DFINITY is hiring a
Remote Software Engineer Reinforcement Learning
\nEmployment Type: 6 Month Contract\n\nWe are looking for a Software Engineer with a focus on data preparation and AI model training. You will work on assembling, annotating, and cleaning training data, while contributing to reward modeling and supervised fine-tuning tasks.\n\nYou might thrive in this role if you:\n\n\nHave a deep understanding of machine learning and machine learning applications.\n\nWorking knowledge and experience tuning large language models (multimodal) and building evaluations.\n\nBe willing to dive into large codebases to debug.\n\nSomeone who thrives in a dynamic and technically complex environment.\n\nTrack record of delivering outside-the-box novel solutions to solve real-world constraints.\n\n\n\n\n \n\nResponsibilities\n\n\nData Assembly & Annotation: Gather and annotate training data for AI models, ensuring it meets the quality requirements for reward modeling and supervised fine-tuning.\n\nData Cleaning & Processing: Conduct data cleaning and preprocessing to ensure models receive high-quality input.\n\nModel Training: Participate in the training and fine-tuning of models, ensuring that they meet performance and accuracy standards.\n\nCollaboration: Work with AI engineers, data scientists, and other team members to ensure efficient workflows and data handling.\n\nContinuous Improvement: Support iterative improvements to models based on performance monitoring and feedback.\n\n\n\n\n \n\nRequirements\n\n\nExperience: At least 3 years of experience working in a software engineering role focused on AI/ML tasks.\n\nData Expertise: Hands-on experience assembling, annotating, and cleaning training data for machine learning models.\n\nTechnical Skills: Proficiency in Python and experience with AI frameworks like TensorFlow or PyTorch.\n\nModel Training: Familiarity with model training, reward modeling, and supervised fine-tuning techniques.\n\nAttention to Detail: Strong focus on data quality and attention to detail when handling large datasets.\n\n\n\n\n \n\nBonus Points\n\n\nExperience working with reward modeling for AI systems.\n\nFamiliarity with data labeling tools and techniques for supervised fine-tuning.\n\nKnowledge of cloud platforms for AI/ML workloads.\n\n\n\nAbout DFINITY and the Internet Computer:\n\n\n\n\n\n\n\n\n\n\n\n\nDFINITY is a leading contributor to the Internet Computer Protocol (ICP), with a mission to bring the world's compute onto the secure ICP network. Built on its unique third-generation blockchain technology, ICP enables the development and operation of a new generation of unstoppable, tamper-proof, fully decentralized web applications. Its powerful technology can run entire AI models within smart contracts, representing a major advancement for secure AI. Through seamless integration with Bitcoin, Ethereum, and other networks, ICP facilitates multi-chain operations for digital assets and web3.\n\n\nJoin our team of over 250 talented individuals, including world-renowned cryptographers, distributed systems engineers, programming language experts, and industry leaders, who are shaping the future of the internet and web3.\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDFINITY was founded in 2016 by entrepreneur and crypto theoretician, Dominic Williams.\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Crypto, Python, Cloud and Engineer jobs that are similar:\n\n
$55,000 — $95,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nZurich or Remote (EMEA)
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