ML Engineer

About the Role

The company's mission is to build the future of construction through intelligent automation, and they're looking for talented individuals to help them achieve this goal. With a team that's doubled in size over the past year, Trunk Tools, Inc. is entering a period of hypergrowth, making this an exciting time to join their team.

What You Will Do

• Own and evolve core parts of the AI platform, including search, retrieval, and multi-agent orchestration
• Lead the design and build-out of a multi-agent system, defining new agent 'pillars' and how they collaborate in production
• Architect and scale document processing pipelines, including ingestion, parsing, chunking, indexing, and structured data extraction across heterogeneous document types
• Design and iterate on search and retrieval systems, grounded in real user behavior and product needs
• Help build and expand the 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
• Collaborate with cross-functional teams to ensure the successful implementation of AI solutions
• Stay up-to-date with industry trends and advancements in machine learning and AI

What We Are Looking For

• 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, ideally in distributed systems
• 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 in languages such as Python, Go, or similar
• Highly analytical, product-minded, and comfortable using data to drive decisions
• Experience in construction or other document-heavy industries is a plus

Nice to Have

• Experience with Kubernetes or similar distributed systems
• Familiarity with cloud-based infrastructure and containerization
• Knowledge of construction industry-specific challenges and workflows
• Experience with Agile development methodologies
• Certification in machine learning or AI-related fields

Benefits and Perks

• Competitive salary and stock option equity packages
• 4 medical plans to choose from, including a 100% covered option
• Dental and vision insurance
• Learning and growth stipend
• Flexible long-term work options, including remote and hybrid arrangements
• Unlimited PTO, with a focus on work-life balance
• Free lunch provided in the office
• IRL/in-person retreats throughout the year

• Tip: Showcase your experience in building and shipping production ML/AI systems, and be prepared to provide examples of your work.
• To stand out, highlight your ability to drive complex projects forward and your experience in agentic systems and document processing pipelines.
• When preparing for the interview, focus on your technical skills and your understanding of the construction industry and its challenges.
• Be prepared to discuss your experience with machine learning and AI-related tools and technologies.
• Don't be afraid to ask about the company culture and the team's dynamics during the interview process.
• Make sure to research the company and their products before the interview, and be prepared to ask informed questions.
• Be clear about your salary expectations and be prepared to negotiate based on your experience and qualifications.