At Trunk Tools, we are tackling the massive $13 trillion+ construction industry. We’re an exceptional team of serial entrepreneurs, brought together by our shared mission: automating construction. Our founding team (SpaceX, Stanford, MIT, Carta, etc.) has successfully built and deployed software in construction for 140k+ users, millions of users beyond the construction space, and worked on +$2 billion of built-environment projects. We aren’t another out-of-touch tech startup, most of our team comes from construction.

Interested in this role You can find all the relevant information in the description below. We spent the last few years building the brain behind construction. Now we are deploying workflows/agents, starting with Q&A document chatbot, to be ingrained in construction teams’ workflows, ultimately to automate construction. Given our immense traction with several Fortune 500 construction companies, we are doubling our team (currently 50+ FTE) in order to deploy several more agents this year. You will have an opportunity to drive the transformation of a multi-trillion-dollar industry full of waste, risks and inefficiencies. What you will do and achieve: Develop and manage infrastructure for distributed model training (e.g., SageMaker, Ray, Kubernetes).

Deploy ML models using containerization (Docker), orchestration tools (Kubernetes, ECS), and serving frameworks

Integrate ML workflows seamlessly with CI/CD pipelines for efficient model building, testing, and deployment

Create and maintain robust data and ML pipelines using Prefect, Airflow, or custom orchestration tools

Implement comprehensive experiment tracking (MLflow, Weights & Biases) and observability systems (Arize, Evidently)

Establish effective monitoring, logging, and governance practices for ML systems.

Who you are: BS/MS in Computer Science, Data Science, or related technical discipline

5+ years experience in ML Operations, with at least 3 years focused on scalable AI/ML deployments

Strong proficiency with cloud infrastructure (preferably AWS), container technologies (Docker, Kubernetes), and modern MLOps frameworks

Extensive experience managing GPU and CPU resources for specialized AI workloads (Computer Vision, NLP, or LLM fine-tuning)

Practical experience with data quality and performance monitoring in production ML environments

Bonus: Experience designing data architectures optimized for AI/ML (vector, graph databases)

Bonus: Familiarity with RAG systems and agentic applications

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.

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.

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. 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.

#J-18808-Ljbffr