Senior ML Engineer, Robotics / Computer Vision

at  Serve Robotics

Serve Robotics aims to develop dependable and proficient sidewalk autonomy perception and prediction software. Our Perception & Prediction team is looking for an enthusiastic individual capable of addressing challenging technical issues in sidewalk autonomy, including perception, prediction, and other innovative machine learning tasks.

QUALIFICATIONS

• Ms/PhD in Computer Science with minimum 5 years of industry experience with focus in ML/DL, Robotics, similar technical field of study, or equivalent practical experience
• Minimum 2 years of industry experience with training & shipping ML models into production and tracking its lifecycle maintenance process.
• Deep understanding of computer vision, machine learning and deep learning basic concepts.
• Strong C++ and Python programming skills for efficient and robust code.
• Experience with multiple sensors such as Lidar, Mono/Stereo cameras, IMU, etc.
• Strong communication skills.

MORE ABOUT US

Serve Robotics is the team that created the Postmates delivery robot and brought it to life in LA, completing tens of thousands of deliveries in LA’s busiest neighborhoods. Now we’re an independent company growing rapidly in order to connect people with what they need via robots designed to serve people.
We are proud to be an equal employment opportunity and affirmative action employer. Qualified applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
See Serve in action
Serve at TED 2020 main stag

• Build foundational model for vision language and action that can exhibit good reasoning and maneuvering capability. Understands transformer based ML architecture really well.
• Design, train and deploy learning-based perception models for on-robot perception systems. Perception models should be able to do multi-modal learning capturing different semantics such as segmentation, object detection, scene understanding and tracking.
• Work with ML infrastructure engineers to assess and monitor model performance, analyze and resolve performance bottlenecks.
• Collaborate with various teams to understand real-world problems and define tasks, incorporating insights into ML products.
• Produce high-quality code for software development, participate in code reviews to ensure the quality of code, and share knowledge with the team.
• Comfortable working with sql queries and ETL logic for data ingress.