Remote Research Engineer, Synthetic Data

Posted 2 hours ago

Description:

Join HUD to build a synthetic data pipeline for AI training tasks.
Collaborate with experts to create realistic and diverse synthetic tasks for various domains.

Requirements:

Proficiency in Python, Docker, and Linux environments.
Experience with synthetic data research methods and building end-to-end synthetic data pipelines.
Strong understanding of synthetic data quality and limitations.
Detail-oriented with problem-solving skills in unstructured environments.

Competitive compensation with base salary bands of $135,000 - $230,000 (SF) or $100,000 - $175,000 (Singapore).
Comprehensive medical, dental, and vision coverage; lunch and dinner for in-office employees.
Unlimited access to AI tools and perks like Equinox membership and wellness stipends.

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