Machine Learning Engineer, Trunk Tools

$140-200k

Offers Equity

AWS

GCP

Python

Elasticsearch

Tensorflow

Scikit-Learn

PyTorch

Senior and Expert level

Austin

New York

San Francisco Bay Area

Remote from US

AI for construction project management

Job no longer available

AI for construction project management

21-100 employees

FintechB2BArtificial IntelligenceProductivityConstruction

Job no longer available

$140-200k

Offers Equity

AWS

GCP

Python

Elasticsearch

Tensorflow

Scikit-Learn

PyTorch

Senior and Expert level

Austin

New York

San Francisco Bay Area

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

MS/PhD in Computer Science, Machine Learning, Artificial Intelligence or a related field
5+ years of experience in machine learning, with a focus on building production-ready systems
Proficiency in Python and strong experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch
Experience in deploying and scaling AI/ML models using cloud services such as AWS or GCP
Strong expertise in agent architectures, reinforcement learning, or other systems built on top of LLMs
Familiarity with retrieval-augmented generation (RAG) techniques and integration of external knowledge bases or APIs into AI agents
Experience with search and retrieval systems, including vector embeddings, graph databases, and elasticsearch
Interest in the construction industry
Bonus: Specialized expertise with Natural Language Processing, Computer Vision, Speech Processing, or another focus
Bonus: Experience with training or fine-tuning proprietary algorithms

What the job involves

Develop and deploy AI agents to solve real-world problems in the construction industry
Design and implement robust systems that incorporate human-in-the-loop and other feedback mechanism to enhance AI agent decision-making and ensure reliable interaction
Create and optimize pipelines for model deployment, monitoring, and scaling in production environments
Identify and model relationships between entities within and across different document types
Enhance retrieval-augmented generation (RAG) systems for context-aware AI agent responses
Design and conduct experiments to evaluate and improve model / agent performance and robustness in real-world scenarios
Stay updated with the latest advancements in LLMs, reinforcement learning, agentic workflows and multi-modal systems to enhance AI agent performance

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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