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Quantcast · 9 hours ago

Sr Machine Learning Engineer

San Francisco, CA

Full-time

Hybrid

Senior Level

$187K/yr - $217K/yr

5+ years exp

Quantcast is a global Demand Side Platform (DSP) focused on redefining digital advertising through AI. As a Sr Machine Learning Engineer, you will lead the development and maintenance of large-scale machine learning systems, leveraging extensive datasets and computational power to enhance advertising outcomes.

Ad TargetingAdvertisingInternetSoftware

No H1B

Hiring Manager

Alexander C-R

Responsibilities

Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently

Prototype solutions, conduct data analyses to tackle large-scale inference problems, and run ML experiments to test new modeling ideas

Write clean, efficient, and maintainable code using industry best practices

Work multi-functionally with other teams to develop standard methodologies in model building and validation, and collaborate closely with engineering teams to deliver high-quality ML products

Identify performance bottlenecks and optimize system components for enhanced scalability

Mentor machine learning engineers to grow their careers and improve their skills, including participating in code reviews and providing constructive feedback to team members

Generate and review proposals for further research and development directions

Keep up to date with developments in machine learning outside the company

Qualification

Machine LearningPythonML algorithmsJavaDistributed systemsData visualizationAnalytical skillsCoaching skillsSocial skills

Required

M.S in Computer Science or related technical field with 5 - 8 years of industry experience or Ph.D. with 5+ years, or equivalent practical experience

You must be work-authorized in the United States without the need for current or future employer sponsorship

This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time

Fluency in Python, Java, or similar object-oriented programming language

Proficiency with ML algorithms such as classification, control systems, optimization, clustering, LLMs, or recommendation systems

An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering

Solid foundation in math, statistics, data visualization, and storytelling

Demonstrated analytical, planning, and social skills

Experience coaching and developing junior machine learning engineers