What are the responsibilities and job description for the Machine Learning Engineer position at Trunk Tools?
At Trunk Tools, we’re the leading AI company revolutionizing construction—the second-largest industry on earth. With deep traction among Fortune 500 general contractors, we have raised $30M from top investors including Redpoint and Innovation Endeavors.
Our mission is to build the future of construction through intelligent automation. Construction is a $13 trillion industry still operating primarily in analog—and we’re changing that by embedding AI directly into the jobsite.
Founded by builders and technologists (Stanford, MIT), our experienced team has delivered software used by 140,000 field professionals, impacting millions of users and contributing to $10B in built projects. We're deeply rooted in construction, with many of our team coming from the field.
After years of developing the “brain” of construction, we are now deploying AI agents and workflows to automate critical tasks—beginning with intelligent document processing, Q&A capabilities and rapidly expanding across operational processes. We currently have 50 employees, including 20 engineers, and have doubled our size in the last 12 months. We’re continuing to grow rapidly as we launch and scale multiple AI agents this year.
What you will do and achieve:
We realize applying for jobs can feel daunting at times. We don’t expect you to check all the qualification boxes and encourage you to apply if you have experience in some of the areas.
At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class.
Compensation Range: $140K - $200K
Our mission is to build the future of construction through intelligent automation. Construction is a $13 trillion industry still operating primarily in analog—and we’re changing that by embedding AI directly into the jobsite.
Founded by builders and technologists (Stanford, MIT), our experienced team has delivered software used by 140,000 field professionals, impacting millions of users and contributing to $10B in built projects. We're deeply rooted in construction, with many of our team coming from the field.
After years of developing the “brain” of construction, we are now deploying AI agents and workflows to automate critical tasks—beginning with intelligent document processing, Q&A capabilities and rapidly expanding across operational processes. We currently have 50 employees, including 20 engineers, and have doubled our size in the last 12 months. We’re continuing to grow rapidly as we launch and scale multiple AI agents this year.
What you will do and achieve:
- 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
- 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
- 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters.
- 💰 Competitive salary and stock option equity packages.
- 🏥 3 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance!
- 💰 401K
- 🤓 Learning & Growth stipend.
- 🥨 Free lunch provided in NYC and Austin office - you’ll never go hungry with us!
- 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation.
- 🏝 IRL / In-Person retreats throughout the year.
We realize applying for jobs can feel daunting at times. We don’t expect you to check all the qualification boxes and encourage you to apply if you have experience in some of the areas.
At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class.
Compensation Range: $140K - $200K
Salary : $140,000 - $200,000
