Senior Machine Learning Engineer, Trunk Tools

$183-246k

Salary and equity dependent on location

Kubernetes

Python

Senior and Expert level

Austin

New York

Remote from US

AI for construction project management

Open for applications

AI for construction project management

21-100 employees

FintechB2BArtificial IntelligenceProductivityConstruction

Open for applications

$183-246k

Salary and equity dependent on location

Kubernetes

Python

Senior and Expert level

Austin

New York

Remote from US

21-100 employees

FintechB2BArtificial IntelligenceProductivityConstruction

Company mission

To turn unstructured construction data into actionable insights through intelligent agents that automate tedious tasks.

Job

Company

Role

Who you are

7+ years of experience building and shipping production ML/AI systems
Proven track record of leading complex, ambiguous projects and driving them to impact
Strong experience with agentic systems, LLM-based applications, or orchestration frameworks
Deep experience in document processing pipelines (e.g., parsing, chunking, indexing, structured extraction), ideally in distributed systems (Kubernetes or similar)
Experience building or working with knowledge graphs / provenance graphs and modeling relationships between entities
Background in one or more of: search/ranking systems, NLP, recommendation systems, or large-scale data/ML infrastructure
Strong coding skills (Python, Go, or similar) with an emphasis on production systems
Highly analytical, product-minded, and comfortable using data to drive decisions
Bonus: experience in construction or other document-heavy industries

What the job involves

Own and evolve core parts of our AI platform, spanning search, retrieval, and multi-agent orchestration
Lead the design and build-out of a multi-agent system, including defining new agent “pillars” and how they collaborate in production
Architect and scale document processing pipelines (Kubernetes-based), including ingestion, parsing, chunking, indexing, and structured data extraction across heterogeneous document types
Design and iterate on search and retrieval systems (ranking, query understanding, QA) grounded in real user behavior and product needs
Help build and expand our knowledge graph, modeling entities and relationships to power downstream reasoning and retrieval
Drive ambiguous, high-impact projects end-to-end, from problem definition through experimentation and productionization
Establish and improve evaluation and experimentation frameworks to measure system quality and guide iteration
Write clean, maintainable, production-grade code and raise the bar for engineering quality across the team

Our take

The US construction industry is worth over $850B, but it’s plagued by a worsening short staffing issue that’s leading to spiralling costs, and a real chance of decreased on-site safety. This is something that Trunk Tools is looking to address.

Trunk Tools is revolutionizing construction documentation with an AI-powered platform that automates the organization of unstructured project files. It processes documents like PDFs, spreadsheets, and blueprints. Which also allows teams to spot any potential project issues and surface insights.

With a growing customer base and substantial funding, Trunk Tools is really making a name for itself. Recent capital acquired will help it further expand its team and platform and put it in a position to lead the construction software market.

Steph

Company Specialist at Welcome to the Jungle

Company

Company HQ

SoHo, New York, NY

Leadership

Sarah Buchner

(Founder & CEO)

A Stanford business grad who worked as a Carpenter with HB Tischlerei, then served as Lead Project Manager at Neumayer ZT. Subsequently held various senior roles at STRABAG, including Group Leader of Digitization / Digital Consultancy.

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