Research Scientist, World Models and RL at Basis

New York, New York, United States

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$120,000 – $180,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI Research, NonprofitIndustries

Requirements

Researchers holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields
Strong background in areas such as reinforcement learning, program synthesis, probabilistic programming, machine learning, AI reasoning systems, and cognitive modeling
Experience in developing AI systems that combine neural and symbolic methods is highly valued
Interest in foundational AI research and its applications to modeling, abstraction, and reasoning
Individuals with a 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, value probing concepts at their foundations, aspire to do rigorous, high-quality, robust science, not afraid to tinker, make mistakes, and explore radically different ideas
Enjoy working collaboratively with others on problems larger than ones they can tackle alone

Responsibilities

Conduct independent and collaborative research focused on the MARA project
Develop new methods and algorithms for modeling, abstraction, and reasoning in AI systems
Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, the Abstract Reasoning Corpus (ARC), and other domains
Disseminate research findings through academic publications and presentations at leading conferences
Provide mentorship to junior team members and contributors

Skills

Key technologies and capabilities for this role

Reinforcement LearningWorld ModelsAI ResearchMathematical ModelingComputational PrinciplesMachine Learning

Questions & Answers

Common questions about this position

What is the salary range for the Research Scientist position?

The salary range is $120K - $180K.

Is this a full-time position, and what about remote work?

This is a full-time position. Information about remote work or location policy is not specified in the job description.

What qualifications and skills are required for this role?

Candidates must hold a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields, with a strong background in reinforcement learning, program synthesis, and probabilistic methods.

What is the company culture like at Basis?

Basis emphasizes collaboration both internally and with external partners, values technically excellent individuals who probe concepts deeply, aspire to rigorous science while tinkering and exploring ideas, and puts human values first in a new kind of collaborative organization.

What makes a strong candidate for this Research Scientist role?

Strong candidates hold a PhD in relevant fields, have a strong background in reinforcement learning, program synthesis, and probabilistic areas, are technically excellent, enjoy collaboration, and are eager to probe foundational concepts through rigorous yet exploratory science.

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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