Senior Applied Scientist - Moloco Ads

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

[https://www.moloco.com/solutions/moloco-ads] is an AI-powered platform that

delivers real business outcomes for mobile app marketers through

performance-based user acquisition. Moloco Commerce Media

[https://www.moloco.com/solutions/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!

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 task 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. Additionally, 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.

The location for this role is listed above. For base pay range purposes,

location-based compensation is grouped into the following regions. Your region

is determined by your assigned work location.

* Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro

Area

* Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego,

Austin, Boston, Washington DC Metro Area, Miami

* Region C: All other U.S. locations

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:

* Moloco Company Blog [https://www.moloco.com/blogs]

* Moloco Leadership [https://www.moloco.com/leadership]

* Moloco Newsroom [https://www.moloco.com/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 [https://www.moloco.cloud/hubfs/careers/AI%20Use%20in%20Interviews.pdf]

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

[https://www.moloco.cloud/hubfs/careers/Candidate%20Privacy%20Notice.pdf].