Machine Learning Engineer Graduate (E-Commerce Recommendation Video) - 2027 Start

TikTok; Seattle (WA); On-site; USD 122,000 - 243,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Parental leave

Disability coverage

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok is seeking a graduate-level ML/AI engineer to develop and deploy models powering personalized e-commerce recommendations. You will work with product, infra, and data teams to translate business goals into scalable technical solutions.

Responsibilities include evaluating models offline and online, optimizing for user experience and GMV, and ensuring production-grade robustness and deployment. This is a fast-moving, impact-driven team environment.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics or related discipline.
• Proficient coding in Python and hands-on experience with TensorFlow or PyTorch.

Responsibilities

• Develop and deploy ML models to power personalized e-commerce recommendations
• Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions
• Evaluate model performance in offline and online (A/B) testing to drive user experience and GMV
• Focused on scaling, robustness, and production-quality deployment

Skills

Python

Deep learning

Analytical thinking

Education

Bachelor's degree in CS/EE/Math/Stats

Tools

TensorFlow

PyTorch

Job description

Location:

Seattle

Employment Type:

Regular

Job Code:

A171339

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Responsibilities

Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. In today’s content-driven commerce landscape, traditional collaborative filtering and supervised learning methods are no longer sufficient. We're actively exploring how large language models (LLMs) and generative AI can fundamentally transform the recommendation process: from retrieval to ranking, and from static listings to dynamic, generative user-item interactions. 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.

• Develop and deploy ML models to power personalized e-commerce recommendations
• Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions
• Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV
• Focused on scaling, robustness, and production-quality deployment

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.

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline.
• Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Demonstrated ability to conduct rigorous research and analyze large-scale data.
• Strong problem-solving skills and a high sense of ownership.

Preferred Qualifications

• Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys).
• Experience with recommendation systems, retrieval models, or multi-modal learning.
• Familiarity with building and deploying real-time, scalable ML systems in production.
• Background in e-commerce or related applied AI research domains.

Job Information

The base salary range for this position in the selected city is $121600 - $243200 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:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
3. 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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