Senior Data Engineer, AI/ML Platform & Data Pipelines

Octave; San Francisco (CA); On-site; USD 142,600 - 176,000; Full time

Benefits offered by this job

Equity in the form of stock options

Medical, dental, vision benefits

Generous paid time off

Paid parental leave

Job summary

Octave is hiring a Sr. Data Engineer in San Francisco to evolve their data platform for AI and ML applications. The role requires extensive experience in data engineering and familiarity with cloud platforms like AWS and GCP. Responsibilities include designing scalable systems and collaborating with data scientists to ensure reliable data pipelines. The compensation ranges from $142,600 to $176,000, depending on location, and the role offers benefits such as generous paid time off and stock options.

Qualifications

• 5+ years of experience in data engineering, platform engineering or ML engineering.
• Experience working with major cloud data platforms and tools.
• Proficiency in SQL and Python with familiarity towards modern data engineering frameworks.

Responsibilities

• Design, build, and maintain scalable systems for data ingestion and storage.
• Develop end-to-end AI/ML workflows from source ingestion to production.
• Support model development and operations for accuracy and fairness.

Skills

Data Engineering

Machine Learning

AWS/GCP

SQL

Python

Automation

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or related field

Tools

Airflow/Airbyte

Redshift/BigQuery

Spark

TensorFlow

PyTorch

scikit-learn

Job description

Octave is hiring a Sr. Data Engineer in San Francisco to evolve their data platform for AI and ML applications. The role requires extensive experience in data engineering and familiarity with cloud platforms like AWS and GCP. Responsibilities include designing scalable systems and collaborating with data scientists to ensure reliable data pipelines. The compensation ranges from $142,600 to $176,000, depending on location, and the role offers benefits such as generous paid time off and stock options.