Keebo is a venture-backed startup that provides a cloud-based Data Learning platform for automating and accelerating enterprise analytics.
The company is an innovator in the data warehousing market, which is projected to grow to $51B annually by 2028.
Keebo is the only fully-automated Snowflake optimizer, helping customers save 25% or more.
The platform is built on advanced machine learning and artificial intelligence, based on over 15 years of research at top universities.
The role of Senior Software Engineer on the AI team involves leveraging expertise in data engineering and ML Ops to help achieve critical revenue goals.
Responsibilities include designing and implementing an AI/ML platform, collaborating with the AI team, and mentoring engineers in data engineering and MLOps best practices.
Requirements:
Candidates must have experience as a data engineer, including building data pipelines, ensuring data quality, and implementing data modeling for ML/analytical models.
Experience with MLOps is required, particularly in using automated testing and CI/CD to expedite model development.
Candidates should have experience in monitoring the quality and effectiveness of ML/AI models from development to production.
Proficiency in GCP or AWS is necessary.
Candidates must be skilled in Python and Golang, or similar programming languages.
The ability to design and implement scalable, resilient data engineering and MLOps architectures that balance cost and speed of development is essential.
Candidates should be self-directed and able to quickly build and improve systems and architectures.
Strong communication skills and the ability to advocate for data engineering best practices across the organization are required.
Candidates must have experience mentoring engineers in data engineering best practices.
The ability to thrive in a fast-paced early-stage startup environment is necessary.
Candidates should be skilled at effective communication in a distributed environment across multiple time zones.
Strong self-motivation, initiative, and adaptability are essential traits.
Benefits:
Keebo offers the opportunity to work with a world-class team of researchers and engineers in machine learning to develop scalable and automated cloud products.
Full-time positions come with competitive salary packages.
Employees receive equity in the company.
A home office stipend is provided to support remote work.
Comprehensive medical, dental, and vision benefits are included.
A 401k retirement program is available for employees.
The company organizes an annual offsite, with recent gatherings in locations like Cancún, Mexico.
Paid time off is offered to employees.
Paid parental leave is also part of the benefits package.
