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Staff Machine Learning Engineer (US)

Staff Machine Learning Engineer (US)

HandoffAustin, Texas, United States
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Why join us?

Handoff is the AI agent that runs a construction company. We help remodelers automate estimating, streamline operations, and win more work - backed by real-time cost data, intuitive design, and workflows that “speak contractor.” With over 10,000 monthly active users and $6B in annualized project volume already flowing through our platform, we’re becoming the trusted partner for the people who build our homes.

We are backed by $25M+ raised from Y Combinator, Sequoia, Initialized, and Greycroft. Our team is distributed across hubs in Austin, São Paulo, and Buenos Aires, and we are deeply focused on building intuitive, high-impact solutions that make a real difference for our users.

Staff AI / ML Engineer at Handoff

As a Staff AI / ML Engineer you have a strong foundation in machine learning 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.

What you'll do

  • Apply traditional and modern ML techniques to build solutions that address key business challenges, such as enhancing estimate accuracy or streamlining AI agent features.
  • Identify and implement the most effective ML tools and approaches, ensuring alignment with both immediate project goals and broader business needs.
  • Establish evaluation frameworks to measure and improve the effectiveness of deployed models, iterating based on results to achieve reliable outcomes.
  • Work closely with engineering, product, and other stakeholders to integrate ML solutions seamlessly into production, ensuring scalability, reliability, and user-centric design.
  • Keep abreast of advancements in both computer vision and machine learning research, adopting promising methods to enhance our capabilities.

About You

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • 7+ years of experience in machine learning, with a proven ability to apply techniques across domains like NLP, computer vision, and predictive analytics.
  • Proficiency in foundational ML tools : Pandas , NumPy , OpenCV , and scikit-learn .
  • Experience with deep learning frameworks such as TensorFlow or PyTorch .
  • 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.
  • A team player who communicates effectively with cross-functional teams to ensure alignment and success in delivering impactful solutions.
  • Strong analytical skills and the ability to work effectively with proprietary datasets to unlock innovative solutions.

    • What we offer

  • Competitive Salary + Equity
  • Unlimited Paid Time Off (PTO)
  • 401(k)
  • Medical, Dental & Vision Insurance
  • Life & Disability Insurance
  • Flexible Spending Account (FSA)
  • Dependent Care FSA (DC FSA)
  • Relocation Allowance
  • Top-Notch Equipment - Choose your laptop!
  • Team Offsites Around the World – In 2024, we gathered in Poland, Mexico, and Florida - where to next?

    • If you’re excited about solving complex problems with AI and ML and want to be part of a team that values innovation, product impact, and technical excellence, we’d love to hear from you!

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    Staff Machine Learning Engineer • Austin, Texas, United States