Senior Machine Learning Engineer (Br)

Senior AI / ML Engineer at Handoff

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.

As a Senior AI / ML Engineer you have 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.

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.

Utilize our extensive blueprint dataset to explore and develop innovative computer vision solutions, driving unique value in our product offerings.

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.

5+ 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

Familiarity with working on computer vision tasks, such as image recognition, object detection, and processing large datasets like blueprints (e.g.

YOLOv8

Detectron

, and others).

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.

Proficiency in English, both written and verbal

What we offer

Competitive salary in USD

Attractive stock options

Unlimited PTO

We'll set you up with all the equipment you need - and you can choose the laptop!

Get ready for regular team offsites around the world.

Our

• offsites were in Poland, Mexico and Florida.

If you are passionate about developing cutting-edge machine learning solutions and want to be part of a team that values innovation, scalability, and real-world impact, we'd love to hear from you!

Please note that we will only consider applications submitted in English.

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