About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
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
As a Machine Learning Engineer focused on ML Infra, you will drive the development and optimization of scalable machine learning infrastructure, directly enhancing the performance and reliability of our Ads product line. Your work will empower teams to deliver high-quality, data-driven advertising solutions at scale.
The Opportunity
- Design, build, and maintain robust machine learning infrastructure to support large-scale ad serving and model training at a global scale.
- Develop and optimize data pipelines and workflows for efficient model deployment and monitoring.
- Collaborate with cross-functional teams—including data scientists, product managers, and software engineers—to deliver end-to-end ML solutions.
- Implement best practices for model versioning, reproducibility, and continuous integration/continuous deployment (CI/CD) in ML systems.
- Build and operate high performance ML systems using modern frameworks and languages such as JAX and Rust, optimized for execution on GPUs and TPUs.
- Monitor, troubleshoot, and continuously improve the reliability, scalability, and performance of ML systems delivering millions of predictions per second worldwide
- Evaluate and integrate new tools, frameworks, and technologies to enhance the ML platform’s capabilities.
- Integrate AI-driven agents into the core engineering and modeling lifecycle to automate and amplify the team's impact.
- Contribute to the design and execution of experiments to improve ad quality and system performance.
- Document system architecture, processes, and best practices to ensure knowledge sharing and maintainability.
How Do I Know if the Role is Right For Me?
- 4+ years of experience in machine learning engineering, ML infrastructure, or a related field.
- Demonstrate proficiency in programming languages such as Python, Java, C++, or Rust.
- Have hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Jax).
- Work with cloud platforms (e.g., AWS, GCP, Azure) and containerization/orchestration tools (e.g., Docker, Kubernetes).
- Build and maintain scalable data pipelines using tools like Apache Beam, Apache Spark, Airflow, or similar.
- Thrive in ambiguous environments, proactively identifying and solving complex infrastructure challenges.
- Collaborate effectively with cross-functional teams to deliver impactful solutions.
- Apply strong problem-solving skills and a growth mindset to continuously improve systems and processes.
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.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
- Moloco Company Blog
- Moloco Leadership
- Moloco Newsroom
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
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 of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Skills Required
- 4+ years of experience in machine learning engineering, ML infrastructure, or a related field
- Proficiency in programming languages such as Python, Java, C++, or Rust
- Hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Jax)
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes)
- Ability to build and maintain scalable data pipelines using tools like Apache Beam, Apache Spark, Airflow
What We Do
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 in the top 10% in the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024 certified Great Place 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.
Why Work With Us
Moloco plays a unique and visible role in shaping the digital economy. We are a powerful combination of cutting-edge technologies and executive innovators who utilize machine learning to scale business models. At Moloco you’ll work alongside people who are world-class thought leaders and focused on using their superpowers to create real value.
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