About Us

Handoff is a new mobile & web app for the $500 billion market of remodeling contractors in the US. We use generative AI technology to provide remodelers a fast, accurate, and intuitive way to create construction cost estimates in minutes. There are 600,000+ contractors in the US who could be users of Handoff, and we're looking for teammates as passionate as we are to help us win this market.

Handoff is developed by 1build, a venture-backed technology company with origins in Silicon Valley. 1build has established itself as the market leader for construction pricing data and integrations with the top construction materials suppliers. The team at 1build is distributed worldwide and includes talent from top technology companies such as Apple, Tesla, and WeWork.

As a Senior AI/ML Engineer at Handoff, you will:

Handoff is seeking a Senior AI/ML Engineer with a strong foundation in machine learning, computer vision, and the adaptability to tackle diverse challenges. As a generalist on our team, you will focus on solving real-world business problems by leveraging advanced machine learning techniques and proprietary datasets. This role requires a balance of technical expertise, a problem-solving mindset, and the ability to collaborate across teams to deliver impactful solutions.

• Develop Machine Learning Solutions: Apply traditional and modern ML techniques to build solutions that address key business challenges, such as enhancing estimate accuracy or streamlining AI agent features.
• Leverage Proprietary Data: Utilize our extensive blueprint dataset to explore and develop innovative computer vision solutions, driving unique value in our product offerings.
• Balance ML and Business Objectives: Identify and implement the most effective ML tools and approaches, ensuring alignment with both immediate project goals and broader business needs.
• Monitor and Optimize Performance: Establish evaluation frameworks to measure and improve the effectiveness of deployed models, iterating based on results to achieve reliable outcomes.
• Collaborate Across Teams: Work closely with engineering, product, and other stakeholders to integrate ML solutions seamlessly into production, ensuring scalability, reliability, and user-centric design.
• Stay at the Cutting Edge: Keep abreast of advancements in both computer vision and machine learning research, adopting promising methods to enhance our capabilities.

About You:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Experience: 5–10 years of experience in machine learning, with a proven ability to apply techniques across domains like NLP, computer vision, and predictive analytics.
• Technical Expertise:
  • Proficiency in foundational ML tools: Pandas, NumPy, OpenCV, and scikit-learn.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with working on computer vision tasks, such as image recognition, object detection, and processing large datasets like blueprints.
  • Hands-on experience with data engineering tools (e.g., SQL, Apache Airflow) for building pipelines.
  • Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying ML solutions.
• Generalist Problem Solver: Able to adapt quickly to a variety of technical challenges, selecting the right tools and techniques to solve business problems.
• Collaboration Skills: A team player who communicates effectively with cross-functional teams to ensure alignment and success in delivering impactful solutions.
• Adaptability: Comfortable with the dynamic nature of a startup environment, balancing rapid iteration with high-quality outcomes.
• Data-Centric Mindset: Strong analytical skills and the ability to work effectively with proprietary datasets to unlock innovative solutions.

If you are passionate about pushing the boundaries of AI to deliver value to users and enjoy working in a dynamic, fast-paced environment, we’d love to hear from you!