Remote Senior Data Engineer, ML Platform

Description:

• Jobber is seeking a Senior Data Engineer to join their ML Platform team to enhance the ML Platform and help Machine Learning Engineers (MLEs) work more efficiently.
• The ML Platform team is focused on building a scalable, self-serve platform that empowers data scientists and ML engineers to deliver models faster and scale effectively.
• The Senior Data Engineer will report to the Director of Data and will be responsible for improving ML model development workflows.
• Key responsibilities include advancing the ML Platform, streamlining model deployment, enabling multi-stage environments, collaborating cross-functionally, building and maintaining inference pipelines, evolving the feature store, optimizing infrastructure, and establishing best practices.

Requirements:

• Candidates must have strong programming skills in Python and a background in software or data engineering.
• Practical experience with data transformation, modeling, and workflow orchestration using tools like dbt or Airflow is required.
• Expertise in containerization and CI/CD practices, particularly with Docker, is necessary.
• Experience in designing and implementing RESTful APIs for scalable ML services is essential.
• A proven track record of building platforms that empower stakeholders through self-serve capabilities is required.
• Strong understanding of DevOps principles, including infrastructure-as-code and automated deployment workflows, is necessary.
• Excellent problem-solving abilities and attention to detail, especially with complex data-intensive systems, are required.
• While not mandatory, experience in building ML platforms or MLOps infrastructure, familiarity with Ray, and knowledge of caching strategies and vector databases would be advantageous.

Benefits:

• The position offers a total compensation package that includes an extended health benefits package with fully paid premiums, retirement savings plan matching, and stock options.
• Employees will have access to a dedicated Talent Development team, coaching, learning, and leadership programs to support career growth.
• Jobber provides support for various breaks, including vacation, health days, birthday off, and parental leave top-ups.
• Employees will have the unique opportunity to impact a $400-billion industry that currently lacks a dominant player.
• The work environment is characterized by a supportive team that values humility and customer care.