Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need a Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5+ years of industry experience in building perception and prediction modules for robotics/AV stack, hands-on experience with ML frameworks like TensorFlow or PyTorch, exposure to state-of-the-art research in perception and prediction, strong background in sensor fusion (lidar and camera) and transformer models, proven track record in ML pipelines and production deployment, and proficiency in Python and C++.
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The team is agile, diverse, and driven, consisting of tech industry veterans in software, hardware, and design who solve real-world problems collaboratively and respectfully using robotics, machine learning, and computer vision.
A strong candidate has a high bar for writing production-quality code, experience with large-scale systems (inferred from context), and the ability to lead cross-functional collaborations while staying current with advances in prediction and end-to-end modeling.
Autonomous delivery robots for food and retail
Serve Robotics is changing the delivery industry with its self-driving robots that provide sustainable and efficient delivery solutions. Instead of using traditional vehicles, these lightweight, autonomous robots deliver small items like food and retail products, reducing carbon emissions and traffic congestion. The company operates on a delivery-as-a-service (DaaS) model, allowing businesses in the food and retail sectors to subscribe and pay based on their delivery needs. Serve Robotics aims to lead in the autonomous delivery market by offering eco-friendly solutions that enhance customer experience.