Candidates should have a Ph.D. in Computer Science, Artificial Intelligence, or a related field. A strong background in AI techniques, particularly in modeling, abstraction, and reasoning, is essential. Experience with machine learning, program synthesis, and cognitive science is preferred, along with demonstrated research capabilities in AI systems.
Candidates should possess excellent programming and software engineering skills in Julia, Python, C++, and ML-family languages. They must have demonstrated the ability to drive software projects from start to finish, evidenced by open-source projects, technical reports, or publications. A high degree of autonomy and comfort with uncertainty is required, along with a passion for solving real-world problems and making a positive societal impact. Significant technical achievements in ML engineering…
Candidates must have a PhD or equivalent experience in a relevant area and a proven track record of conducting first-class scientific research published in prestigious venues such as PLDI, OOPSLA, and POPL. Strong software development skills and significant technical achievements within programming languages research and engineering are required, including experience in designing novel programming languages and contributing to compiler infrastructure for machine learning or statistics frameworks…
Candidates should have a PhD or equivalent experience in technical areas such as statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, or mathematics. Demonstrated ability to conduct high-quality scientific research is essential, evidenced by publications, technical reports, or software projects. A passion for solving real-world problems and making a positive societal impact is also required.
Candidates must possess exceptional writing skills with the ability to produce clear, concise, and compelling content. A minimum of three years of grant writing and editing experience is required, particularly with successful scientific grants for NSF, DARPA, and/or NIH. A PhD or equivalent experience in a technical area such as statistics, programming languages, machine learning, computational neuroscience, cognitive science, physics, or mathematics is necessary. Technical proficiency in mathem…
Candidates should have at least 4 years of experience managing technical projects with demonstrable impact. A PhD-level comprehension of AI/ML concepts is preferred, though not required. Proficiency with project management tools such as Linear, JIRA, or equivalent is necessary, along with familiarity with version control systems like Git and collaboration tools such as Notion and GSuite. Exceptional writing skills are required to communicate complex ideas clearly and concisely.
Candidates should have at least 3 years of production-level experience programming in Julia and/or Python. They must understand how to integrate large language models using structured prompts and advanced text generation approaches. Experience with concurrency, scaling, and performance optimizations in real-world deployments is required, along with the ability to handle complex API orchestration. Good collaboration and communication skills are necessary, especially for gathering requirements fro…