What you'll do:
- 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.
- Run Machine Learning experiments to test new modeling ideas.
- Write clean, efficient, and maintainable code using industry best practices.
- Collaborate closely with engineering teams, to deliver high-quality ML products. Participate in code reviews and provide constructive feedback to team members.
- Identify performance bottlenecks and optimize system components for enhanced scalability.
- Keep up to date with developments in machine learning outside the company.
Who you are:
- Minimum 1 - 5 years of experience.
- You must be work-authorized in the United States without the need for 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 programming languages.
- Strong skills in mathematics and statistics.
- Working knowledge of 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.
Top Skills
What We Do
Quantcast is an advertising technology company and the creator of an innovative intelligent audience platform that empowers brands, agencies and publishers to know and grow their audiences online. Our solutions are leveling the playing field for our customers when it comes to effectively reaching audiences online and helping them power a thriving free and open internet for everyone.
Why Work With Us
Quantcast is committed to creating an inclusive and diverse environment where everyone can confidently be their authentic self. We value open minds and the exchange of diverse points of view. Each employee's unique experience, background, and perspective contributes to our culture and our ability to delight customers.
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