Senior Software Engineer - AI​/Algs

Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for automating and accelerating enterprise analytics. With the data warehousing market expected to grow to 51B annually by 2028, Keebo is an industry innovator, as the only fully-automated Snowflake optimizer, adjusting dynamically to save many customers 25% and more.

Built on state-of-the-art in machine learning and artificial intelligence, and over 15 years of cutting-edge research at top universities, Keebo reduces tedious and months-long manual operations to a matter of minutes, freeing up data teams to work on improving their core business. Our team is spread across the globe, supporting customers worldwide.

As a Senior Software Engineer on our AI team, you will bring your expertise in data engineering and ML Ops to help the team move faster and achieve critical revenue goals for Keebo. You will work closely with the AI engineers to understand their data and training needs, design and implement an improved ML platform that balances cost and speed of development, and have an opportunity to do AI/ML engineering yourself.

You Will

Design and implement an AI/ML platform that balances speed of development with cloud costs

Collaborate with the rest of the AI team achieve goals that drastically impact the revenue of the business

Mentor AI engineers in data engineering and MLOps best practices

Mentor engineers across Keebo in data engineering and architecture best practices

You Have

Experience as a data engineer, building data pipelines, ensuring data quality, and implementing data modeling for use by ML/analytical models

Experience with MLOps, including using automated testing and CI/CD to speed up model development

Experience automatically monitoring the quality and effectiveness of ML/AI models from local dev through to production

Experience with GCP or AWS

Experience with Python and Golang, or similar

Skilled in designing and implementing scalable, resilient data engineering and MLOps architectures that balance cost and speed of development

Skilled in being self-directed and moving quickly to build and improve systems and architectures

Strong communication skills and ability to advocate for data engineering best practices across the entire engineering organization

Skilled in mentoring engineers in data engineering best practices

Ability to work in a fast-paced early stage startup

Skilled at communicating effectively in a distributed environment with people across multiple time zones

Strong self-motivation, initiative, and adaptability

Nice to Have

Experience with Java

Experience with Google Cloud

Experience working as an ML/AI engineer in the past

Our Environment
Keebo is a fully remote, global team with team members currently in the US, EU, and Canada.

What we Offer
Working with a world-class team of researchers and engineers in machine learning to turn AI algorithms into scalable and automated cloud products.

For full-time positions:

Competitive salary packages

Equity

Home office stipend

Comprehensive medical, dental, and vision benefits

401k retirement program

Annual company offsite (this year the team met up in Cancún, Mexico!)

Paid time off

Paid parental leave

Keebo is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, age, disability, genetic information, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We strive to create a diverse and inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.

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