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ML Engineer

Trunk Tools, Inc.

Remote May 5, 2026

Job Summary

Join Trunk Tools, a pioneering AI company transforming construction through intelligent automation. As a Machine Learning Engineer, you will lead the development of AI systems, architect document processing pipelines, design search and retrieval systems, expand knowledge graphs, and drive impactful projects.

Key Responsibilities

  • Own and evolve core parts of the AI platform
  • Lead the design and build-out of multi-agent systems
  • Architect and scale document processing pipelines
  • Design and iterate on search and retrieval systems
  • Build and expand the knowledge graph

Who This Role Suits

  • 7+ years of experience building production ML/AI systems
  • Proven track record of leading complex projects
  • Strong experience in document processing pipelines and knowledge graphs

Tips to Apply

  • Highlight your experience in building and shipping ML/AI systems
  • Demonstrate your ability to lead and drive impactful projects
  • Showcase your expertise in document processing and knowledge graph modeling

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Full Job Description

At Trunk Tools, we’re the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite.

Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we’re changing that by embedding AI directly into field operations.

Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges.

After years of building the “brain” of construction, we’re now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 65+ employees (25+ engineers), we’re scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point.

What you will do and achieve:

  • 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.

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 we offer

🎖️ 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

🏥 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance!

🤓 Learning & Growth stipend

🏠 Flexible long-term work options (remote and hybrid)

🥨 Free lunch provided in the office in NYC & Austin - 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

Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us.

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. 


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Skills

Frequently Asked Questions

This ML Engineer position is suitable for Mid-level professionals. Trunk Tools, Inc. is looking for candidates with proven experience in the key skills mentioned, typically 2-5+ years depending on the specific requirements.
Yes, this is a fully remote ML Engineer position. You can work from anywhere with a reliable internet connection.
Key skills for this ML Engineer position include: python, go, kubernetes. Having a strong foundation in these areas will make your application competitive. Experience with related tools and frameworks is also valuable.
To apply, click the 'Apply' button on this page, which will direct you to Trunk Tools, Inc.'s application portal. Have your resume, portfolio (if applicable), and a compelling cover letter ready.
Salary ranges vary based on experience and location. Check the job posting for specific compensation details, or research similar ML Engineer positions in your area.
Highlight relevant experience with python, go, kubernetes. Include specific projects, achievements, and measurable results. Tailor your resume to match the job description, focusing on how your background aligns with Trunk Tools, Inc.'s needs.
Most hiring processes take 2-4 weeks from application to offer. This may include initial screening, technical assessments, interviews, and background checks. Trunk Tools, Inc. will keep you informed throughout each stage.

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