Research Scientist Graduate (Monetization GenAI - Multimodality) - 2025 Start (BS/MS)

Vancouver

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Responsibilities

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.

We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for infrastructure engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!

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
1. Lead research in advancing technology in multimodality generative model architectures;
2. Research, implement and evaluate novel machine learning algorithms on generative models;
3. Collaborate with applied machine learning teams and infrastructure teams to ship new generative models into ad production.

Qualifications

Minimum Qualifications:
- BS/MS in computer science, machine learning, or similar fields
- Hands-on experience of developing multimodality foundation models and work or internship experience in an AI research organization is a plus
- Strong publications record in top conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, 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 https://shorturl.at/cdpT2.

Job Information

【BC - For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is CAD$ 7200- CAD$ 7200 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.​

The compensation for this position is based on a monthly compensation structure. The range specified is the expected annual compensation for a person in this position.​

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 and dependent's extended health care insurance. As well as Short/Long term Disability, Basic Life, Survivor Benefit and AD&D insurance plans.​

Our time off and leave plans are: 11 paid holidays per year plus 19 days of vacation (prorated upon hire and increased by tenure) and 7 paid sick days per year as well as 13 weeks of supplemental paid maternity leave top-up and 10 weeks of Supplemental Paid Parental Leave top-up.​

We also provide generous benefits such as RRSP company match, EAP, gym and cell phone 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture CAD Computer Science Generative AI Generative modeling ICLR ICML Machine Learning NeurIPS Research

Perks/benefits: Career development Conferences Equity / stock options Flex vacation Health care Insurance Parental leave Startup environment

Region: North America
Country: Canada

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