As a Machine Learning Engineer, you'll build and enhance features for a search stack, design ML/NLP solutions, and implement an experimentation framework while ensuring code quality.
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.
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 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:- Build and grow various features of our search stack like search ranking models, query parsing/understanding, natural language question answering, etc.
- Deeply understand search usage and user needs and identify gaps in the search stack
- Design, experiment with, and iterate on ML/NLP solutions to address gaps in the search stack
- Design and evolve experimentation framework to help evaluate improvements the search stack
- Write robust code that’s easy to read, maintain and test
- BA/BS in computer science, or related degree (math, physics)
- 5+ years of experience, especially with knowledge graphs and/or search
- Strong analytical skills and ability to work with data
- Experience working in fields like recommendation systems, natural language processing, applied machine learning, large scale production search/ranking system, large data pipelines or other related systems
- Have strong coding skills (for example in Go/Python/Java/C++ etc)
- Interest in construction
- Experience in building applications on top of LLMs in a production environment
- 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; currently we're 16 team members
- 💰 Competitive salary and stock option equity packages
- 🏥 3 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 - 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
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