Research Engineer, Operations at Basis

New York, New York, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI Research, NonprofitIndustries

Requirements

Excellent programming and software engineering skills, especially in Julia, Python, C++, ML-family languages
Demonstrated ability to drive software projects from start to finish
Comfortable digesting research from PL and/or ML venues, such as PLDI, POPL, NeurIPS, or ICML
Progress with a high degree of autonomy and under uncertainty
Experience with LLM-powered automation, including using language models (OpenAI API, Anthropic Claude, LangChain) for intelligent automation, workflow orchestration, and agent-based systems
Demonstrated significant technical achievements within ML engineering (e.g., implemented variants of newly published techniques from scratch, built systems/workflows for training large models distributed across many machines, built systems spanning all levels of the programming stack from high-level API infrastructure to close-to-the-metal code)
Understand research and operational workflows well enough to identify high-impact automation opportunities (e.g., worked in research environments, built productivity tools, supported technical teams through infrastructure)
Skilled at user-centric design for internal tools (seek user feedback, iterate based on real usage, measure success by adoption and time saved)
Excited about force-multiplying impact

Responsibilities

Build researcher productivity tools including experiment tracking, literature research automation, computational environment management, and integration with other systems
Create internal tooling, automation, and measurement systems that multiply researcher productivity and operational efficiency
Automate proposal and CRM workflows
Provide analytics that inform strategic decisions as Basis scales
Build tools from researcher productivity tools to GTM automation to analytics infrastructure
Transform Basis operations from manual processes to automated systems that enable growth without diminishing returns

Skills

Python

LLM

Automation

Internal Tooling

Analytics

CRM

Workflow Automation

Software Engineering

Research Workflows

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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