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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, Statistical Evaluation and Sampling”. A match may be a passing mention rather than the job itself. Titles only.
10 roles across 11 listings · show every listing
…hardware, software, research, and ML engineering to drive data collection from concept to production-scale BS in Computer Science, Machine Learning, Statistics, Neuroscience, or…
…in model evaluation and benchmarking. As an intern, you'll work alongside a team of researchers and software engineers in Seoul and San Diego…
…You'll partner closely with Software Design, Product, Data Science, and Engineering, and you'll use rapid experimentation as a core research tool, not…
…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience…
…modeling tools, and rigorous statistical techniques to validate planner behavior across diverse mission scenarios. Drive customer success by customizing algorithms and software for mission…
…dives, workshops, and executive-level design sessions with customer engineering, business, and leadership teams. - Create and share reusable reference architectures, code samples, technical content…
…As a Software Development Engineer, you will solve challenging data and distributed-systems problems at the center of Amazon’s next-generation shopping AI…
…As a Software Development Engineer, you will solve challenging data and distributed-systems problems at the center of Amazon’s next-generation shopping AI…
…SUMMARY Overall, an ideal researcher in deep learning consistently demonstrates: - A solid grounding in theoretical and statistical principles - A talent for proposing and validating…
…and semantic search - Agentic workflows and tool-use patterns - Deployment, distributed inference, and optimization of LLMs - Prompt engineering and context management - FM evaluation and…