Research Scientist, Reinforcement Learning at Basis

New York, New York, United States

Basis Logo
$120,000 – $180,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI Research, NonprofitIndustries

Requirements

  • Holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields
  • Strong background in reinforcement learning, planning, MDPs, optimal control, and sequential decision making
  • Experience in developing AI systems that combine neural and symbolic methods (highly valued)
  • Interest in foundational AI research and its applications to modeling, abstraction, and reasoning
  • Demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects
  • Excited about solving real world problems and having positive societal impact
  • Technically excellent, values probing concepts at their foundations, enjoys rigorous science while tinkering and exploring ideas
  • Enjoys collaborative work internally and with external partners on large problems

Responsibilities

  • Conduct independent and collaborative research focused on the MARA project
  • Develop new methods and algorithms for reinforcement learning, planning, and decision-making in AI systems
  • Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, and other domains
  • Disseminate research findings through academic publications and presentations at leading conferences
  • Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects
  • Develop and maintain open-source software
  • (Optionally) Publish and present findings in journals and conferences
  • Contribute to the culture and direction of Basis

Skills

Reinforcement Learning
Model-based RL
Planning
Exploration Strategies
AI
Machine Learning
Mathematical Principles
Computational Principles

Basis

Platform for developing financial applications

About Basis

Basis provides a platform that assists businesses in creating financial applications. The platform includes a variety of tools and integrations that simplify the process of building, testing, and deploying these applications. Clients, which range from financial institutions to fintech startups, can access the platform through a subscription model, paying for its features and support. Basis distinguishes itself from competitors by focusing on streamlining the development process and offering custom solutions tailored to the specific needs of its clients. The company's goal is to empower businesses to innovate and enhance their financial operations through improved application offerings.

1688 Pine St UNIT E211, San Francisco, CA 94109, USAHeadquarters
2022Year Founded
$6MTotal Funding
SEEDCompany Stage
Enterprise Software, FintechIndustries
1-10Employees

Risks

Emerging fintech startups offer similar tools at lower costs.
Regulatory scrutiny on data privacy may increase compliance costs.
Economic downturns could reduce demand for Basis's services.

Differentiation

Basis provides real-time cash flow profiles for B2B lenders.
The platform integrates data from revenue, accounting, and banking sources.
Basis offers a subscription-based model with premium services and custom solutions.

Upsides

Increased demand for real-time financial data analytics benefits Basis's offerings.
The rise of embedded finance aligns with Basis's focus on lending stacks.
Open banking trends enhance Basis's cash flow profile accuracy.

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