Staff Machine Learning Engineer

STAFF MACHINE LEARNING ENGINEER, ADS

$220-240K + BENEFITS + BONUS WHEN APPLICABLE

SAN FRANCISCO, CA (REMOTE OK)

• Must have adtech experience
• Must have 6+yrs INDUSTRY experience, no interns - this is a senior+ level position
• Must be skilled in Java AND Machine Learning

Are you looking for a BIG large data challenge? Want to work alongside world class machine learning and systems engineers to tackle this problem? This problem is so unique -- if solved, can change an entire industry.

THE COMPANY:

Harnham is working with one of the most revolutionary social media platforms of the century and they are ready to take their data to the next level. This team is the most visible within the big company because all of its work will impact the bottom line. You'll be working in a newly formed team as our partner had just acquired a startup recently to join their revenue group.

THE ROLE:

You will be working within a newly formed group that is integrating to the revenue science team. You will be refinining ad targeting and ad selection models to optimize the way this platform monetizes. Your contribution will be highly recognized not just at the company but also publicly. Publicizing your work is highly encouraged on this team and the work you do will also impact the bottomline and stock price of the company.

In specific, you can expect to be involved in the following:

• Scaling models by applying machine learning and software engineering skills
• Working crossfunctionally with data scientists and engineers
• Unlocking new directions in real time recommendation
• Communicating with stakeholders and engaging with engineer teams in SF and London

YOUR SKILLS AND EXPERIENCE:

The ideal staff machine learning engineer will have the following skills and experience:

• BS, MS, or PhD in Computer Science
• Strong Adtech Machine learning experience in a production/industry setting
• Have an inclination towards software engineering AND applied machine learning
• Has applied deep learning
• Java, Python, C++, Scala, Scalding, Tensorflow, Keras
• Able to work with other teams (e.g. front end, platform teams, and PM/designers)

THE BENEFITS:

The successful staff machine learning engineer will receive a salary, dependent on experience up to $240K. On top of the salary add in some fantastic extra benefits the candidates can receive like equity, performance bonus, and unlimited vacation.

HOW TO APPLY:

Please register your interest by sending your CV to Hillary Tran via the Apply link on this page.