LLM Data Scientist (Binance Accelerator Programme)

Candidates typically face a timed online assessment that tests coding speed and logical reasoning, followed by a deep‑dive technical interview where interviewers probe knowledge of machine learning pipelines, LLM architectures, and Python proficiency. The final HR round evaluates cultural fit, motivation for blockchain, and readiness for a full‑time commitment. Preparation should focus on real‑world ML project discussions and clear articulation of problem‑solving approaches.

Lever’s platform is known for fostering a collaborative and transparent hiring environment, emphasizing clear communication and rapid feedback. Employees often cite strong growth opportunities, access to cross‑functional teams, and a balanced approach to work‑life integration. The culture encourages continuous learning and values contributions from fresh talent.

• Minimum 60% aggregate (or CGPA 6.0/10) in B.Tech/M.Tech/BS/M.Sc. in Computer Science, Information Technology, Electrical Engineering, Statistics, Mathematics or related fields. • Final year students (2024‑2026 batches) or recent graduates (up to 12 months) are eligible. • Strong academic record with no more than 2 backlogs at the time of application. • Proficiency in Python and a solid foundation in machine learning concepts. • Demonstrated interest in AI, NLP, or blockchain through projects, internships, or coursework. • Ability to commit to a full‑time, 40‑hour‑per‑week schedule for the duration of the programme.

Round 1: Online coding & aptitude assessment → Round 2: Technical interview focusing on ML concepts, LLM fundamentals, and Python coding → Round 3: HR interview assessing cultural fit, motivation, and availability

Binance is one of the world’s largest cryptocurrency exchanges and a leading blockchain ecosystem. Founded in 2017, the company has rapidly expanded its product suite to include spot trading, futures, staking, and a host of decentralized finance (DeFi) services. With a global user base spanning over 180 countries, Binance invests heavily in technology innovation, research, and talent development. The firm’s Accelerator Programme is a flagship initiative that nurtures fresh talent by immersing them in real‑world AI and blockchain projects, offering mentorship from senior engineers and exposure to a fast‑moving, high‑impact environment. The LLM Data Scientist role is designed for recent graduates or final‑year students who are passionate about large language models, data science, and the blockchain industry. As a full‑time participant in the Binance Accelerator Programme, you will spend 40 hours a week working on cutting‑edge AI solutions that power Binance’s internal tools, customer‑facing chatbots, and market‑analysis engines. The programme blends hands‑on development with a structured curriculum that covers model architecture, data pipelines, and deployment best practices. You will be mentored by senior data scientists and engineers, receive regular feedback, and have the opportunity to showcase your work to senior leadership. Key Responsibilities: 1. Design, develop, and fine‑tune large language model (LLM) pipelines for various Binance products. 2. Clean, preprocess, and analyze massive datasets to extract actionable business insights. 3. Collaborate closely with software engineering teams to integrate AI models into production services. 4. Conduct experiments, evaluate model performance, and iterate based on metrics such as perplexity, latency, and user satisfaction. 5. Participate actively in the Accelerator curriculum, including workshops, hackathons, and peer‑review sessions. 6. Document code, methodologies, and findings to ensure reproducibility and knowledge sharing. 7. Stay updated with the latest research in NLP, deep learning, and blockchain‑related AI applications. 8. Contribute to internal research papers or blog posts that highlight innovative solutions. 9. Assist in building data pipelines using tools like Apache Spark, Airflow, or similar orchestration frameworks. 10. Provide technical support and troubleshooting for AI‑driven features during beta testing. Tech Stack: Python, PyTorch/TensorFlow, HuggingFace Transformers, SQL, Pandas, NumPy, Scikit‑learn, Docker, Kubernetes, Git, Linux, and optionally familiarity with blockchain APIs. Growth Path: Successful graduates of the accelerator are often offered full‑time positions within Binance’s AI, data science, or engineering divisions. The experience also equips candidates with a strong portfolio of AI projects, making them attractive to fintech, AI startups, and research labs. Continuous learning opportunities, internal mobility, and exposure to a global product ecosystem accelerate career progression. Why Join Binance? You will work at the intersection of AI and blockchain, two of the most transformative technologies of the decade. The programme offers a structured learning environment, mentorship from industry leaders, and the chance to see your models deployed at scale, impacting millions of users worldwide. Moreover, Binance’s culture of rapid innovation, merit‑based growth, and global collaboration makes it an ideal launchpad for ambitious technologists.