Remote Software Engineer, ML Infrastructure

Description:

• Serve Robotics is seeking a Software Engineer for their Machine Learning Infrastructure team to enhance their ML platform.
• The role involves developing and maintaining scalable data processing pipelines for data curation, annotation, search, and ML feature extraction.
• Responsibilities include building and improving active learning pipelines, ensuring scalability of training jobs and inference endpoints, and developing orchestration and scheduling systems.
• The engineer will collaborate with autonomy engineers to enhance the autonomy data platform, build integrations with annotation providers, and develop infrastructure components using Infrastructure as Code (IaC).
• The position also requires implementing CI/CD processes, developing monitoring and alerting frameworks, and working with the data team to ensure data quality and availability.

Requirements:

• A BS or MS in computer science or equivalent work experience with a focus on data engineering and machine learning is required.
• Candidates must have at least 2 years of industry experience in developing big data processing and/or machine learning pipelines.
• A minimum of 1 year of hands-on experience with cloud platforms such as AWS, GCP, or Azure is necessary.
• Proficiency in Python is required.
• A solid understanding of system design fundamentals and distributed computing concepts is essential.

Benefits:

• The position offers the opportunity to work in a dynamic and innovative environment focused on solving real-world problems with robotics and machine learning.
• Employees will be part of a diverse and agile team that values collaboration and respect.
• The role provides a chance to contribute to the growth of robotic deliveries and improve the efficiency of urban logistics.
• There are opportunities for professional development and growth within the company as it expands into new cities and scales its fleet.