Basis · 1 day ago
Engineering Leader - Applied ML
New York, NY
Full-time
Onsite
Director/Executive
$100K/yr - $300K/yrBasis is a company that equips accountants with AI agents to manage real workflows, having recently raised $34 million to scale their operations. They are looking for an Engineering Leader for their Applied ML team to guide technical goals and foster a successful engineering culture. The role involves hands-on leadership, system design, and coaching engineers to ensure sustainable success.
AccountingArtificial Intelligence (AI)Information Technology
Responsibilities
Build and lead the Applied ML organization
Hire and grow a world-class team of ML engineers. Set clear goals and coach continuous development
Build a culture of rigor, iteration, and shared learning where people move fast while staying grounded in reality
Establish clear processes for experimentation, evaluation, and delivery. Make success criteria objective and comparable
Be a source of clarity and stability when things are ambiguous or difficult
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
Work closely with Research, Product, and Platform to turn insights into production systems with measurable impact
Push for clean abstractions, understandable systems, and deep observability. Make complexity visible and manageable
Set and maintain high standards for experimentation, documentation, and decision quality
Continuously improve team processes (reviews, onboarding, retros, performance cycles) to increase speed and quality
Coach engineers not just to build better models, but to think better about systems
Qualification
Required
Build and lead the Applied ML organization
Hire and grow a world-class team of ML engineers. Set clear goals and coach continuous development
Build a culture of rigor, iteration, and shared learning where people move fast while staying grounded in reality
Establish clear processes for experimentation, evaluation, and delivery. Make success criteria objective and comparable
Be a source of clarity and stability when things are ambiguous or difficult
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
Work closely with Research, Product, and Platform to turn insights into production systems with measurable impact
Elevate the craft
Push for clean abstractions, understandable systems, and deep observability. Make complexity visible and manageable
Set and maintain high standards for experimentation, documentation, and decision quality
Continuously improve team processes (reviews, onboarding, retros, performance cycles) to increase speed and quality
Coach engineers not just to build better models, but to think better about systems
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 to new situations
Company-builder: Eager to lay groundwork both technically and culturally as we rapidly scale
Office lover: Prefers face-to-face interactions in our NYC office
Benefits
Premium Medical, Dental, and Vision coverage
Life Insurance
6 coaching & 6 therapy sessions through Spring Health
Unlimited PTO + 12 paid company holidays
Daily meal stipends
A fully stocked kitchen
$300 toward your custom desk setup
Pre-tax commuter benefits
401(k) retirement plan
Monthly office activities
Frequent optional team happy hours
Company
Basis
Basis provides AI agents that automate accounting workflows for professionals.
Founded in 2023
11-50 employees
H1B Sponsorship
Basis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
2022 (5)
2020 (1)
Funding
Current Stage
Early StageTotal Funding
$37.6MKey Investors
Khosla VenturesBetter Tomorrow Ventures
2024-12-17Series A· $34M
2023-10-18Seed· $3.6M
2023-03-20Pre Seed
Leadership Team
Matt Harpe
Co-Founder
Mitchell Troyanovsky
Co-Founder
Recent News
2025-08-15
Company data provided by crunchbase