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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Software Engineer, Quantitative Evaluations”. A match may be a passing mention rather than the job itself. Titles only.
12 roles across 15 listings · show every listing
…from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated…
…Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations. Use simulation to explore performance of large GPU…
…Experience taking models from conception to production (scoping, data analysis, training, debugging, evaluation, benchmarking, and deployment). Engineering Excellence: Excellent software development skills with strong…
…Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience) 12+ years experience as an ML/Software Engineer with a proven…
…RDMA architecture Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations What we need to see: Bachelor…
…Hardware and software co-craft: Collaborate with hardware and software teams to craft systems that effectively apply high-speed interconnects (e.g., NVLink, InfiniBand…
…5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity…
…a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background. Deep familiarity with a data-driven approach…
…Evaluate impact through quantitative and qualitative measures, both in beta and after full release. Own and maintain the quality of your product area, ensuring…
…monitoring and releasing software M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field Expertise in applied…
…You’ll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering…
…Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization. Evaluate and validate model performance through rigorous…