Job Description
At Sentient, we’re pioneering the decentralized artificial general intelligence (AGI) frontier, breaking free from the constraints of centralized AI models. Our cutting-edge platform is designed to democratize AI development, empowering communities to collaboratively train and control AI models in a truly open and accessible ecosystem.
Fueled by our expertise in distributed systems, cryptography, and AI, we’re building a game-changing environment that fosters open-source development and ensures fair value distribution. Say goodbye to the monopolies of the past – Sentient’s decentralized network promotes model composability and adherence to our foundational principles of transparency, trust, and inclusivity.
Imagine being part of a team that’s shaping the future of AGI, where innovation knows no boundaries, and the collective intelligence of global communities drives progress. Join us on this exhilarating journey as we redefine the AI landscape, unleashing the full potential of trustless, decentralized AGI.
Sentient is backed by leading Silicon Valley venture capital firms including Founders’ Fund, Pantera, and Framework.
Responsibilities
Work part-time or full-time during the year with the core Sentient Research teamConduct cutting-edge generative AI research in a fast-paced environmentDesign new agent architectures to improve end-to-end performance of AI workflowsDesign, run, and evaluate experiments to improve LLMs on various benchmarksExecute data engineering tasks to curate data for LLM pre-training, fine-tuning, RAGIntegrate and evaluate models with multi-modal capabilities for different verticalsRead conference papers on generative AI and knowledge retrieval to understand and evaluate new research in the spaceReplicate, evaluate, and integrate theoretical data-curation approaches, fine-tuning algorithms, and agent architectures from research papers into real productsSet up fine-tuning and evaluation pipelines on AWS, GCP, and other compute providersManage AI workload compute resources and monitoring, keeping track of experiments and assessing results
Required Qualifications
Hands-on experience in generative AI research and/or engineering, whether in industry or through academic work during the Bachelor’s / Master’s / PhD degree with corresponding published workDemonstrated expertise in deep learning and transformer modelsMastery of Python (PyTorch, numpy, agentic frameworks) for building AI workflows, fine-tuning models, and writing evaluationsStrong foundation in data structures, algorithms, and software engineering principlesFamiliarity with methods for training LLMs (distillation, supervised fine-tuning, policy optimization)Excellent problem-solving and analytical skills, with a proactive approach to challenges
Values
Appreciate and pursue deep expertiseEmbrace extreme ownership and bias for actionWant to take risks and act upon ambition with integrity and empathyPursue relentless innovation and experimentationInvest in personal growth and team collaboration
Benefits
Competitive salaryFlexible PTO and WFH policyTop-of-the-line engineers and technologyOpportunity to shape the direction of a pioneering open AI platform
Sentient is an AI research organization focused on creating an Open AGI economy for developers and creators. The organization builds platforms and protocols that allow open-source AI developers to monetize their innovations and collaborate effectively.
