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Senior Machine Learning Engineer (US)

Handoff is the AI agent that runs a construction company, helping remodelers automate estimating and streamline operations, backed by real-time cost data.
Machine Learning
Senior Software Engineer
In-Person
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS · Construction

Description For Senior Machine Learning Engineer (US)

Handoff, an innovative AI-powered construction company platform, is seeking a Senior Machine Learning Engineer to join their team in Austin. With over 10,000 monthly active users and $6B in annualized project volume, Handoff is backed by major investors including Y Combinator, Sequoia, Initialized, and Greycroft, having raised over $25M.

The role combines machine learning expertise with practical business application, focusing on developing solutions that enhance estimate accuracy and streamline AI agent features. You'll work with an extensive blueprint dataset, applying computer vision techniques to create unique value propositions. The position requires strong technical skills in ML frameworks, computer vision, and data engineering, along with the ability to collaborate across teams.

As a Senior ML Engineer, you'll be responsible for implementing and evaluating ML models, ensuring they meet both technical excellence and business objectives. The role offers an opportunity to work with cutting-edge technology while solving real-world problems in the construction industry. The company provides a comprehensive benefits package including equity, unlimited PTO, full insurance coverage, and unique perks like global team offsites.

The ideal candidate brings 5+ years of ML experience, strong technical foundations in Python-based ML tools, and expertise in computer vision. You'll be joining a distributed team across Austin, São Paulo, and Buenos Aires, focused on creating intuitive, high-impact solutions for the construction industry. This position offers the perfect blend of technical challenge and practical impact, with the backing of a well-funded startup that's already proving its market value.

Last updated a day ago

Responsibilities For Senior Machine Learning Engineer (US)

  • Apply traditional and modern ML techniques to build solutions for business challenges
  • Utilize blueprint dataset to develop computer vision solutions
  • Identify and implement effective ML tools and approaches
  • Establish evaluation frameworks to measure and improve deployed models
  • Work with cross-functional teams to integrate ML solutions into production
  • Stay current with computer vision and machine learning research

Requirements For Senior Machine Learning Engineer (US)

Python
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
  • 5+ years of experience in machine learning
  • Proficiency in ML tools: Pandas, NumPy, OpenCV, and scikit-learn
  • Experience with deep learning frameworks like TensorFlow or PyTorch
  • Familiarity with computer vision tasks and tools like YOLOv8, Detectron
  • Experience with data engineering tools (SQL, Apache Airflow)
  • Knowledge of cloud platforms (AWS, GCP, or Azure)
  • Strong communication and team collaboration skills
  • Strong analytical skills

Benefits For Senior Machine Learning Engineer (US)

401k
Medical Insurance
Dental Insurance
Vision Insurance
Relocation Benefits
  • 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

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