Machine Learning Researcher / Engineer (Foundational Models)
Description For Machine Learning Researcher / Engineer (Foundational Models)
Pathway is an innovative AI infrastructure provider seeking a Machine Learning Researcher/Engineer to advance their Live AI technology. The company, backed by notable investors and co-inventors of Transformers, recently secured $10M+ in seed funding. This R&D position focuses on attention-based models and offers a flexible GPU budget in the 7-digit range.
The role combines cutting-edge research with practical implementation in deep learning, specifically working on foundational architectures and creating new benchmarks. The ideal candidate should have a strong background in machine learning research, demonstrated through publications at top conferences or significant contributions to noteworthy LLM training efforts.
The position offers the unique opportunity to work on "Live AI" challenges around long sequences and changing data, making foundational contributions to the field. The company serves clients in mobility, IoT data, logs and transactions, including major organizations like NATO and national postal services.
Working at Pathway means joining a vibrant community with almost 10,000 GitHub stars and a team led by experienced growth leaders. The role offers competitive compensation, including equity, and the flexibility to work remotely while maintaining connection with offices in multiple global locations.
This is an exceptional opportunity for a skilled ML researcher to make significant impacts in advancing AI technology while working with a team that values intellectual stimulation and pioneering research.
Responsibilities For Machine Learning Researcher / Engineer (Foundational Models)
- Perform distributed model training
- Improve/adapt model architectures based on experiment results
- Design new tasks and experiments
- Oversee activities of team members involved in data preparation
Requirements For Machine Learning Researcher / Engineer (Foundational Models)
- Published at least one paper at NeurIPS, ICLR, or ICML as lead author or significant contributor
- Experience with deep learning and Language Models and/or RL
- Hands-on experience with PyTorch, Jax, or Tensorflow
- Understanding of GPU architecture, memory design, and communication
- Understanding of graph algorithms
- Familiarity with model monitoring, git, build systems, and CI/CD
- Fluent in English
- Permanent residence in the EU, UK, US, or Canada
Benefits For Machine Learning Researcher / Engineer (Foundational Models)
- Employee Stock Option Plan
- Six-digit annual salary
- Remote work flexibility
- Option to work from offices in Menlo Park, Paris, or Wroclaw
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