Machine Learning Engineer

About the role

The Modeling team at Quantcast is responsible for building and maintaining ML products that price millions of bid requests per second in a real-time auction environment. Our focus is on delivering measurable outcomes that maximize advertiser outcomes, including predicting characteristics like age, gender, viewability, fraud, and advertiser relevance.

Responsibilities

• Design, code, test, and debug ML applications to build scalable real-time production systems.
• Run Machine Learning experiments to test new modeling ideas and write clean, efficient, and maintainable code.
• Collaborate with engineering teams to deliver high-quality ML products and participate in code reviews.
• Identify and optimize performance bottlenecks to enhance system scalability.
• Stay updated with advancements in machine learning and distributed systems.

Requirements

• New Grad to 1 year of experience.
• Work authorization in the United States without employer sponsorship.
• Fluency in Python, Java, or similar programming languages.
• Strong skills in mathematics and statistics.
• Working knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs, or recommendation systems.
• Interest in distributed systems, software design, concurrent algorithms, data structures, and software engineering.

Qualifications

• Experience with distributed systems and software design.
• Knowledge of ML algorithms and their applications.
• Ability to work in a fast-paced, collaborative environment.

Skills

• Python, Java, or similar programming languages.
• Mathematics and statistics.
• Machine Learning algorithms.
• Distributed systems and software design.
• Software engineering principles.

Benefits

• Performance bonus.
• Equity.
• Comprehensive benefits package.

Pay

$151.3K - $178K

Schedule

Hybrid role based in San Francisco, CA. Candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time.