Eclipse - Data Scientist (AI Data & LLM Specialist)
Requirements
• Proven experience as a Data Scientist or Machine Learning Engineer with a focus on data quality and preparation. • Strong understanding of data labeling methodologies and hands-on experience with data annotation platforms and workflows. • Demonstrated experience preparing datasets for training and fine-tuning Large Language Models (LLMs), including knowledge of techniques like tokenization, embeddings, and NER. • Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn, spaCy, Hugging Face). • Experience using APIs/SDKs to automate data annotation and active learning loops. • Excellent communication skills, with an ability to create clear documentation for technical and non-technical audiences.
Responsibilities
• Develop Data Labeling Strategies: Design and document a formal data annotation strategy, including clear, scalable, and efficient guidelines for labeling our data. Define and enforce quality metrics, including inter-annotator agreement. • Optimize for LLM Consumption: Research, define, and prototype the optimal data formats, structures, and pre-processing steps required for fine-tuning and training LLMs on our datasets. • Data Quality Analysis: Establish automated processes and metrics to analyze the quality of both raw and labeled data, providing feedback to improve our data collection and labeling workflows. • Collaborate with Engineering: Work closely with the engineering team to guide the implementation of data processing pipelines and ensure the data infrastructure meets the needs of ML applications. • Nice-to-Haves • Nice-to-Haves • Experience with audio data processing and relevant libraries. • Familiarity with data annotation platforms and tools. • Knowledge of modern MLOps principles and practices. • Experience with large language model data curation and Reinforcement Learning from Human Feedback (RLHF) pipelines. • Eclipse is building the fastest Ethereum Layer 2, powered by the Solana VM. Our general-purpose L2 combines the best of the modular stack without sacrificing UX or fragmenting liquidity. On top of this foundation, we’re building apps in-house and iterating quickly to find breakout consumer and AI experiences. We’re backed by top investors including Polychain, Tribe Capital, Placeholder, and DBA. • Opportunity. We believe blockchains should be fast AND highly usable. You’ll do high-impact work to enhance Ethereum’s scalability, shaping the future of crypto • Opportunity • Flexibility. We collaborate synchronously and asynchronously, across weekly all-hands meetings, Slack messaging, and quarterly in-person meetups • Flexibility • Team. Our founding team has experience launching and scaling blue-chip projects such as dYdX, Uniswap, and zkSync. We’re backed by leading funds and leaders including Polychain, Tribe, Placeholder, DBA, Mustafa Al-Bassam, Tarun Chitra, Meltem Demirors, and others • Culture. As an early member of our team, you’ll have a unique opportunity to help shape our culture. We value intellectual honesty, bias towards action, and believe every member plays a key role in achieving our ambitious goals • Culture • Compensation. You’ll receive a competitive salary + equity + benefits package.
Benefits
• MLOps and RLHF knowledge. Perks & • Competitive salary + equity + benefits. • Flexible remote work with strong team from dYdX, Uniswap, zkSync. Backed by top VCs. To apply: Submit your application here: https://job-boards.greenhouse.io/eclipse/jobs/4981191008 (include resume/CV). Original post: https://job-boards.greenhouse.io/eclipse/jobs/4981191008 New here? Subscribe and mute notifications. DYOR! I don t verify jobs. Payment or file requests = scam. I'm not hiring myself! Sharing fresh Web3 jobs daily. #NFA #DYOR All my other social media! Subscribe! Intern/Junior Web3/Crypto/Blockchain Roles DAILY Allweb3jobs on Twitter/X Allweb3jobs on LinkedIn Coinmarketcap token analysis Binance token analysis Want to promote something or just ask a question? Feel free to reach out: @crypto_vazima
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