Join Moloco as a Software Engineer - Machine Learning Infrastructure

About Moloco:

Moloco is a premier machine learning company dedicated to empowering organizations of all sizes. We help businesses unlock the full potential of their unique first-party data, revolutionizing performance advertising. While tech giants have harnessed data for ad-targeting with speed and scale, Moloco brings that same robust machine learning performance to the masses.

Standing at the crossroads of machine learning, performance marketing, and advanced product infrastructure, Moloco is a leading force driving the advertising technology industry forward. We ranked #95 in the Inc. 5000 fastest-growing private companies for 2022 and #91 on Deloitte’s 2021 Fast 500 list. Moloco is also recognized as a Great Place to Work, with a 91% certification from our employees. Check out our reviews on Glassdoor and catch a behind-the-scenes look on Instagram, Twitter, and YouTube.

Moloco’s headquarters are in Silicon Valley, with global offices spanning San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, and Tokyo.

Diversity and inclusion are core to our mission. We firmly believe that a diverse workforce and inclusive culture are essential to achieving our goals. Our inclusive, authentic, and belonging-focused culture is our superpower, enabling us to carry out our mission—empowering businesses of all sizes to thrive through operational machine learning.

Moloco is in an exciting phase of growth, and you can be a part of it. Apply now and join us today!

Impact You’ll Bring to Moloco

As a part of our Machine Learning Infrastructure team, you will play a vital role in building software that enables our ML team to deploy faster and more efficient models. You'll be working with our advanced ML models, which are integral to our value proposition.

The Opportunity

• Utilize advanced machine learning frameworks like TensorFlow2 and JAX with newer hardware accelerators like GPUs and TPUs.
• Develop infrastructure that enables the ML team to train approximately 1000 model instances daily and handle 7M QPS with a latency of 25 milliseconds.

Is This Role Right for You?

To excel in this role, you should have:

• 2+ years of software engineering experience using modern languages like Python, Java, C#, Go, C++, etc.
• 2+ years of software development experience in backend/infrastructure systems.
• A Bachelor’s Degree or higher in Computer Science or a related technical field.
• A fundamental understanding of distributed computing concepts, with experience in large-scale distributed systems being highly preferred.
• Knowledge of hardware accelerators like GPUs and TPUs, with experience in optimizing workloads on them highly preferred.
• Experience with modern ML frameworks like TensorFlow2, PyTorch, and/or JAX.
• Proficiency in public cloud platforms (GCP, AWS, or Azure) is preferred.
• Strong problem-solving and communication skills.

Compensation and Benefits (for United States Residents Only)

In accordance with various state laws, the provided range is a reasonable estimate of the base compensation for this role. Actual compensation may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities.

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

Moloco Thrive: Benefits and Well-Being

We prioritize our employees' well-being and strive to create conditions for them to perform their best work. Through an inclusive lens, we offer innovative benefits that empower our employees to care for themselves and their families.

Moloco Values

• Lead with Humility: Respect, value, and listen to everyone's voice. Humility makes us more open and accessible, fostering winning, losing, and learning together. Accountability and feedback are vital to our success.
• Uncapped Growth Mindset: Treat every situation as an opportunity to learn, grow, and improve. Embrace diverse perspectives, encourage curiosity, and drive experimentation to expand possibilities.