Remote Member of Technical Staff (Data Engineer)

Description:

• Take ownership of the entire data lifecycle, collaborating closely with researchers and engineers.
• Ensure data is reliable, accessible, and optimized for model training and evaluation.
• Explore innovative data augmentation techniques.
• Gain firsthand experience in developing cutting-edge multimodal foundation models.

Requirements:

• Proven experience in data engineering with a strong background in building and managing scalable data pipelines.
• Proficiency in Python and working with big data technologies like Hadoop or Spark.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data-related services (e.g., S3, BigQuery, Redshift).
• Strong understanding of data storage, processing, and retrieval methods for structured and unstructured data.
• Familiarity with machine learning workflows, especially in model training and evaluation.
• Preferred experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Strong problem-solving skills and a proactive approach to implementing new technologies.

Benefits:

• Work with a collaborative mission-driven team on cutting-edge AI technology.
• Open and inclusive work environment.
• 4 weeks paid leave.
• Visa support (H1B and OPT transfer for US Employees).
• Healthcare benefits, including vision and dental.