Senior Engineer, Data & ML Infrastructure - Remote

Overview

The Senior Engineer, Data & ML Infrastructure will work on large-scale solutions for mining challenging driving scenarios to enhance model performance across various autonomous driving tasks.

In Short

• Collaborate with ML infrastructure teams.
• Contribute to workflows for continuous learning.
• Research methods for extracting uncertainty indicators.
• Conduct deep learning experiments.
• Provide guidance to junior researchers.
• Work remotely from any U.S. state.
• Write technical reports.
• Analyze model performance.
• Develop high-performance distributed systems.
• Practice agile methodologies.

Requirements

• Bachelor’s degree in computer science or related field.
• Five years of post-bachelor’s industry experience.
• Experience with Python and production-quality software development.
• Solid understanding of software engineering principles.
• Familiarity with core AWS services.
• Experience with DBMS like PostgreSQL or MySQL.
• Skills in writing SQL queries for data analysis.
• Experience in data modeling and dashboarding.
• Ability to architect and ship large-scale systems.
• Project management experience.

Benefits

• Medical, dental, and vision insurance.
• 401k with company match.
• Health savings accounts.
• Life insurance.
• Pet insurance.
• Employee referral program.
• Diversity and inclusion initiatives.
• Progressive global culture.
• Opportunities for professional growth.
• Flexible work environment.