
- Excellent written and verbal communication skills - with emphasis on the ability to effectively communicate highly technical concepts to both technical and non-technical audiences alike
- An advanced degree in Computer Science, Engineering, or a related technical field. Alternative to traditional educational pathways, a well-documented portfolio of projects you could share and speak to is acceptable
- U.S. citizenship is required
Responsibilities
- Integrate with an interdisciplinary team of experts in optimization and simulation to design, build, and optimize models that deliver high-quality, real-world insights
- Design and implement novel Reinforcement Learning algorithms and approaches to solve sequential decision problems, ensuring efficiency and scalability
- Stay up to date with the latest advancements in reinforcement learning and implement best practices to enhance our ML infrastructure
- The communication of complex technical concepts and findings to non-technical stakeholders clearly and concisely
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions
Preferred Qualifications
- Leadership experience driving Reinforcement Learning system development
- Experience implementing Reinforcement Learning in complex domains β preferably with collaborative multi-agent systems
- Experience with cloud-based SAAS products and pipelines
- A Ph.D. with a focus on Reinforcement Learning or a relevant area (Markov Decision Processes, Sequential Decision Analytics, Approximate Dynamic Programming, Robust Optimization, etc.)
- Publications in scientific journals and/or conferences are preferred
Benefits
- 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family
- Paid maternity and paternity for 14 weeks at employees' normal pay
- Unlimited PTO, with management approval
- A fully remote, results-based work environment
- Opportunities for professional development and continued learning
- Occasional travel to our offices in Washington D.C or alternative locations to collaborate with your team in person
- Optional 401K, FSA, and equity incentives available
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