Job Details

Job Description Job Description ML Engineer — Tilde Research Location: San Francisco, CA (Onsite)Compensation: $150,000 – $350,000 base + 0.5% – 1% equityAbout Tilde Research Tilde Research is a frontier AI research lab focused on mechanistic understanding of model architectures and optimization. They work on reasoning, pretraining, scaling laws, and architecture-level experimentation. Backed with strong funding and compute resources, Tilde operates with a small, highly selective team at the intersection of research and engineering.About the Role This is a research engineering role focused on implementing and scaling model development work at the frontier of AI. You will translate research ideas into working systems, own end-to-end training pipelines, and operate across transformer training, distributed systems, and evaluation. The role sits between research and engineering — you're expected to read papers, implement architectures, debug large-scale training issues, and reason about model behavior and optimization at a deep level.What You'll Own Implement research ideas in PyTorch or JAX and translate them into production-level systemsRun transformer training across distributed environmentsBuild and operate end-to-end pipelines covering data, training, and evaluationIdentify and resolve divergence, instability, and throughput issues at scaleOptimize training performance and system efficiencyWork closely with researchers to evaluate architectures and learning dynamicsContribute to experimentation across model behavior and optimization strategiesRequirements Strong experience with PyTorch or JAXHands-on experience with transformer training, distributed systems, and evaluation frameworksAbility to debug large-scale training issues including instability and performance bottlenecksExperience implementing research ideas and custom architecturesStrong understanding of model behavior, optimization, and learning dynamicsNice to Have Experience with Megatron-LM, DeepSpeed, xformers, or similar frameworksBackground at frontier AI labs or top research engineering teamsOpen source contributions to ML frameworksStrong mathematical foundation in optimization or learning theoryThis Role Is NOT For MLOps or infrastructure-focused profiles without model training experienceApplied ML roles not involved in pretraining or model developmentBackgrounds focused on deployment rather than training systemsLogistics Role is fully onsite in San Francisco — please only apply if you can commit to thisMultiple headcount | Completely open pipeline — strong opportunity to be first inShortlisted candidates will be contacted by David Joseph & Co. , the recruiting partner managing this search on behalf of Tilde Research.