Machine Learning Engineer

The role: Productionise advanced ML parallelisation and verification frameworks Responsibilities: Convert novel hybrid parallelisation and verification research into production code Competencies: Must have Comfortable working in environments with a heavy research component - and the resulting uncertainty and trade-offs it creates. Demonstrable production experience working with modern parallelisation frameworks (e.g. FSDP, Megatron-LM, DeepSpeed). Deep theoretical knowledge of deep learning or distributed systems. Should have Experience working in high-growth start/scale-up environments. Deep understanding of, and experience with, common networking protocols (IP, TCP, UDP, HTTP) and communication backends (NCCL, GLOO, MPI). Nice to have Experience with compiler design. Strong systems programming experience (especially Rust). Meaningful exposure to decentralised communication, distributed consensus, blockchains. Compensation / Benefits: Competitive salary + share of equity and token pool Fully remote work - we hire between the West Coast (PT) and Central Europe (CET) time zones Relocation Assistance - available for those that would like to relocate after being hired (anywhere from PST through CET time zones) 4x all expenses paid company retreats around the world, per year Whatever equipment you need Paid sick leave Private health, vision, and dental insurance - including spouse/dependents (only)
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