Senior Applied Scientist

About the Company:

The company 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 using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms.

That's where the company 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 enabling companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, the company is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. That same year, we also received Google’s Cloud DevOps Dreamers Award, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, the company is a 2024-certified Great Place to Work!

The company is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo.

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 carry out our mission, to empower businesses of all sizes to grow through operational machine learning.

The company 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 the Company:

• Leading research projects, possibly with a small team of applied scientists, as part of a group of cross-functional collaborators to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.
• Collaborate with your team to identify areas for infrastructure and machine learning component improvements by analyzing internal system changes, external changes, and data changes.
• Lead your project and contribute directly to deep, unbiased analysis, always driving to the actual root causes of issues.
• Participate in the design, implementation, and evaluation of new algorithms and features in collaboration with Software Engineers and Machine Learning Engineers.

The Opportunity:

The NEXT Quality (NQ) team focuses on the operation and optimization of our software systems, and ML modeling, working closely with infrastructure engineering teams and Machine learning engineers in the team. As a Senior Applied Scientist, you will lead research projects. You may lead small teams of applied scientists as part of a broader group of cross-functional collaborators working together to solve challenging problems in a complex multi-causal environment. Your work will contribute to driving performance improvements and cost reductions as you and your team debug and investigate production issues and stabilize our core system through deep end-to-end understanding.

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

• Ph.D. degree in Computer Science, Mathematics, or a related field, or industry experience in optimizing market prices or ML systems.
• 4+ years of work experience (industry or postgraduate) in research-related fields or an advanced degree such as a Master’s or PhD in a quantitative discipline with 2+ years of experience.
• 2+ years of experience leading research projects, preferably as part of groups that include data scientists, machine learning engineers, and software engineers.
• Proficient verbal and written English communication skills, with the ability to present information and analysis results to collaborators and occasionally to larger groups.
• Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science
• Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company
• Strong intellectual curiosity with a passion for exploring new ideas, identifying novel approaches, and continuously improving methodologies.
• Highly self-motivated and proactive, with the ability to drive research projects forward independently while maintaining alignment with team goals.

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.

Company 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:

• Company Blog
• Company Leadership
• Company Newsroom

Equal Opportunity:

The company 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.

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