Moloco Logo

Moloco

Senior Machine Learning Engineer, Moloco NEXT

Posted 7 Days Ago
Be an Early Applicant
Hybrid
Menlo Park, CA, USA
200K-260K Annually
Senior level
Hybrid
Menlo Park, CA, USA
200K-260K Annually
Senior level
Own end-to-end CTR/CVR prediction models in a real-time bidding system (sub-100ms): modeling, feature pipelines, offline and online evaluation, A/B testing, experiment debugging, and post-launch ops. Hunt for new predictive signals, build tooling for experiment debugging and signal discovery, collaborate with data and pipeline teams, and set technical direction for NEXT's ML stack.
The summary above was generated by AI

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 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!

The Impact You’ll Be Contributing to Moloco: 

Moloco NEXT is Moloco's performance advertising platform within Moloco. As a Senior Machine Learning Engineer on NEXT, you'll own the CTR/CVR prediction models inside a real-time bidding system that decides on every ad request in under 100ms. 

The Opportunity: 

  • Own a production CTR/CVR prediction model end-to-end — modeling, eval, feature pipelines, online experimentation, and post-launch ops. By month six, you'll own a meaningful slice of NEXT's ML stack.
  • Hunt for the missing signals that move the needle: new data sources to log and ingest, derived and contextual features the current model doesn't yet see. On NEXT, most wins come from finding signals others missed — not from architectural cleverness.
  • Run the loop fast: design offline evaluation, ship to online A/B, read out in days, iterate. Diagnose the offline-online divergences when they show up — and they will.
  • Build the agentic tooling that automates parts of our experiment-debugging and signal-discovery workflow, both as a contributor and as a user.
  • Set technical direction. Decide what NEXT should bet on next quarter, not just execute on assignments. Bridge to the data and pipeline teams whose signals feed our models — most signal-hunting wins depend on getting those teams aligned.
  • Embrace the unglamorous parts: data-quality instrumentation, train/serve consistency in feature pipelines, slicing eval to find failure modes, and the careful experiment debugging that separates real wins from noise.

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

  • 5+ years of machine learning experience with a track record of shipping production-grade models in business-critical environments. We don't filter on degrees.
  • Experience with data analysis
  • Experience working on large-scale prediction or decisioning systems — CTR/CVR, ranking, recommendation, personalization, or related. 
  • Experience writing code in Python
  • Comfortable functioning under ambiguity
  • Bonus: experience using LLMs as agents or feature extractors — especially in evaluation, experiment debugging, or signal-discovery contexts.

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:
$200,000$260,000 USD
Region B:
$180,000$235,000 USD
Region C:
$170,000$225,000 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 
  • Moloco Leadership
  • Moloco 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 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.

HQ

Moloco Redwood, California, USA Office

601 Marshall St., Redwood, CA, United States, 94063

Moloco San Francisco, California, USA Office

88 Kearny St 21st Floor, San Francisco, CA, United States, 94108

Similar Jobs

23 Days Ago
In-Office
San Francisco, CA, USA
150K-220K Annually
Mid level
150K-220K Annually
Mid level
Information Technology • Productivity • Software
As a founding Machine Learning Engineer, you will improve core models, optimize LLM inference, develop data pipelines, and ship features directly to users.
Top Skills: Chrome ExtensionCloudflare WorkersElectron AppLlmsNode.jsReactTransformer ArchitecturesTypescriptVector Databases
25 Days Ago
In-Office
San Francisco, CA, USA
151K-189K Annually
Junior
151K-189K Annually
Junior
Edtech • Enterprise Web • HR Tech • Software
As a Machine Learning Engineer I, you will develop and deploy machine learning systems for core relevance signals, collaborating with engineers and product teams.
Top Skills: PythonPyTorchSQLTensorFlow
Yesterday
Remote or Hybrid
6 Locations
180K-300K Annually
Senior level
180K-300K Annually
Senior level
Software
As a Senior Machine Learning Engineer, you will own the ML stack, develop generation systems, improve quality, collaborate cross-functionally, and build data pipelines.
Top Skills: DeepspeedDiffusersHugging FaceLoraNext.JsPeftPythonPyTorchRayTransformersTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account