6 days ago
β’ At Prime Intellect, we are on a mission to accelerate open and decentralized AI progress by enabling anyone to contribute compute, code or capital to train powerful, open models. β’ We are building the infrastructure for decentralized AI development at scale. β’ As a Research Engineer in our Mid Training team, you'll play a crucial role in shaping our technological direction, focusing on our test-time compute spend research ideas. β’ If you love working with synthetic data and teach LLMs reasoning abilities, this role is for you.
β’ Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for the inference or training of large-scale AI models. β’ Deep expertise in distributed inference techniques and frameworks (e.g. vllm) for optimizing the performance and scalability of AI workloads. β’ Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines. β’ Passion for advancing the state-of-the-art in synthetic data generation and democratizing access to AI capabilities for researchers, developers, and businesses worldwide. β’ If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, get familiar with these resources here, here and here and please reach out!
β’ Competitive compensation, including equity and token incentives, aligning your success with the growth and impact of Prime Intellect. β’ Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco. β’ Visa sponsorship and relocation assistance for international candidates. β’ Quarterly team off-sites, hackathons, conferences and learning opportunities. β’ Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.
Apply NowNovember 8
2 - 10
Research Engineer at Magic, focused on AI model training and evaluation.
October 20
501 - 1000
Support Chainlink Labs in building decentralized oracle technologies.
September 7
51 - 200
Operations Research Engineer for data science in grocery personalization and supply chain.
August 27
11 - 50
Develop safe and responsible LLMs for Fortune 500 companies using cutting-edge AI research.
πΊπΈ United States β Remote
π° $15.1M Series A on 2023-08
β° Full Time
π‘ Mid-level
π Senior
π Research Engineer
August 13
11 - 50
Collaborate to improve AI models and develop software for autonomous driving solutions.