Research Scientist, Program Synthesis & Neuro-symbolic Methods 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, RoboticsIndustries

Requirements

  • Demonstrated ability to do high-quality scientific research (e.g., publications at top venues like NeurIPS, ICML, ICLR, POPL, PLDI, technical reports, impactful software projects)
  • Deep expertise in Program Synthesis & Neuro-symbolic Methods (e.g., domain-specific languages, program induction, verifiable control, neuro-symbolic integration, combining neural networks with symbolic reasoning or program generation)
  • Strong mathematical and computational foundations (e.g., probability theory, optimization, linear algebra, ability to implement complex algorithms from first principles)
  • Comfortable working across the research-to-deployment pipeline, from theoretical development through experimental validation
  • Progress with autonomy and intellectual curiosity (e.g., identify valuable research directions within the MARA mission, design experiments, drive projects to completion)
  • Value collaboration and knowledge transfer (e.g., share insights across specialization boundaries, help integrate diverse approaches into coherent systems)
  • Excited about solving real-world problems through embodied intelligence

Responsibilities

  • Develop computational theories of scientific reasoning applied to robotics and embodied intelligence
  • Advance frontiers of world modeling, reinforcement learning, program synthesis, and robotic control to create systems that learn, reason about, and interact with the physical world

Skills

Key technologies and capabilities for this role

Program SynthesisNeuro-symbolic MethodsReinforcement LearningWorld ModelingRobotic ControlCausal Models

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 remote position or does it require office work?

This information is not specified in the job description.

What skills and expertise are required for this role?

Candidates need deep expertise in Program Synthesis & Neuro-symbolic Methods including domain-specific languages, program induction, verifiable control, and neuro-symbolic integration, along with strong mathematical foundations in probability theory, optimization, and linear algebra, plus the ability to implement complex algorithms.

What is the company culture like at Basis?

Basis emphasizes a collaborative environment both internally and with external partners, focusing on tackling large problems as a team while putting human values first.

What makes a strong candidate for this Research Scientist role?

A strong candidate has a strong publication record in top venues like NeurIPS, ICML, ICLR, POPL, PLDI, combines theoretical depth with practical implementation skills, and demonstrates progress with autonomy and intellectual curiosity.

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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