Sr Machine Learning Engineer, Recommendations - USDS

Responsibilities

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TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ( USDS ) is a subsidiary of TikTok in the U.

S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.

S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.

The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions, and more.

About the team

We are a group of applied machine learning engineers and data scientists that focus on general feed recommendations and E-commerce recommendations.

We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions.

We are interested and excited in applying large scale machine learning to solve various real-world problems.

What you will do :

• Participate in building large-scale (10 million to 100 million) recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations, etc., in TikTok.
• Build long and short term user interest models, analyze and extract relevant information from large amounts of various data, and design algorithms to explore users' latent interests efficiently.
• Design, develop, evaluate, and iterate on predictive models for candidate generation and ranking (e.g., Click Through Rate and Conversion Rate prediction), including, but not limited to building real-time data pipelines, feature engineering, model optimization, and innovation.
• Design and build supporting / debugging tools as needed.

In order to enhance collaboration and cross-functional partnerships, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager / department.

We regularly review our hybrid work model, and the specific requirements may change at any time.

Qualifications

• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem-solving ability.
• Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, etc.
• Experience in Deep Learning Tools such as TensorFlow / PyTorch.
• Experience with at least one programming language like C++ / Python or equivalent.

Preferred Qualifications :

• Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
• Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, and related conferences / journals, or experience in data mining / machine learning competitions such as Kaggle / KDD-cup, etc.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.

To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our 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, please reach out to us at this link.

This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

Job Information :

Compensation Description (annually)

The base salary range for this position in the selected city is $184,000 - $337,000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, experience, and location.

Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses / incentives and restricted stock units.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.

We offer the following benefits to eligible employees :

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and offer a Health Savings Account (HSA) with a company match.

As well as Dental, Vision, Short / Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans. In addition to Flexible Spending Account (FSA) Options like Health Care, Limited Purpose, and Dependent Care.

Our time off and leave plans are : 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym, and cellphone service reimbursements.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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