Expression of Interest: Machine Learning Engineer

Moloco, Menlo Park, California +5

The role

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

All jobs

Expression of Interest: Machine Learning Engineer

Moloco, Menlo Park, California +5

Posted pay

$170K–$386K

a year

Location: Menlo Park, California +5
Work type: Not given
Level: Not given
Experience: 5+ years
Skills in the job text: Python
AWS
Kubernetes
GCP
Go
C++
PyTorch
Spark
BigQuery
JAX
TensorFlow
Posted: Mar 6, 2026
Last check: 6 h ago
Job type: ML / AI engineering, Inference & ML systems

Apply on the Moloco site Sign in to save

The Moloco site opens in a new tab.

Moloco

Open tech jobs: 29
With posted pay: 69%
Median posted base: $165K–$245K

About Moloco: funding, hiring and pay

Moloco

About Moloco: funding, hiring and pay

Company facts

Money raised: At least $166MSum of SEC filings. A filing does not show all money that a company raises.
Newest raise: Aug 9, 2021First sale on an SEC filing

Funding records can have errors and can be missing. The company page has the links.

Check my fit

Compare your résumé with this job. See where you match, what is missing and which lines to change.

The role

About the Role

How You Work

Your ethos is ownership
You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
You demonstrate strong judgment under uncertainty.
You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
You lead through clarity and active listening.
You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions.
You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
You collaborate early, instead of solving in isolation.
You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope.
You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
You fall in love with the problem, not the solution
You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem.
When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
You prioritize customer impact and take action to make it real.
You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook.
You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

Expression of Interest: Machine Learning Engineer

The role

About the Role

Expression of Interest: Machine Learning Engineer

The role

About the Role

The Opportunity