Machine Learning Engineering Manager - Streaming Monetization

Key Skills

Apache Beam, Computer Vision (CV), Deep Learning, Google BigQuery, Google Bigtable, Google Dataflow, Java Programming, Machine learning techniques, Natural Language Processing (NLP), Python Programming

Job Description

We seek an exceptional machine learning engineering Manager to join Moloco’s Streaming Monetization (MSM) team working on our Streaming & OTT platform, the first ML-driven monetization platform that allows leading streaming media and OTT companies to leverage the same state-of-the-art technology stack that Moloco uses to drive our own ML-powered performance ads business. Moloco's programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies.

Moloco is an engineering company founded by software engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers, as seen here (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google: https://cloud.google.com/customers/moloco/

The Opportunity:

• Build, grow, and lead a machine learning team across the MSM technology stack.
• Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems.
• Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
• Develop highly scalable model servers on cloud platforms.
• Work with product, account, and infrastructure engineering teams to define future product roadmaps.

How Do I Know if the Role is Right For Me?

• MS or Ph.D. degree in Computer Science or related technical field.
• 7+ years of software development experience in Machine Learning, Deep Learning related areas.
• Exceptional level of communication, coordination, Machine Learning development, and development-team management skills.
• Experience mentoring and leading Senior, Mid, and Junior MLEs.
• Fluent in one or more programming languages, including Python, Java, and Golang.
• Knowledgeable with production-level machine learning applications, including Natural Language Processing, computer vision, recommendation systems, and ranking systems.
• Experience in building a highly scalable model or online service system.
• Fluent in speaking and writing English.

Preferred Qualifications

• Relevant experience in AdTech or Streaming Media/OTT.

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 which empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here.

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 gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.