Senior Machine Learning Engineer

TikTok USDS JV is hiring a Senior Machine Learning Engineer to join the TikTok USDS Ads shop team in Los Angeles, CA. In this onsite role, you will help build scalable machine learning systems that support ad ranking and improve advertiser marketing strategies across both open-loop and closed-loop shop ads.

The work centers on developing and experimenting with models and features, using machine learning to raise ad relevance and quality, and partnering with product and design collaborators to deliver next-generation shopping experiences on TikTok.

What you’ll do

• Build highly scalable machine learning systems and state-of-the-art models to improve ad ranking quality and optimize advertisers’ marketing strategies, including click-through rate prediction, conversion rate prediction, intelligent format selection, and user journey optimization.
• Explore, develop, and experiment with new features to improve model accuracy.
• Apply modern machine learning to ads platform objectives to improve the relevance, quality, and quantity of ads delivered to end-users.
• Collaborate with Global counterparts, Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.

Required qualifications

• 5+ years experience as a Machine Learning Engineer and Data Scientist, with causal machine learning experience preferred.
• Proficiency with SQL and Python, including data manipulation.
• Experience with big data processing frameworks such as Hadoop and Spark, and distributed computing for efficient data mining on large-scale datasets.
• Solid understanding of machine and deep learning concepts, including feature engineering, model evaluation, and optimization.
• Strong analytical and problem-solving skills, including the ability to handle and derive insights from complex and unstructured datasets.
• Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and explain technical concepts to non-technical stakeholders.
• Highly self-motivated approach to driving business growth and advancing technical capabilities.
• Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms, or related fields is preferred.

Technologies

• SQL
• Python
• Hadoop
• Spark

Compensation

Annual base salary range for the selected city (Los Angeles, CA): $177,688 - $416,100. Compensation may vary outside this range based on qualifications, skills, competencies, experience, and location.

Benefits

• Medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
• Additional discretionary bonuses/incentives
• Restricted stock units

Reasonable accommodation

USDS is committed to providing reasonable accommodations in its recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, contact: https://tinyurl.com/USDS-RA.

Los Angeles County (Unincorporated) Fair Chance notice

• Qualified applicants with arrest or conviction records will be considered for employment in accordance with federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
• Criminal history may have a direct, adverse, and negative relationship to job duties, potentially resulting in withdrawal of a conditional offer. This includes interacting and occasionally having unsupervised contact with internal or external clients and colleagues, handling confidential information (including proprietary and trade secret information), and managing access to information technology systems, as well as exercising sound judgment.