Hireio, Inc. Logo

Hireio, Inc.

03. Tech Lead Machine Learning Engineer, Brand Ads

Posted 7 Days Ago
Be an Early Applicant
San Jose, CA
350K-400K
Senior level
San Jose, CA
350K-400K
Senior level
Lead the development of innovative ad products and oversee the creation of large-scale ads systems, mentoring engineers and enhancing ad performance through machine learning models.
The summary above was generated by AI
Description

About the Role:
We are looking for an experienced Tech Lead Machine Learning Engineer to join an innovative global leader in digital advertising. The Brand Ads team is responsible for some of the most advanced and scalable ad systems used by top global brands. This role offers the opportunity to lead the development of new monetization products, working on everything from ads ranking to forecasting and bidding algorithms.

What You'll Do:

  • Lead the development of innovative ad products to drive user engagement and revenue.
  • Oversee the development of large-scale ads systems, including rankingforecasting, and bidding algorithms.
  • Mentor and guide a team of engineers, ensuring high-quality, scalable solutions.
  • Collaborate with global teams to build cutting-edge ad technologies.
  • Work in a fast-paced environment, continually iterating on machine learning models to enhance ad performance.

Why This Company?
This company is a leader in the digital entertainment space, connecting people through short-form video content. As part of the Brand Ads team, you'll be contributing to the development of high-impact ad products that influence how millions of users engage with brands. With a focus on innovation and creativity, the company encourages bold thinking and offers a flexible, dynamic work environment where engineers have the freedom to drive change.

Requirements
  • 7+ years of experience in Machine LearningSoftware Engineering, or Applied Science.
  • Expertise in PythonC++, or Go.
  • Strong experience with ads technology, including forecastingranking, and auction systems.
  • Proven leadership skills in guiding technical teams and developing scalable systems.
  • BS or MS in Computer ScienceEngineering, or related fields

Top Skills

C++
Go
Machine Learning
Python

Similar Jobs

2 Days Ago
Hybrid
3 Locations
159K-197K Annually
Senior level
159K-197K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Machine Learning Engineer at Capital One, you'll design, implement, and maintain machine learning applications, collaborating with cross-functional teams to optimize and deploy models and infrastructure.
Top Skills: AWSAzureDaskGoogle Cloud PlatformJavaPythonPyTorchScalaScikit-LearnSparkTensorFlow
7 Days Ago
San Jose, CA, USA
Senior level
Senior level
Artificial Intelligence • Cloud • Fintech • Healthtech • Biotech
The Tech Lead Machine Learning Engineer will develop innovative ads products, enhance algorithms using Machine Learning, and work on NLP and CV technology.
Top Skills: C/C++Data ScienceDeep LearningGoMachine LearningNlpPython
7 Days Ago
San Jose, CA, USA
50K-150K
Mid level
50K-150K
Mid level
Artificial Intelligence • Cloud • Fintech • Healthtech • Biotech
The Sr. Machine Learning Engineer for Brand Ads develops innovative monetization products, participates in building large-scale Ads systems, and works on machine learning algorithms, primarily in NLP and CV domains.
Top Skills: C/C++Data ScienceDeep LearningGoMachine LearningNlpPython

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account