Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MS)

TikTok; San Jose (CA); On-site; USD 113,000 - 177,000; Full time

Job summary

Join TikTok as a Machine Learning Engineer Graduate in 2025, focusing on enhancing e-commerce recommendations. Responsibilities include advanced research on machine learning, building scalable systems, and collaborating within a dynamic team environment. This role offers impressive growth opportunities within a leading technology company dedicated to creativity and innovation.

Benefits

medical, dental, and vision insurance

401(k) savings plan with company match

paid parental leave

paid holidays and personal time

Qualifications

• Recent graduates in Computer Science or equivalent.
• Experience in applied machine learning and understanding various algorithms.
• Familiarity with Deep Learning tools like TensorFlow and PyTorch.

Responsibilities

• Conduct research on machine learning algorithms.
• Build and scale e-commerce recommendation systems.
• Analyze large datasets to develop user interest models.

Skills

machine learning

Deep Learning

programming

Education

Computer Science

Tools

TensorFlow

PyTorch

C++

Python

Job description

Join to apply for the Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MS) role at TikTok

Join to apply for the Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MS) role at TikTok

Responsibilities

Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users.

Responsibilities

Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users.

We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2025.

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.

Responsibilities

• Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms
• Participate in building large-scale (10 million to 100 million) e-commerce 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
• Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety
  
  

Qualifications

Minimum Qualifications:

• Current or recent graduates with a background in Computer Science, related technical field or equivalent industry experience
• 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
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
  
  

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $113500 - $177000 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 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; and
• 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

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Entertainment Providers

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