Sr. Staff Software Engineer - Ads ML Infrastructure
Pinterest is one of the fastest growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. You’ll join a talented team with high impact, which designs high-performance and efficient ML systems, in order to power the most critical and revenue-generating models at Pinterest.
What you’ll do
Being the technical leader of the Ads ML foundation evolution movement to 2x Pinterest revenue and 5x ad performance in next 3 years.
Opportunities to use cutting edge ML technologies including GPU and LLMs to empower 100x bigger models in next 3 years.
Tons of ambiguous problems and you will be tasked with building 0 to 1 solutions for all of them.
What we’re looking for:
BS (or higher) degree in Computer Science, or a related field.
10+ years of relevant industry experience in leading the design of large scale & production ML infra systems.
Deep knowledge with at least one state-of-art programming language (Java, C++, Python).
Deep knowledge with building distributed systems or recommendation infrastructure
Hands-on experience with at least one modeling framework (Pytorch or Tensorflow).
Hands-on experience with model / hardware accelerator libraries (Cuda, Quantization)
Strong communicator and collaborative team player.
About the job
Apply for this position
Sr. Staff Software Engineer - Ads ML Infrastructure
Pinterest is one of the fastest growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. You’ll join a talented team with high impact, which designs high-performance and efficient ML systems, in order to power the most critical and revenue-generating models at Pinterest.
What you’ll do
Being the technical leader of the Ads ML foundation evolution movement to 2x Pinterest revenue and 5x ad performance in next 3 years.
Opportunities to use cutting edge ML technologies including GPU and LLMs to empower 100x bigger models in next 3 years.
Tons of ambiguous problems and you will be tasked with building 0 to 1 solutions for all of them.
What we’re looking for:
BS (or higher) degree in Computer Science, or a related field.
10+ years of relevant industry experience in leading the design of large scale & production ML infra systems.
Deep knowledge with at least one state-of-art programming language (Java, C++, Python).
Deep knowledge with building distributed systems or recommendation infrastructure
Hands-on experience with at least one modeling framework (Pytorch or Tensorflow).
Hands-on experience with model / hardware accelerator libraries (Cuda, Quantization)
Strong communicator and collaborative team player.