About the position
We are seeking a highly motivated and experienced Applied Machine Learning expert with a specialization in Computer Vision and multi-modal systems to join our team. In this role, you will be responsible for the design, implementation, and validation of innovative ML solutions that identify potential delivery defects at an early stage—whether it's identifying visual anomalies in packages or addressing errors in delivery logistics. By integrating real-time visual data with complementary data sources, your work will enable proactive intervention, ensuring prompt recovery and enhanced delivery quality. Leveraging our robust data and ML infrastructure, you'll build production-level algorithms that not only extract accurate signals from visual feeds but also incorporate multi-modal inputs to address complex, real-world challenges. The ideal candidate is passionate about solving end-user problems, excels in collaborative, multidisciplinary teams, and is a drive to transform the delivery experience by preventing defects before they impact the customer.
Responsibilities
- Develop production-level machine learning solutions that address key vision challenges for our dashers.
- Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning.
- Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation.
- Drive impact and enjoy ample room for both personal and professional growth.
- Innovate and experiment with cutting-edge technologies and methodologies in AI and ML.
Requirements
- 5+ years of industry experience developing machine learning models with business impact.
- Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems.
- Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark.
- M.S., or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields is a plus.
- Familiarity with causal inference and experimentation techniques.
Benefits
- 401(k) plan with an employer match
- Paid time off
- Paid parental leave
- Wellness benefits
- Paid holidays
- Medical, dental, and vision benefits
- Disability and basic life insurance
- Family-forming assistance
- Commuter benefit match
- Mental health program
