Staff Software Engineer - Operational Machine Learning Platform

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 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). 

You will focus on building an advanced platform for operational machine learning to support Moloco’s business growth within and across verticals. As a lead member of our platform team, you will play a pivotal role in designing, developing, and maintaining the application programming (API), user interface (UI), and command-line interface (CLI) components of our operational machine learning platform. This platform will enable Moloco to operate and grow multiple existing ml-based products at scale, while also expanding into new product areas and verticals.

The Opportunity: 

• Application Programming Interface (API) Design and Development:
• Design, implement, and maintain robust and scalable APIs for operationalizing machine learning models.
• Collaborate with infra engineers, product engineers, data scientists, machine learning engineers, and other stakeholders to define API requirements.
• User Interface (UI) Development:
• Develop responsive and user-friendly web-based interfaces for interacting with data and machine learning processes and platform features.
• Implement data visualization and analytic tools to enhance user understanding and decision-making.
• Command-Line Interface (CLI) Development:
• Design and implement a command-line interface for seamless interaction with the platform, catering to advanced users and automation scenarios.
• Ensure consistency between the CLI and other interfaces for a cohesive user experience.
• Integration and Interoperability:
• Collaborate with cross-functional teams to integrate machine learning models and algorithms into the platform.
• Ensure interoperability between API, UI, and CLI components for a seamless end-to-end user experience.
• Testing and Optimization:
• Conduct thorough testing of API, UI, and CLI components to ensure functionality, security, and performance.
• Optimize code and interfaces fo