Remote Senior ML Engineer, Robotics / Computer Vision

Description:

• Serve Robotics is seeking a Senior ML Engineer specializing in Robotics and Computer Vision to join their Perception & Prediction team.
• The role involves developing dependable sidewalk autonomy perception and prediction software.
• Key responsibilities include building foundational models for vision language and action, with a strong understanding of transformer-based ML architecture.
• The engineer will design, train, and deploy learning-based perception models for on-robot perception systems, focusing on multi-modal learning for tasks such as segmentation, object detection, scene understanding, and tracking.
• Collaboration with ML infrastructure engineers is essential to assess and monitor model performance and resolve performance bottlenecks.
• The engineer will work with various teams to understand real-world problems and define tasks, integrating insights into ML products.
• High-quality code production and participation in code reviews are expected, along with sharing knowledge within the team.
• Comfort with SQL queries and ETL logic for data ingress is required.

Requirements:

• A Master's or PhD in Computer Science with a minimum of 5 years of industry experience focused on ML/DL, Robotics, or a similar technical field, or equivalent practical experience is required.
• At least 2 years of industry experience in training and deploying ML models into production and managing their lifecycle maintenance is necessary.
• A deep understanding of computer vision, machine learning, and deep learning basic concepts is essential.
• Strong programming skills in C++ and Python for efficient and robust code development are required.
• Experience with multiple sensors such as Lidar, Mono/Stereo cameras, and IMU is necessary.
• Strong communication skills are a must.

Benefits:

• Serve Robotics offers a dynamic work environment with opportunities to work on cutting-edge technology in robotics and machine learning.
• The company is committed to equal employment opportunities and affirmative action, ensuring a diverse and inclusive workplace.
• Employees will have the chance to contribute to innovative projects that connect people with services through autonomous robots.
• The position is remote, allowing for flexibility in work location, but is limited to residents of the US and Canada.