AdTech, Content Discovery, Media, Digital Advertising, Artificial Intelligence, Machine Learning

Senior Machine Learning Engineer

Los Angeles, CAHybridFull TimeSenior$138,500–$195,000 /yrPosted 21 days agoVisa sponsorship available

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Required skills

performance advertising
recommendation algorithms
ranking algorithms
Python
Java
PyTorch
TensorFlow
recommendation systems
personalization
ML systems

Nice to have

autoresearch
AutoML
agentic tools

Role summary

Taboola is seeking a Senior Machine Learning Engineer for its R&D Team in Los Angeles. This role focuses on developing recommendation and ranking algorithms for Taboola's performance advertising platform, impacting millions of daily users and advertiser revenue. The ideal candidate will have a Bachelor's or advanced degree in a relevant field, 5+ years of experience with Python and Java, and proficiency in ML frameworks like PyTorch or TensorFlow. Experience with recommendation systems, end-to-end ML system ownership, and building ML testing frameworks is crucial. Responsibilities include designing and building predictive models, implementing ML algorithms, and ensuring safe and repeatable deployment of AI/ML systems. Experience with big data technologies like Hadoop and Spark is a plus.

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US

As a Sr Machine Learning Engineer on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola's performance advertising platform serving 600M+ daily active users.

The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

To thrive in this role, you'll need:

Bachelor or advanced degree in a relevant field, ideally Computer Science, Electrical Engineering, or Computational Economics

5+ years of hands-on experience in Python and Java

Proficiency with ML frameworks (e.g., PyTorch, Tensorflow)

Experience with recommendation systems, ranking algorithms, or personalization at scale

Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain — using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot)

Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly

Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Bonus points if you have:

Experience with Karpathy's autoresearch (MIT), AutoML or any other agentic tools for ML experiments

How you’ll make an impact:

Design and build predictive customer behavior models for targeting and personalization

Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production

Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows.

Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process.

Present findings to the product team and technical team leads in a clear and actionable way.

Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems

Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”

Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.

Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.

Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-RT1

#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.

Base Salary Pay Range$138,500—$195,000 USD

Sample Taboola interview questions

1
Find the maximum depth of an N-ary tree.
codingmedium
2
Implement an iterator over a binary search tree.
codingmedium
3
Find the total number of continuous subarrays whose sum equals K.
codingmedium

Get started to unlock a personalized interview prep pack for this role.

Ready to apply?

You'll be redirected to Taboola's application page.