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- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Strong software engineering background with full-stack development experience
- Deep understanding of machine learning fundamentals, particularly large-scale model training
- Expertise in distributed systems, cloud computing, and scalable data processing
- Experience with data pipeline design, ETL processes, and data management systems
- Proficiency in translating academic concepts into production systems
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with dataset curation and quality assessment techniques Knowledge of computer vision and multimodal data processing
- Background in research environments or supporting ML research workflows
- Experience with data visualization and annotation tooling
- Familiarity with modern data filtering and deduplication methodologiesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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