Machine Learning Engineer Graduate (Large Language Models & Generative AI-US) - 2025 Start (BS/MS)
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Join to apply for the Machine Learning Engineer Graduate (Large Language Models & Generative AI-US) - 2025 Start (BS/MS) role at TikTok
Join to apply for the Machine Learning Engineer Graduate (Large Language Models & Generative AI-US) - 2025 Start (BS/MS) role at TikTok
Responsibilities
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
Our team is pioneering the future of large language model-based applications with a focus on developing long-term memory capabilities and delivering personalized chat, search, and recommendation experiences. We're leveraging our deep expertise in artificial intelligence to create advanced AI algorithms that can understand, learn, and predict, dramatically enhancing user interactions. Our mission is to revolutionize how we engage with machines, making them more intuitive and human-like than ever. With a relentless commitment to excellence and a profound understanding of AI, we are setting new standards and pushing the boundaries of what language model-based applications can achieve.
Responsibilities
Our team is pioneering the future of large language model-based applications with a focus on developing long-term memory capabilities and delivering personalized chat, search, and recommendation experiences. We're leveraging our deep expertise in artificial intelligence to create advanced AI algorithms that can understand, learn, and predict, dramatically enhancing user interactions. Our mission is to revolutionize how we engage with machines, making them more intuitive and human-like than ever. With a relentless commitment to excellence and a profound understanding of AI, we are setting new standards and pushing the boundaries of what language model-based applications can achieve.
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.
Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
Responsible for the design and implementation of a global-scale machine learning system for chat bot, feeds, ads and search ranking models
Responsible for leveraging large language models in applications, and improving them via techniques like SFT and RLHF
Responsible for improving the workflow of model training and serving, data pipelines and resource management
Responsible for connecting cutting edge academic research with user-facing next generation products
Qualifications
Minimum Qualifications
Currently pursuing a BS/MS in Software Development, Computer Science, Computer Engineering, or a related technical discipline
Proficient in C/C++/Python/Golang, and have exceptional programming skills (expert with algorithms and data structures).
Familiarity with deep learning frameworks like TensorFlow/PyTorch
Exceptional problem-solving skills with the ability to think critically and creatively
Knowledge, passion, curiosity, and exposure to areas in Machine Learning / Artificial intelligence
Experience, research, internship, or coursework related in Large Language Models or related fields
Ability to work independently and complete projects from beginning to end and in a timely manner
Strong teamwork and communication skills. Any hands-on experience or group projects in relevant technical scenarios will be a plus!
Preferred Qualifications
Experience in big data frameworks (e.g., K8s/Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems, experience in building solutions with AWS, GCP, Azures, OCI, AliCloud or other cloud services
Strong background in one of the following fields: High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $116000 - $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 levelInternship
Employment type Employment typeFull-time
Job function Job functionEngineering and Information Technology
IndustriesEntertainment Providers
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- Location:
- San Jose, CA
- Salary:
- $250
- Category:
- Engineering