Senior Applied Scientist - Moloco Ads

About the role

The impact you'll be contributing to Moloco:

The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system.

Here’s what you’ll be working on:

• Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.
• Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects.
• Complete tasks as part of larger projects to complete deep unbiased analyses.
• Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers.
• Analyze massive, high-dimensional datasets from ad auctions and user interactions to uncover insights, define success metrics, and guide modeling and product decisions.
• Collaborate closely with product, engineering, and other scientists to iterate on experiments, define roadmaps, and translate business requirements into scientifically sound solutions.
• Improve the reliability, latency, and efficiency of online prediction and decision systems by applying rigorous experimentation, monitoring, and continual model refinement.

Basic Qualifications

• Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
• At least 4 years of engineering or applied science experience
• Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
• 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

Compensation & Benefits

• U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks.
• U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter.
• All employees have Flexible Time Off (FTO).
• The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.

Salary Ranges

• Region A: $188,000 - $235,000 USD
• Region B: $169,200 - $211,500 USD
• Region C: $159,800 - $199,750 USD

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

• AI Use in Interviews