Algorithm Engineer (Supply) at Taboola

Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Java, Scala, SQL, Data Science, PyTorch, TensorFlow, Data Pipelines, Optimization Algorithms, Content Recommendations, Behavioral Prediction, Collaboration, Research, Data-Driven Solutions, Stakeholder Presentation

Industry

Software Development

Description

Realize your potential by joining the leading performance-driven advertising company! As a Algorithm Engineer on the R&D Team in our Taipei office, you’ll play a vital role in developing cutting-edge machine learning models that power personalized content recommendations for over 1 billion users worldwide. You’ll research, build, and deploy AI-driven solutions that enhance user engagement and drive business growth. To thrive in this role, you'll need: Master’s degree in CS/CE, EE, Physics, Applied Mathematics, or a related field (Ph.D. is a plus). 1+ year of full-time work experience (or 3+ months internship for fresh graduates) in data science. 3+ years of programming experience in Python, Java, or Scala. Hands-on experience with machine learning frameworks like PyTorch or TensorFlow. Strong SQL and database skills for data extraction and analysis. Bonus points if you have: Experience in content understanding or behavioral prediction models. Knowledge of optimization algorithms for business applications. How you’ll make an impact: As a Algorithm Engineer, you’ll bring value by: Researching and proposing data-driven solutions for personalization and targeting. Building and deploying machine learning models to enhance content recommendations. Developing optimization algorithms to meet key business objectives. Creating and maintaining data pipelines for ML model training and evaluation. Collaborating with product and engineering teams to productionize AI solutions. Presenting insights and model performance to stakeholders in a clear, actionable way. Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart, talented peers. 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, a fully stocked kitchen, and location-specific perks. Flexibility: Hybrid work model with 3 days in-office and the option to come in more often if desired. Work with the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda. Ready to realize your potential? Taboola is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. Employment is based on 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-Hybrid #LI-MT1

Responsibilities

As an Algorithm Engineer, you will research and propose data-driven solutions for personalization and targeting, while building and deploying machine learning models to enhance content recommendations. You will also develop optimization algorithms to meet key business objectives and collaborate with product and engineering teams to productionize AI solutions.