Senior Recommendation Algorithm Engineer

About the role

In this role at Bybit, you will focus on developing and optimizing recommendation models that enhance user experience across trading products and community content. You will leverage large-scale behavioral data to improve the effectiveness of these models and explore innovative strategies to address challenges such as cold-start scenarios.

Bybit is a leading cryptocurrency exchange with a global presence, serving over 80 million users. The team values a high-performance environment where technical talent is encouraged to make a significant impact. You will engage in multi-domain challenges that blend AI and recommendations, allowing for substantial advancements in machine learning.

Skills that matter here

• Python: This role requires proficiency in Python for developing recommendation algorithms.
• Java: Java skills are also essential for building and optimizing recommendation systems.
• C++: C++ knowledge contributes to efficient algorithm development in a performance-sensitive environment.

Who this role suits

• Candidates with a strong background in algorithm development for consumer-facing applications will thrive.
• Individuals who are analytical and enjoy solving complex technical problems will find this environment rewarding.
• A collaborative mindset and effective communication skills are crucial for translating business needs into technical solutions.

From the employer

Key Responsibilities

• 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.

Requirements

• 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.

Why Join Us

• 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.

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.