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Description:
Pika is seeking a staff or lead-level Research Engineer, Data to architect and scale data engineering systems for model training of multimodal foundation models.
The role involves building and optimizing large-scale data pipelines and ensuring access to high-quality, diverse datasets for research teams.
Requirements:
5+ years of experience in building and scaling data pipelines for machine learning applications, preferably in research environments.
Strong background in data engineering and ML data curation for large-scale multimodal models.
Expertise in distributed data systems (e.g., Spark, Hadoop) and efficient ETL workflows.
Proven ability to create robust, scalable data infrastructure for ML pipelines.
Experience with data labeling, filtering, deduplication, and quality assurance tools.
Strong programming skills (Python, SQL, PySpark) and familiarity with cloud platforms (AWS, GCP, Azure).
Knowledge of privacy, compliance, and ethics in data management.
Excellent collaboration, problem-solving, and communication skills.
Passion for generative AI and creative technology.
Benefits:
Competitive salary and substantial equity in a high-growth startup.
Full health benefits, 401k matching, and more.
Collaborative, mission-driven team environment with growth opportunities.
Flexible on-site/remote hybrid work arrangement (HQ in Palo Alto, CA).