- Build systems to train and serve dozens of ML models updated hundreds of times per day
- Use state-of-the-art hardware accelerators (e.g. GPUs) to optimize ML training & inference
- Deploy and respond to system alerts to maintain Moloco's real-time large-scale ML-based advertising platform in healthy operation
- Leverage your knowledge of cloud infrastructure to optimize the cost, reliability and maintainability of our platform
- Collaborate with ML modeling engineers and other partners in the company to build the best mobile advertising platform in the world
What you'll need to succeed - 4+ years software development experience on backend/infrastructure systems, in C#, C++, Go, Java or Python
- 1+ years of cloud experience (deep expertise in using GCP, AWS and/or Azure)
- Strong Computer Science fundamentals and problem-solving skills
- Strong software development skills, from requirements to design to implementation
- Mastery of multiple skills involved in developing large scale systems such as integration testing, deployment, monitoring, production troubleshooting, database schema design, or developing data processing pipelines
- Strong written and verbal communication skills
- Bachelor's Degree in Computer Science/Engineering
Preferred Qualifications - Experience with machine learning frameworks (e.g. TensorFlow, PyTorch)
- Experience with machine learning model architectures
- Experience with ML hardware accelerators (e.g. GPUs, TPUs)
MOLOCO focuses on Mobile, Mobile Advertising, Advertising Platforms, and Mobile Application. Their company has offices in Seattle, Japan, Singapore, Palo Alto, and London. They have a mid-size team that's between employees. To date, MOLOCO has raised $29.5M of funding; their latest round was closed on February 2018.
You can view their website at or find them on Twitter.
Sr. Software Engineer - Redwood City, United States - MOLOCO
Description
About the Role
Moloco is a machine learning company operating at massive scale (we ingest 10 petabytes of training data per day) and our models are blazingly fast (returning predictions in 10 milliseconds or less); and a profitable unicorn (we're valued at $2B & been profitable for the last 13+ quarters).
We are seeking an exceptional Senior Software Engineer to join us in building state-of-the-art machine learning infrastructure for our mobile advertising platform. You will be part of the engineering team that builds systems to train deep-neural-network machine learning (ML) models, as well as the infrastructure to deploy them for real-time, high-scale ad targeting.
We're looking for a seasoned engineer to design, build and support the machine learning platforms that will power the future of Moloco's growth. Your work will span our flagship user- and advertiser-facing products. Relevant technologies we use at Moloco include Tensorflow, Airflow, BigQuery, Dataflow, Kubernetes, Google Cloud Platform, Terraform and the C++, Go and Python programming languages.
What you'll do