Member of Technical Staff (Data Intelligence)
Reka AI · US, UK, Singapore, Remote
Frontier labremote
At a glance
Highlights
- Ensure petabyte-scale data pipelines power training of fundamental World Models.
- Define good data with researchers and link data choices to model behavior.
- Build automated quality assessment and synthetic-to-real adaptation algorithms.
What they offer
- 5 weeks of paid leave
- Comprehensive healthcare benefits including vision and dental
Ideal candidate
ML-minded engineer who loves data quality and thrives between research and production. You enjoy digging into datasets, running rigorous experiments, and shipping reliable systems at scale in fast-moving teams.
Requirements
- Strong ML and deep learning fundamentals with large-scale data and/or compute systems experience
- Comfortable moving between research questions and production engineering
- Demonstrated research experience with data compositions, quality, and dataset releases
- Ability to design and execute experiments with convincing unbiased outcomes
- Practical experience with distributed processing and orchestration (Spark, Ray, Airflow, or equivalents)
- Solid Python skills and familiarity with modern model training workflows
- Strong instincts around measuring, monitoring, and preventing data quality regressions at scale
- Able to work in fast-moving environment and communicate clearly with researchers and engineers
- remote policy
- Remote-first, globally distributed team
- visa sponsorship
- Visa assistance, including H1B and OPT transfers for US employees
Lab profile
About Reka AI
AI research lab building frontier multimodal models and physical-world intelligence for robotics and enterprise.
What they build
- Reka Core, Flash and Edge multimodal models
- Applied AI solutions for enterprise deployment
- Claru data marketplace for frontier and robotics labs
Known for
- Frontier multimodal model development
- Productionizing AI for real-world use
- Petabyte-scale data processing
- GPU performance engineering
Key facts
- Founded in 2022
- Headquartered in San Francisco
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