Senior Machine Learning Engineer, Recommendations - USDS

TikTok; Seattle (WA); Hybrid; USD 184,000 - 338,000; Full time

Job summary

Join TikTok as a Senior Machine Learning Engineer in the USDS division, focusing on innovative recommendation algorithms for millions of users. Leverage your expertise in applied machine learning and programming to enhance user engagement and satisfaction. Enjoy a hybrid work schedule and a competitive salary range, alongside diverse benefits.

Benefits

Health insurance

401(k)

Paid leave

Bonuses and stock units

Qualifications

• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem-solving skills.
• Experience in applied machine learning with various algorithms.

Responsibilities

• Build large-scale recommendation algorithms and systems.
• Analyze large datasets and design algorithms for user interest.
• Develop predictive models for candidate generation and ranking.

Skills

Programming

Problem-solving

Applied Machine Learning

Collaborative Filtering

Matrix Factorization

Word2Vec

Logistic Regression

Gradient Boosting

Deep Neural Networks

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

PyTorch

Job description

Senior Machine Learning Engineer, Recommendations - USDS

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Responsibilities

We are a group of applied machine learning engineers and data scientists focusing on general feed and E-commerce recommendations. Our work involves developing innovative algorithms to improve user engagement and satisfaction, translating creative ideas into impactful business solutions. We utilize large-scale machine learning to address real-world challenges.

What you will do:

1. Participate in building large-scale recommendation algorithms and systems (10 million to 100 million users), including commodity, live stream, and short video recommendations in TikTok.
2. Build user interest models, analyze large datasets, and design algorithms to explore users' latent interests efficiently.
3. Design, develop, evaluate, and iterate on predictive models for candidate generation and ranking, including real-time data pipelines, feature engineering, and model optimization.
4. Develop supporting/debugging tools as needed.

Our organization follows a hybrid work schedule requiring employees to work in the office 3 days a week, with potential changes based on management decisions.

Qualifications

Minimum Qualifications:

• Bachelor's degree or higher in Computer Science or related fields
• Strong programming and problem-solving skills
• Experience in applied machine learning with algorithms like Collaborative Filtering, Matrix Factorization, Word2Vec, Logistic Regression, Gradient Boosting, Deep Neural Networks, etc.
• Experience with Deep Learning frameworks such as TensorFlow or PyTorch
• Proficiency in at least one programming language like C++ or Python

Preferred Qualifications:

• Experience in recommendation systems, online advertising, NLP, large-scale data mining, or related fields
• Publications in major conferences or experience in data mining/machine learning competitions

About USDS

TikTok is a leading short-form video platform. USDS is a security-focused division ensuring data protection and content safety for U.S. users, supporting the platform's integrity and user trust.

Why Join Us

We inspire creativity and bring joy through innovative products. Our diverse teams foster a culture of curiosity, humility, and impact, embracing challenges and continuous learning.

Diversity & Inclusion

We value diverse perspectives and strive to create an inclusive environment reflecting our global community.

USDS Reasonable Accommodation

We provide accommodations for candidates with disabilities or other protected reasons. Contact us at https://tinyurl.com/USDS-RA.

Job Information

Base salary range: $184,300 - $337,250 annually, with potential bonuses, stock units, and benefits including health insurance, 401(k), paid leave, and more. Benefits may vary by location.

Additional Details

Positions available in various locations with different salary ranges. Refer to the original post for more opportunities and details.