<h2>About Cambio</h2>Cambio is a software platform for real estate decarbonization. We help commercial real estate owners bring their portfolios to net-zero with an AI-driven sustainability, asset, and investment management platform. We're backed by Y Combinator, Google, and Stanford — and we're the fastest-growing startup in our category.<h2>The role</h2>We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it.<h2>What you'll be doing</h2><ul style=""><li>Build AI features end-to-end, from prototype to production</li><li>Design and run evals to measure and improve model/feature quality</li><li>Build and maintain data + inference pipelines that power AI features in production</li><li>Experiment with new models, prompting, and retrieval approaches to improve accuracy and cost</li><li>Support and collaborate with your teammates</li></ul><h2>Who you are</h2><ul style=""><li>An A-player: low ego, curious, and serious about your craft</li><li>You are outcome driven</li><li>Work isn't in opposition to life for you - it's part of your life because you genuinely enjoy it</li><li>You ship through obstacles — roadblocks are part of the problem to solve</li><li>You move with urgency and close the week with visible impact</li><li>You're relentlessly curious and treat truth-seeking as a discipline</li><li>You believe iteration speed is quality - the way to build great things is to build fast and learn faster</li><li>You show up for your teammates, in person. You unblock before being asked and never let someone stay stuck</li><li>You own your work end-to-end - proactive about visibility, proud of your progress, and you over-communicate until everyone is fully aligned</li></ul><h2>What do you bring</h2><ul style=""><li>Experienced in Python web development (Django is a bonus)</li><li>Someone who's shipped AI features and understands the eval challenges that come with them</li><li>Hands-on experience with LLMs/generative AI (prompting, fine-tuning, or RAG)</li><li>Comfortable with evaluation frameworks and measuring model quality in production</li><li>Familiar with vector databases and retrieval-based architectures</li><li>Understands the tradeoffs between model cost, latency, and accuracy</li></ul><h2>What we offer</h2><ul style=""><li>Competitive compensation and startup equity</li><li>Flexible time off</li><li>$1,200 annual learning budget</li><li>Catered lunch</li><li>Best workstation in beautiful offices in Waterloo, New York, and San Francisco</li></ul>

At Cambio, we build&nbsp;software to help commercial real estate companies and their corporate tenants decarbonize their buildings. We're working with some of the largest institutions in commercial real estate, such as Nuveen Real Estate, Madison International Realty, and Beacon Capital Partners.Cambio was built by former commercial real estate investors with 14 years of aggregate experience at Goldman, KKR and Oxford Properties / OMERS. We deeply understand the pain points experienced by the commercial real estate industry when implementing sustainability initiatives portfolio-wide and are building the solution we wished we had while running multi-billion dollar portfolios globally. Our mission is to bring a data science approach to commercial real estate in order to increase the pace of retrofits that get us to net zero by 2050.We finished YC (S22) and raised our seed round at a latest valuation of $35M, with participation from Fifth Wall, Peterson Ventures, Pear, CRV, NFX, Accel, Agya Ventures and climate / real estate executives and founders as angels.

AI Engineer

<h2>About Cambio</h2>Cambio is a software platform for real estate decarbonization. We help commercial real estate owners bring their portfolios to net-zero with an AI-driven sustainability, asset, and investment management platform. We're backed by Y Combinator, Google, and Stanford — and we're the fastest-growing startup in our category.<h2>The role</h2>We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it.<h2>What you'll be doing</h2><ul><li>Build AI features end-to-end, from prototype to production</li><li>Design and run evals to measure and improve model/feature quality</li><li>Build and maintain data + inference pipelines that power AI features in production</li><li>Experiment with new models, prompting, and retrieval approaches to improve accuracy and cost</li><li>Support and collaborate with your teammates</li></ul><h2>Who you are</h2><ul><li>An A-player: low ego, curious, and serious about your craft</li><li>You are outcome driven</li><li>Work isn't in opposition to life for you - it's part of your life because you genuinely enjoy it</li><li>You ship through obstacles — roadblocks are part of the problem to solve</li><li>You move with urgency and close the week with visible impact</li><li>You're relentlessly curious and treat truth-seeking as a discipline</li><li>You believe iteration speed is quality - the way to build great things is to build fast and learn faster</li><li>You show up for your teammates, in person. You unblock before being asked and never let someone stay stuck</li><li>You own your work end-to-end - proactive about visibility, proud of your progress, and you over-communicate until everyone is fully aligned</li></ul><h2>What do you bring</h2><ul><li>Experienced in Python web development (Django is a bonus)</li><li>Someone who's shipped AI features and understands the eval challenges that come with them</li><li>Hands-on experience with LLMs/generative AI (prompting, fine-tuning, or RAG)</li><li>Comfortable with evaluation frameworks and measuring model quality in production</li><li>Familiar with vector databases and retrieval-based architectures</li><li>Understands the tradeoffs between model cost, latency, and accuracy</li></ul><h2>What we offer</h2><ul><li>Competitive compensation and startup equity</li><li>Flexible time off</li><li>$1,200 annual learning budget</li><li>Catered lunch</li><li>Best workstation in beautiful offices in Waterloo, New York, and San Francisco</li></ul>

AI Engineer

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Cambio

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