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.
As a Senior Machine Learning Engineer on the Algorithms team, you will leverage your expertise in machine learning and data science to help achieve critical revenue goals.
You will collaborate with ML engineers and data engineers to evaluate algorithmic and business problems.
Your role will involve building reliable, repeatable models that run in production with high quality.
Responsibilities include researching, implementing, and tuning cutting-edge RL/ML models, designing AI/ML models that balance quality, speed, and cost, and building pathways for promoting ML models from development to production.
Requirements:
You must have experience as a machine learning engineer, working on real-world problems that impact live customers.
You should have experience developing ML models end to end and deploying them into production environments.
Experience in building and maintaining scalable, reliable, and safe ML models that directly affect customer experience is required.
You need to have experience implementing AI/ML models that balance quality, speed, and cost.
You should be skilled in automatically monitoring the quality and effectiveness of ML/AI models from local development through to production.
Proficiency in SQL, data analysis, and databases is necessary.
You must have experience with Python and a strong track record of writing readable, maintainable production code.
Familiarity with GCP or AWS is required.
You should be self-directed and able to move quickly to build and improve systems and architectures.
The ability to work in a fast-paced early-stage startup environment is essential.
You must be skilled at communicating effectively in a distributed environment with people across multiple time zones.
Strong self-motivation, initiative, and adaptability are required.
Benefits:
You will work with a world-class team of researchers and engineers in machine learning to develop scalable and automated cloud products.
The position offers competitive salary packages.
You will receive equity as part of your compensation.
A home office stipend is provided to support your work environment.
Comprehensive medical, dental, and vision benefits are included.
A 401k retirement program is available for employees.
The company organizes an annual company offsite, with recent events held in Cancún, Mexico.
Paid time off is offered to ensure work-life balance.
Paid parental leave is also part of the benefits package.
