Senior Recommendation Algorithm Engineer

About Us

• Develop and optimize recommendation models for Bybit’s trading products, content, and community. Leverage large-scale behavioral data to understand user interests and improve recommendation performance and user experience.

• Explore cross-domain transfer learning and cold-start strategies tailored to different business scenarios, improving recommendation effectiveness and coverage across domains.

• Optimize multi-objective ranking models for CTR, CVR, LTV, and other outcomes. Design approaches to combine ranking objectives and balance clicks, conversions, and long-term value under scenario-specific constraints.

• Model cross-scenario user behavior sequences, short- and long-term interests, and changes in intent. Build reusable user representations to address domain transfer, sparse feedback, and cold-start challenges.

• Explore generative recommendation approaches, including semantic IDs and generative candidate generation, and integrate them with discriminative recommendation pipelines.

• At least four years of experience developing search, advertising, or recommendation algorithms at a consumer-facing internet company, with a deep understanding of candidate retrieval, ranking, and multi-objective modeling.

• Strong computer science fundamentals and proficiency in at least one of Python, Java, or C++. Strong software design and coding practices, with a passion for solving challenging technical problems.

• Strong analytical and logical thinking skills, with the ability to identify problems and opportunities through data.

• A keen interest in emerging technologies and the ability to approach complex problems with clarity and sound reasoning.

• Strong business judgment, communication, and collaboration skills, with the ability to translate business needs into effective technical solutions.

• Experience in search, advertising, or recommendation algorithms at major technology companies such as ByteDance, Alibaba, Tencent, Meituan, Kuaishou, or Xiaohongshu.

• Experience with multi-objective modeling, short- and long-term user sequence modeling, personalized uplift modeling, or generative modeling.

• Publications at leading international conferences such as KDD, SIGIR, RecSys, ACL, or NeurIPS.

• An AI-driven approach, with hands-on experience bringing LLM or agent applications into production for search, advertising, or recommendation use cases.

• A multi-domain recommendation challenge in fintech: Go beyond a single domain such as video or e-commerce. Build personalization capabilities across trading products, market intelligence, community content, campaigns, and AI-powered investment workflows.

• Proven business impact with significant room for ML advancement: Our current recommendation system has demonstrated a 71% increase in CTR and a 1,285% increase in conversion rate, with substantial potential for an ML-native upgrade.

• Work at the intersection of AI and recommendations: Build where traditional recommender systems, generative AI, and LLM agents meet—one of the most active frontiers in engineering.

• An opportunity to lead, not just follow: Bybit’s combination of trading, content, community, AI, and campaigns creates distinctive technical challenges and opportunities for rapid iteration.

• Global scale: Serve more than 80 million users across over 200 countries, tackling the real-world complexity of large-scale, real-time systems.

Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.