{"id":2496510,"url":"https://alion.io/job/binance-binance-accelerator-program-research-data-scientist-3","title":"Binance Accelerator Program - Research Data Scientist","company":{"id":44,"name":"Binance","domain":"binance.com","url":"https://alion.io/company/binance","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong","Singapore","Japan","Taiwan"],"countries":["HK","SG","JP","TW"],"hiring_countries":["HK"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Rust","optional":false}],"status":"live","first_seen_at":"2026-10-14T03:40:51Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T17:02:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.\nAbout the Role\nFor all students looking to gain hands-on experience! You'll work directly with senior scientists on research problems at the frontier of LLM reasoning, post-training methodology, and agentic AI - applied to global crypto markets. Your work has a direct path to production systems serving hundreds of millions of users, and where findings warrant it, a clear path to external publication.\nYou run experiments, implement ideas from recent research, synthesize papers into hypotheses, and work with engineers to understand how research translates to real systems.\nThis is not a purely literature-review or passive research role. You are expected to think independently and generate insight.\nResponsibilities\nContribute to the design and execution of experiments in reasoning model training, post-training alignment, test-time scaling, or systematic model evaluation - with a focus on applications in financial and crypto-native contexts\n\nReview and synthesize recent academic literature at NeurIPS, ICML, ICLR, and ACL - tracking developments in reasoning, alignment, and agentic AI to inform and sharpen ongoing research directions\n\nImplement model variants, training procedures including RLVR-based approaches, and evaluation protocols using PyTorch and the Hugging Face ecosystem\n\nTrack and log experiments systematically using Weights & Biases or equivalent - maintaining reproducibility standards throughout\n\nExplore the intersection of LLM reasoning and crypto-native data: on-chain signals, market microstructure, multi-modal market intelligence - identifying research opportunities unique to Binance's position\n\nCollaborate with applied engineering teams to understand how research findings translate into production constraints in a zero-downtime, 24/7 trading environment\n\nQualifications\nCurrently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or related field strongly preferred;\n\nExpected graduation in 2026, 2027, or 2028\n\nStrong Python programming skills and PyTorch proficiency; C++ or Rust exposure a plus. Equally important: demonstrated comfort with vibe coding - using AI-assisted development tools fluidly as part of your research and experimentation workflow\n\nSolid understanding of transformer architectures, large language model pretraining, and the evolution toward reasoning models\n\nWhy Binance\nShape the future of finance \nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle challenging projects in a fast-paced and innovative enviornment with autonomy\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nRemote-first, work-from-home arrangement (may vary depending on the nature of the role and team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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