Machine Learning Engineer Graduate (E-Commerce Recommendation / Search Alliance)- 2025 Start (phd)

Machine Learning Engineer Graduate (E-Commerce Recommendation / Search Alliance)- 2025 Start (phd)

Join to apply for the Machine Learning Engineer Graduate (E-Commerce Recommendation / Search Alliance)- 2025 Start (phd) role at TikTok

Machine Learning Engineer Graduate (E-Commerce Recommendation / Search Alliance)- 2025 Start (phd)

Join to apply for the Machine Learning Engineer Graduate (E-Commerce Recommendation / Search Alliance)- 2025 Start (phd) role at TikTok

Responsibilities

Team Introduction :

The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

We are looking for talented individuals to join our team in 2024-2025. 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.

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 globally.

Responsibilities :

• Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems.
• Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions.
• Deploy and maintain scalable recommendation models for real-time query handling and product suggestions.
• Analyze complex datasets to derive insights that guide strategic decisions.
• Stay up-to-date with the latest machine learning developments, incorporating them into your work.

Qualifications

Minimum Qualifications :

Preferred Qualifications :

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $136800 - $259200 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 :

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

Referrals increase your chances of interviewing at TikTok by 2x

Get notified about new Machine Learning Engineer jobs in San Jose, CA .

AI / ML Engineer (Multiple roles and seniority levels)

San Jose, CA $137,500.00-$236,500.00 2 weeks ago

San Jose, CA $120,700.00-$228,600.00 2 weeks ago

New Grads 2025 - Software Engineer - Computer Vision / Deep Learning

San Jose, CA $120,000.00-$165,000.00 10 months ago

Palo Alto, CA $2,000.00-$2,500.00 2 weeks ago

Software Engineer, AI Platform - New Grad

Mountain View, CA $145,000.00-$170,000.00 2 weeks ago

San Jose, CA $120,700.00-$228,600.00 2 weeks ago

New Grads 2025 - Software Engineer, Algorithm

San Jose, CA $120,000.00-$165,000.00 11 months ago

San Jose, CA $169,500.00-$291,500.00 2 weeks ago

San Jose, CA $130,000.00-$182,000.00 12 months ago

San Jose, CA $120,000.00-$240,000.00 5 months ago

Sunnyvale, CA $158,200.00-$185,000.00 1 month ago

San Jose, CA $137,500.00-$236,500.00 4 months ago

San Jose, CA $130,000.00-$200,000.00 1 week ago

San Jose, CA $93,200.00-$170,600.00 2 weeks ago

New Grads 2025 - General Software Engineer

San Jose, CA $120,000.00-$165,000.00 6 months ago

Data Scientist, Analytics - Safety Response

San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago

Machine Learning Engineer- Data Scientist

San Jose, CA $120,000.00-$220,000.00 6 months ago

Mountain View, CA $152,000.00-$228,000.00 2 weeks ago

San Jose, CA $120,700.00-$228,600.00 2 weeks ago

Machine Learning Engineer, Early Stage Project

Mountain View, CA $136,000.00-$185,000.00 1 hour ago

Machine Learning Engineer, Monetization Engineering

Mountain View, CA $204,000.00-$259,000.00 1 week ago

San Jose, CA $165,000.00-$200,000.00 3 weeks ago

San Jose, CA $150,000.00-$220,000.00 1 year ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr