Software Engineer - Machine Learning Infrastructure at Moloco

At Moloco, we are on a mission to empower businesses of all sizes to grow by unlocking the full potential of their first-party data. We operate at the intersection of machine learning, performance marketing, and product infrastructure, providing the same robust, high-speed ad-targeting capabilities that were previously reserved for the world's largest tech giants. As a rapidly growing company recognized by Inc. 5000 and Deloitte, we are looking for passionate individuals to join our global team and help us shape the future of the digital economy.

What is this role?

We are seeking a Senior Software Engineer to join our Machine Learning Infrastructure team on a full-time, on-site basis. This is a senior-level position where you will play a critical role in building the robust software systems that allow our machine learning models to thrive. You will be instrumental in enabling our ML team to ship high-quality models with greater efficiency and speed.

What will you do?

• Develop and maintain the infrastructure that supports the training of approximately 1,000 model instances every single day.
• Engineer systems capable of serving 7 million queries per second while maintaining strict latency requirements of under 25 milliseconds.
• Utilize advanced machine learning frameworks, such as JAX and Tensorflow2, to optimize performance on modern hardware accelerators like GPUs and TPUs.

What makes you a great fit?

To succeed in this role, you should be a collaborative problem solver with a strong technical foundation. We are looking for the following qualifications:

• At least 4 years of professional software engineering experience, specifically working on backend or infrastructure systems.
• Proficiency in one or more modern programming languages, including Python, Java, C#, Go, or C++.
• A Bachelor’s degree in Computer Science or a related technical field.
• A deep understanding of distributed computing concepts and experience with large-scale distributed systems.
• Experience working with public cloud platforms like GCP, AWS, or Azure.
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow2, or JAX is highly preferred.
• Strong communication skills and a commitment to working effectively within a team.

What's in it for you?

We offer a base compensation range of $133,476 to $200,214 USD, depending on your individual experience and skills. In addition to salary, we provide a comprehensive benefits package designed to support your well-being and professional growth:

• Medical, dental, and vision insurance.
• Life insurance and 401k plans.
• Generous paid time off.
• Flexible working hours to help you balance your personal and professional life.
• Dedicated support for your professional development.