
Graduate Machine Learning Engineer - Large-Scale NLP & Search
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.
As ByteDancers, 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. 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 & InclusionByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.
Job highlights- Yoga and fitness
- Stock options
- Positive team atmosphere
- Career growth opportunity
- Paid leave
- Flat organization
- 100+ mil users
- Industry experts
- Competitive compensation
- Flexible hours
Team Introduction
The Search Team is building a large-scale, full-stack search engine to serve billions of users worldwide. Our mission is to deliver not just relevant results, but an ideal search experience that is fast, personalized, and insightful.
We work across both general and vertical search scenarios, including PhotoText, User Search, Live and more — applying Large Language Models (LLMs), NLP, and Multimodal Understanding to continuously push the boundaries of search quality and system design.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
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.
Responsibilities- Improve core and vertical search quality (e.g., PhotoText, User, Live etc.) across the full stack: query understanding, content understanding, ranking.
- Apply LLMs, NLP, and multimodal models to enhance semantic relevance and intent understanding.
- Collaborate with product and infra teams to deliver impactful features on a global scale.
- Individuals who are completing or have recently completed a Bachelor’s/ Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Strong coding skills in C++/Python/Java.
- Solid understanding of algorithms and data structures.
- Experience in one or more of: NLP, Search, Ranking, Ads, Recommender Systems, or Machine Learning.
- Familiarity with LLMs or multimodal learning techniques.
- Strong communication and collaboration skills.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy
If you have any questions, please reach out to us at [email protected]
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