Engineering Leader - 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

Think in systems—models, people, organizations—and can operate across all three
Care about clarity and iteration more than flash; you ship, learn, and refine relentlessly
Have conviction in your decisions but stay open to being wrong
Are driven by both technical excellence and the growth of those around you
See ambiguity as an invitation to lead
Process-oriented: Skilled at breaking down complex problems into clear, repeatable steps and managing execution
Strong communicator: Clear in explaining concepts and comfortable collaborating across all levels of seniority
First-principles reasoner: Question assumptions and apply lessons creatively

Responsibilities

Build and lead the applied-ML organization: Hire and grow a world-class team of ML and systems engineers; set crisp goals and coach continuous development
Foster a culture of rigor, iteration, and shared learning—where people move fast and stay grounded in reality
Establish clear processes for experimentation, evaluation, and delivery; make success criteria objective and comparable
Be a source of clarity and calm when things are ambiguous or hard
Drive ML systems strategy and execution: Define and evolve our multi-agent architecture: autonomy boundaries, orchestration logic, context management, and safety layers
Own evaluation infrastructure—offline, online, and hybrid—that lets us ship models with confidence and traceability
Integrate retrieval, memory, and context management into production-grade agent loops; ensure stability under real workloads
Align closely with Research, Product, and Platform to translate insights into production systems with measurable impact
Elevate the craft: Insist on clean abstractions, legible systems, and deep observability; make complexity visible and manageable
Set and uphold high standards for experimentation, documentation, and decision quality
Continuously improve team processes—reviews, onboarding, retros, performance cycles—to compound speed and quality
Coach engineers not just to build better models, but to think better about systems

Skills

Key technologies and capabilities for this role

Machine LearningML SystemsAI AgentsRetrievalOrchestrationEvaluationObservabilitySystems EngineeringTeam Leadership

Questions & Answers

Common questions about this position

Is this a remote position or does it require being in the office?

This information is not specified in the job description.

What salary or compensation can I expect for this role?

This information is not specified in the job description.

What key skills and experiences are required for this Engineering Leader role?

The role requires expertise in building agentic ML systems, multi-agent architecture, orchestration logic, context management, safety layers, evaluation infrastructure, and production-grade systems, along with hands-on leadership in hiring, coaching, and driving technical direction.

What is the company culture like at Basis?

Basis fosters a culture of rigor, iteration, shared learning, first principles thinking, tight collaboration across teams, high standards for clean abstractions, observability, and code that's easy to reason about, while moving fast and staying grounded in reality.

What makes a strong candidate for this Engineering Leader position?

Strong candidates excel in hands-on leadership, building and growing high-performing ML and systems engineering teams, driving strategy and execution across research and production, making hard trade-offs, and upholding high standards for systems design and observability.

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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