Senior Machine Learning Engineer

$200,000 - $200,000/Yr

Quinstreet - Foster City, CA

Full-time - Senior

Foster City, CA

Administrative and Support Services

About the position

QuinStreet is seeking a highly skilled Senior Machine Learning Engineer to join our innovative team. As a pioneer in powering decentralized online marketplaces, we leverage advanced algorithms and AI-driven technologies to connect consumers with brands effectively. In this role, you will be a core member of the team responsible for creating algorithms that enhance our marketing platform's capabilities, focusing on pricing, targeting, demand fulfillment, and fraud detection. Your expertise in machine learning and statistical learning techniques will be crucial in developing models that drive performance and improve our services. In this position, you will utilize your knowledge of classification and regression to produce models that are directly applicable to our pricing and targeting strategies. You will also apply mathematical optimization techniques to address complex network problems, ensuring that our solutions are both scalable and reliable. The role requires a hands-on approach, where you will experiment and build models that not only enhance our marketing platform but also contribute to increased yield and performance. Collaboration is key in this role, as you will work closely with our Engineering and Business teams to implement effective solutions across various business units. The fast-paced, analytical culture at QuinStreet encourages running numerous experiments, allowing you to learn quickly and adapt your work to meet evolving business needs. Ultimately, you will find satisfaction in knowing that your contributions help connect millions of visitors to the products and services they are searching for, making a tangible impact on our affiliates and internal properties.

Responsibilities

• Use your expertise in machine learning and statistical learning techniques such as classification and regression to produce models applicable to pricing and targeting.
• Apply mathematical optimization techniques to solve network problems.
• Experiment and build models that improve the capabilities of our marketing platform and allow for increases in yield.
• Work with our Engineering and Business teams to implement scalable, reliable and useful solutions for our various business units.
• Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt your work.
• Get the satisfaction of knowing that you helped connect millions of visitors to our affiliates and internal properties to the products and services they are searching for.

Requirements

• 2+ years post Ph.D. experience in software development
• MS in Computer Science or related area, or relevant work experience
• Deep experience in applied machine learning, statistical learning, mathematical optimization and scalable computing
• Experience with both supervised and unsupervised learning on large datasets
• Succeed as an individual but to collaborate and strive for the success of your team
• Strong sense of ownership in everything you build
• Strong experience building production level code (Python is a plus)

Benefits

• Health care benefits
• Retirement benefits
• Paid sick leave
• Parental leave
• Paid time off
• Vacation benefits
• Performance bonus or commission
• Equity in the form of restricted stock units