Senior Machine Learning Engineer - Algs

divh2Senior Machine Learning Engineer - Algs/h2pKeebo 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./ppBuilt 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./ph3About the Opportunity/h3pAs a Senior Machine Learning Engineer on our Algorithms team, you will bring your expertise in machine learning and data science to help the team move faster and achieve critical revenue goals for Keebo.

You will work closely with ML engineers and data engineers to evaluate algorithmic and business problems and apply your machine learning and software engineering skills to build reliable, repeatable models that run in production with high quality./ppstrongYou Will/strong/pulliResearch, implement, and tune cutting-edge RL/ML models to achieve critical business outcomes/liliDesign and implement AI/ML models that balance quality, speed, and cost/liliCollaborate with the rest of the Algorithms team to achieve goals that drastically impact the revenue of the business/liliBuild repeatable, reliable pathways for promoting ML models from development to production/li/ulpstrongYou Have/strong/pulliExperience as a machine learning engineer, working on real-world problems impacting live customers/liliExperience developing ML models end to end and deploying into production environments/liliExperience building and maintaining scalable, reliable, and safe ML models that directly impact customers experience/liliExperience implementing AI/ML models that balance quality, speed, and cost/liliExperience automatically monitoring the quality and effectiveness of ML/AI models from local dev through to production/liliExperience with SQL, data analysis, and databases/liliExperience with Python, and strong track record of writing readable, maintainable production code/liliExperience with GCP or AWS/liliSkilled in being self-directed and moving quickly to build and improve systems and architectures/liliAbility to work in a fast-paced early stage startup/liliSkilled at communicating effectively in a distributed environment with people across multiple time zones/liliStrong self-motivation, initiative, and adaptability/li/ulpstrongNice to Have/strong/pulliExperience with Java and Golang/liliExperience with Reinforcement Learning/liliExperience with Google Cloud and BigQuery/li/ulpstrongOur Environment/strong Keebo is a fully remote, global team with team members currently in the US, EU, and Canada./ppstrongWhat We Offer/strong/ppWorking with a world-class team of researchers and engineers in machine learning to turn Al algorithms into scalable and automated cloud products/ppFor full-time positions:/pulliCompetitive salary packages/liliEquity/liliHome office stipend/liliComprehensive medical, dental, and vision benefits/lili401k retirement program/liliAnnual company offsite (this year the team met up in Cancn, Mexico!)/liliPaid time off/liliPaid parental leave/li/ulpKeebo 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, 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./p/div