Tech Lead - Machine Learning at Basis

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Accounting, TechnologyIndustries

Requirements

Experience with retrieval, embeddings, and structured context management
Familiarity with eval frameworks, vector stores, and experiment tracking
Comfort working with observability stacks (metrics/logs/traces)
Exposure to multi-model routing, guardrails, and cost/latency optimization
Prior startup or high-velocity environment experience

Responsibilities

Define and uphold the technical vision: Own the architecture for a core ML capability (e.g., agent orchestration, eval systems, or context stack); write and review critical code; establish standards for structure, interfaces, and testing; drive design reviews; create frameworks and abstractions
Build excellent systems and elevate others: Partner with engineers across ML, Research, and Platform to implement robust, observable, and maintainable systems; teach architectural thinking; design processes for rigorous reasoning; ensure high-quality work products
Lead by example in technical execution: Run high-velocity experiments; work with product and accounting experts to define systems; contribute across the stack (prompt orchestration, retrieval, evaluation pipelines, observability); document decisions and teach through clarity

Skills

Key technologies and capabilities for this role

Machine LearningAI AgentsAgent OrchestrationEvaluationsContext ManagementRetrievalMemory ManagementObservabilitySystem ArchitectureCode Review

Questions & Answers

Common questions about this position

What is the salary or compensation for the Tech Lead - Machine Learning role?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills are required for the Tech Lead - Machine Learning position?

The role requires expertise in architecting ML systems like agent orchestration, evaluations, and context management, strong coding and code review abilities, and skills in designing abstractions, frameworks, and processes for clarity, observability, and maintainability.

What is the company culture like at Basis?

Basis emphasizes working from first principles with tight loops alongside Research, Product, Platform, and Accounting SMEs, focusing on systems thinking, observability, clear abstractions, and code that's easy to reason about, while valuing clarity, precision, and craft.

What makes a strong candidate for this Tech Lead role?

Strong candidates hold technical vision, architect and build robust ML systems, lead by example in execution, teach others architectural thinking, and drive high-velocity experiments while upholding high standards for design and code quality.

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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