Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start San Jose Regular Bachelor/Master Graduate - 2027 Start

TikTok

San Jose, Northern (CA, KY)

Híbrido

USD 128 000 - 317 000

Tempo integral

há 32 horas
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Vantagens oferecidas por esta oferta de emprego

Medical insurance
401(k) match
Parental leave
Wellbeing benefits

Resumo da oferta

TikTok is seeking a Machine Learning Engineer Graduate for the E-Commerce User Growth team in San Jose, with a 2027 start. The role focuses on optimizing growth and marketing algorithms, including personalized messaging and recommendations, to boost e-commerce DAU and GMV.

Successful candidates typically have CS/ENG degrees and hands-on experience with C++, Python, and DL tools. The position is a regular, full-time role with a competitive base salary and potential bonuses or RSUs.

Qualificações

  • Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related field.
  • Experience in C++ and Python; at least one Big Data tool (Hive/Spark/MapReduce); at least one Deep Learning tool (TensorFlow/PyTorch).
  • Strong foundation in algorithms and data structures with excellent coding skills.
  • Strong learning ability, curiosity, and good communication and teamwork skills.

Responsabilidades

  • Participate in optimizing TikTok e-Commerce growth and marketing algorithms, including user value modelling, personalized messaging, recommendations, and intelligent marketing.
  • Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.
  • Contribute to implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails and recommendation handling.
  • Optimize algorithms related to recall/sorting for new user recommendations to improve relevance and diversity.
  • Optimize intelligent marketing algorithms using uplift models and operations research to improve marketing efficiency and GMV growth.

Conhecimentos

C++
Python
Big Data tools
Deep Learning
Algorithms & DS

Formação académica

Bachelor's degree
Master's degree

Ferramentas

Hive
Spark
MapReduce
TensorFlow
PyTorch

Descrição da oferta de emprego

Machine Learning Engineer Graduate (E-Commerce User Growth) - 2027 Start
Location

San Jose

Employment Type

Regular

Job Code

A36661A

Team Introduction

Team Introduction: The TikTok e-Commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-Commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
  • Participate in optimizing TikTok e-Commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.
  • Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.
  • Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-Commerce DAU and penetration rates.
  • Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.
  • Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-Commerce GMV growth.
Qualifications
Minimum Qualifications
  • Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
  • Experience in C++ and Python; at least one of the Big Data tools (e.g. Hive SQL/Spark/MapReduce); at least one of the Deep Learning tools (e.g. TensorFlow/PyTorch).
  • Strong foundation in algorithms and data structures, with excellent coding skills.
  • Strong learning ability, curiosity, and good communication and teamwork skills.
Preferred Qualifications
  • Individuals who are completing or have recently completed a Master's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
  • Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions.
  • Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.
Job Information

The base salary range for this position in the selected city is $128000 - $316800 annually.

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

Benefits

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others.

Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

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

For Los Angeles County (unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
  • Exercising sound judgment.
About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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 Accommodation

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 https://tinyurl.com/RA-request

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