Staff Machine Learning Engineer

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 and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms 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, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

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 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!

We’re hiring a Staff Machine Learning Engineer to join our core ML team. This is a high-impact, individual contributor role focused on building ML systems that operate at massive scale and directly influence business outcomes. You’ll work closely with infrastructure and product teams to develop production-grade recommender systems, predictive models, and ranking algorithms that serve hundreds of millions of users.

This role is ideal for deeply technical engineers with experience building large-scale ML systems at top-tier tech companies. You’re someone who values system design, measurable impact, and technical rigor over managing people or expanding headcount.

What You’ll Do

• Design and deploy ML systems for recommendation, prediction, ranking, and optimization (e.g., clicks, conversions, user satisfaction)
• Build and operate models and infrastructure that support hundreds of millions of requests per day
• Apply systematic, reproducible approaches to model training, evaluation, and inference at scale
• Collaborate with the Machine Learning Infrastructure (MLI) team to define system requirements and improve developer tooling and workflows
• Lead or contribute to architectural design, technical reviews, and standardization of ML practices across the org
• Mentor and support engineers across ML teams as a senior technical expert
• Help evolve the ML interview process to better identify high-caliber candidates without compromising our technical bar

Qualifications

• Extensive experience building and operating ML systems in high-scale environments
• Demonstrated impact from ML systems that directly improved product performance or business metrics
• Expertise in at least one of the following: recommender systems, ranking models, predictive modeling, or ML optimization
• Strong coding and system design skills, with solid CS fundamentals
• Proficiency with modern ML frameworks such as PyTorch, Keras, or JAX
• Experience optimizing models for hardware accelerators (e.g. GPUs, TPUs)
• Hands-on experience with distributed infrastructure – ideally as a contributor to frameworks like TensorFlow, Apache Beam, Dataflow, Flume, or Parquet
• Familiarity with best practices in ML production, including data versioning, feature engineering, training pipelines, and model monitoring

What Sets This Role Apart

• Ownership of production ML systems that materially shape the user experience and business performance
• Direct collaboration with MLI engineers to influence infrastructure strategy and tooling
• A culture that prioritizes technical depth, scalable systems, and measurable outcomes

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. 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 

Equal Opportunity: 

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we 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 and 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.