Remote Senior Machine Learning Engineer - Algs

Description:

• 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.