- Full Time
- Kuala Lumpur, Malaysia
Bybit at a glance
bybit.com/en- Founded 2018
SEC filings mentioning "Bybit": 171 — search EDGAR
Source: Wikipedia
Bybit
About Us
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Multi-stage Engine Development: Own the development and refactoring of high-concurrency, low-latency recommendation serving engines, powering the full pipeline of multi-channel recall (two-tower/collaborative filtering/ANN vector retrieval) → coarse ranking → fine ranking → re-ranking.
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Compute Tiering & Strategy Engine: Implement dynamic compute trimming and degradation mechanisms for dynamic Ul personalization and global strategy dispatch, ensuring core engine stability under extreme traffic spikes.
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Real-time Feature Pipeline: Build high-throughput, low-latency real-time feature streams on Kafka/Flink, enabling minute-level/second-level user pehavioral feature updates and dynamic sliding-window aggregations.
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Feature Store: Contribute to the development of unified online/offline feature storage with stream-batch convergence architecture; deeply govern industrial-grade pain points such as “online/offline feature inconsistency” and “feature time-travel leakage,” systematically improving online/offline feature consistency.
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Vector Retrieval System: Own the construction and optimization of large-scale vector retrieval systems (Faiss/Milvus/NSW) supporting candidate pools from tens of thousands to milions, lead index structure parameter tuning, achieving P99 retrieval latency < 100ms.
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Multi-source Heterogeneous Indexing: Build unified Embedding Pipelines and high-performance inverted index services covering trading products, news, KOL content, on-chain signals, and other heterogeneous data sources.
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Deep Model Engineering: Own high-performance online deployment and operator optimization of complex deep ranking models (e.g., DIN/SIM sequential models, MMoE/PLE multi-objective deep models).
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Inference Graph & Compute Governance: Solve compute explosion in multi-task/multi-objective online inference through inference optimization (quantization, graph optimization, batching strategies) – targeting fine-ranking P99 latency < 200ms.
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High Availability & SLO: Ensure global recommendation service P99 latency < 200ms and system availability > 99.9%; write comprehensive overload protection, thread isolation, and disaster recovery degradation code.
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Global Distributed Tracing: In complex multi-region/multi-site/multi-language cross-border IDC environments, build and maintain end-to-end distributed tracing and monitoring systems (e.g.,Jaeger/Prometheus), establishing minute-level root cause attribution and fault localization mechanisms.
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Experimentation Platform Engineering: Contribute to A/B experiment traffic-splitting platform upgrades, engineering CUPED variance reduction and sequential testing mechanisms to reduce sample size requirements and accelerate algorithm iteration pipelines.
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Industrial-grade Hands-on Experience: 5+ years of recommendation system engineering at consumer-scale internet companies; must have deeply participated in or led architecture refactoring or launches of realtime recommendation systems serving tens of millions of users at scale. Proven experience building recommendation systems from 0→1 (not just maintaining mature systems) is strongly preferred.
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Mastery of Engineering Foundations: Exceptionally solid low-level CS fundamentals; proficient in at least one of Go/Java/C++ (Go preferred given current stack; C++ experience a plus for future engine optimization); familiar with PyTorch/TensorFlow model online inference and deployment optimization.
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Deep Expertise in Big Data & Retrieval: Hands-on with Spark/Flink/Kafka stack, with real experience solving stream computing latency and data backlog issues; proficient in Milvus/Faiss cluster deployment and tuning.
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Engineering Perspective on Algorithms: Deep understanding of computational complexity and online bottlenecks of core algorithms (collaborative filtering, two-tower recall, multi-objective optimization MMoE/PLE); ability to interface smoothly with algorithm teams for high-quality, efficient engineering translation.
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Excellent System Design Capability: Proven experience in actual development and core module design of recommendation platforms, feature platforms, experimentation platforms, or high-performance RPC frameworks at top-tier companies.
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.
To apply for this job please visit job-boards.eu.greenhouse.io.
Explore Bybit online
What people say about Bybit
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Recent news
- Bybit to Leave EU as MiCA Takes Effect - Bitcoin Foundation
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- Singapore Flags Bybit on Investor Alert List — What Does It Mean for Users? - Yahoo Finance
- Bybit Card Launches in Peru: Seamless Spending with Up to 120 USDT in Rewards By Chainwire - Investing.com
Aggregated from public discussions and news; opinions are the authors’ own.
Working in Kuala Lumpur, Malaysia
Weather right now in Kuala Lumpur, Malaysia: checking… · Local time: · Air quality: · Daylight: · UV index:
Kuala Lumpur (KL), officially the Federal Territory of Kuala Lumpur, is the capital city and a federal territory of Malaysia. It is the most populous city in the country, covering an area of 243 km2 (94 sq mi) with a population of 2,075,600 as of 2024. Greater Kuala Lumpur, which itself includes the Klang Valley, is an urban agglomeration of 8.81 million people as of 2024. It is among the fastest growing metropolitan regions in Southeast Asia, in terms of both population and economic development.
Kuala Lumpur (KL), officially the Federal Territory of Kuala Lumpur, is the capital city and a federal territory of Malaysia. It is the most populous city in the country, covering an area of 243 km2 (94 sq mi) with a population of 2,075,600 as of 2024. Greater Kuala Lumpur, which itself includes the Klang Valley, is an urban agglomeration of 8.81 million people as of 2024. It is among the fastest
🇲🇾 Relocation safety for Malaysia: Exercise Normal Caution — via Warnely, CC BY 4.0
National unemployment rate in Malaysia: 3.8% — via World Bank
- Elevation 34m (112 ft)
Source: Wikipedia (state)
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
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