Machine Learning Engineer - Ads Core and Commerce Ads

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $136,800–$359,720 annually, plus potential discretionary bonuses, incentives, and restricted stock units.

Company

hirify.global operates TikTok apps with a focus on U.S. data privacy, cybersecurity, trust and safety, and commerce experiences.

What you will do

• Build scalable machine learning systems and state-of-the-art models for shop advertising.
• Improve ad ranking quality through click-through-rate and conversion-rate prediction.
• Develop intelligent format selection and user journey optimization solutions.
• Explore and experiment with new features to improve model accuracy.
• Use machine learning to improve ad relevance, quality, and delivery volume.
• Collaborate with product managers, designers, global counterparts, and other disciplines on shopping experiences.

Requirements

• Proficiency in Python, SQL, and data manipulation.
• Experience with Hadoop, Spark, or comparable big data processing frameworks and distributed computing.
• Strong understanding of machine learning and deep learning, including feature engineering, model evaluation, and optimization.
• Strong analytical and problem-solving skills with complex and unstructured datasets.
• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Ability to communicate and collaborate effectively with cross-functional and non-technical stakeholders.

Nice to have

• Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field.
• Experience with causal machine learning, user growth, marketing, recommendation, or advertising algorithms.

Culture & Benefits

• Medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match.
• Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
• 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
• Inclusive workplace focused on creativity, curiosity, collaboration, and continuous improvement.