Description:

Serve Robotics is seeking a Software Engineer for their Machine Learning Infrastructure team to enhance their ML platform, which is crucial for the autonomy of their sidewalk delivery robots.
The role involves developing and maintaining ML infrastructure, including sensor data ETL pipelines, continuous training pipelines, and an annotation platform.
The engineer will also be responsible for creating an MLOps system to manage the lifecycle of ML cloud training and inference pipelines, while continuously improving ML model development and deployment processes.
Collaboration with ML engineers to design metrics for ML tasks and mining sensor data is essential.
The engineer will design and implement algorithms for ranking and scoring annotation candidates and work with annotation providers to establish quality control and feedback loops.
The position requires making sensor data and its derivatives accessible for Robotics Engineers across the company.

Requirements:

A BS or MS in computer science with a focus on data engineering and large-scale ML systems is required.
Candidates must have at least 2 years of industry experience in building, running, and improving large-volume ML training and validation pipelines.
Experience in building native cloud applications is necessary.
Proficiency in large-scale data processing pipelines in production is required.
Candidates should be proficient in at least one programming language: C++, Python, or Go.
Hands-on experience and a solid understanding of Computer Vision and Deep Learning are essential.
A strong inclination to automate workflows for oneself and others is expected.

Serve Robotics offers a collaborative and respectful work environment with a diverse team of tech industry veterans.
Employees will have the opportunity to work on innovative projects that leverage robotics, machine learning, and computer vision to solve real-world problems.
The company promotes a culture of continuous improvement and professional growth within the field of machine learning and robotics.