SF Bay Area Engineering Jobs and Architecture Jobs

Machine Learning Engineer (Multiple Positions), Doordash, Inc., Sunnyvale, CA. Monitor end-to-end Machine Learning (ML) lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurements. Extend current data/ML infrastructure to empower Ads data applications, including data analysis, ML modeling, and experimentation; and scaling internal systems and services to fuel business growth. Establish a data-driven framework to analyze how bid density and market competitiveness would affect advertising value and platform revenue. Design and test optimization algorithms for budget pacing and automated bidding to achieve advertising goals. Create new data solutions including embeddings and consumer profiles to target relevant audiences. Telecommuting Permitted. (MLE-S-103-SV)

40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary Range: $153,600 - $296,200/yr.

MINIMUM REQUIREMENTS:

Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Systems Design Engineering, or closely related field of study plus one (1) year of experience in applied science or software engineering industry including machine learning.

Qualifying experience must include the following skills (which may be gained concurrently);

• Programming languages such as Java, Python;

• Data structure;

• CI/CD;

• Docker;

• SQL or NoSQL Database;

• Distributed Systems;

• Building machine learning models and their supporting pipelines in the information retrieval or recommendation field;

• Algorithm areas like query understanding, personalization, or ranking.

Up to 10% travel (domestic) based on business need.

To apply, please send resumes to workwithus@doordash.com. Must reference job code MLE-S-103-SV to be considered.