Software Engineer - Machine Learning Infrastructure

About Moloco: 

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms. 

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked #95 in the Inc. 5000 fastest-growing private companies for 2022. We ranked #91 among Deloitte’s 2021 Fast 500 and have been certified by 91% of the company via Great Places to Work. Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and Youtube. 

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, and Tokyo. 

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component to how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Be Contributing to Moloco: 

• Moloco is a Machine Learning Company. A key part of our value proposition are our Machine Learning (ML) models. These models are built and deployed on infrastructure built by the ML-Infrastructure team. As part of the ML-Infrastructure team, you will get an opportunity to build software that will enable the ML team to ship faster and better models efficiently.

The Opportunity: 

• Work with advanced machine learning frameworks like Tensorflow2 and JAX to leverage newer versions of hardware accelerators like GPUs and TPUs.
• Work on infrastructure that helps the ML team train about 1000 model instances everyday and serve 7M QPS within a latency of 25 milliseconds.
  
  

How Do I Know if the Role is Right For Me? 

• At least 4 years software engineering experience using one or more modern languages such as Python, Java, C#, Go, C++, etc.
• At least 4 years software development experience on backend/infrastructure systems. Experience working on machine learning infrastructure is preferred. 
• Bachelor Degree or above in Computer Science or equivalent technical degree.
• Fundamental understanding of distributed computing concepts. Experience working with large-scale distributed systems is strongly preferred.
• Fundamental understanding of hardware accelerators like GPUs and TPUs. Experience optimizing workloads on them is strongly preferred.
• Experience working on modern machine learning frameworks like Tensorflow2, PyTorch, and/or JAX is preferred.
• Experience with public cloud (GCP, AWS or Azure) is preferred.
• Strong problem solving and communication skills.

Our Compensation And Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Compensation Range:$133,476—$200,214 USD

Moloco Thrive: Benefits and Well-Being