Moloco

Senior Machine Learning Engineer, Moloco NEXT

Moloco$200K — $260K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of machine learning experience in production-grade models
  • Experience with data analysis
  • Background in large-scale prediction systems like CTR/CVR
  • Proficient in Python coding
  • Ability to navigate ambiguity
  • Bonus: Experience with LLMs in experimental contexts

Responsibilities

  • Own end-to-end CTR/CVR prediction model development
  • Identify new data signals and features for model enhancement
  • Rapidly iterate using offline evaluation and online A/B testing
  • Create tools for automating debug and discovery workflows
  • Set technical direction and collaborate with pipeline teams
  • Focus on data quality and experiment debugging

Benefits

  • Medical, dental, and vision insurance
  • 401(k) plan with company match
  • Short-term and long-term disability coverage
  • Flexible Time Off (FTO)
  • Up to 12 paid holidays per year and one Thrive Day per quarter
Full Job Description
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.

About Moloco

Moloco is a technology company that provides machine learning and data analytics solutions for mobile advertising. The company's platform uses proprietary algorithms to analyze data from mobile devices and provide insights to advertisers, helping them to optimize their campaigns and improve their return on investment. Moloco was founded in 2013 and is headquartered in San Francisco, California.
Learn more about Moloco
Size
100 employees
Industry
Founded
2013

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