The Senior Machine Learning Engineer will leverage expertise in machine learning and data science to accelerate Keebo's revenue goals by designing, implementing, and deploying high-quality AI/ML models into production. This role involves close collaboration with ML and data engineers to solve algorithmic and business challenges using state-of-the-art reinforcement learning and artificial intelligence techniques. The position is part of The Quality Group (TQG), a team dedicated to turning AI algorithms into scalable and automated cloud products.
What You'll Do
- Research, implement, and tune cutting-edge RL/ML models to achieve critical business outcomes
- Design and implement AI/ML models that balance quality, speed, and cost
- Collaborate with the rest of the Algorithms team to achieve goals that drastically impact the revenue of the business
- Build repeatable, reliable pathways for promoting ML models from development to production
What We're Looking For
- Experience as a machine learning engineer, working on real-world problems impacting live customers
- Experience developing ML models end to end and deploying into production environments
- Experience building and maintaining scalable, reliable, and safe ML models that directly impact customers’ experience
- Experience implementing AI/ML models that balance quality, speed, and cost
- Experience automatically monitoring the quality and effectiveness of ML/AI models from local dev through to production
- Experience with SQL, data analysis, and databases
- Experience with Python, and strong track record of writing readable, maintainable production code
- Experience with GCP or AWS
- Skilled in being self-directed and moving quickly to build and improve systems and architectures
- 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
- Familiarity with reinforcement learning or bandit models
- Experience with Java and Golang
- Experience with Reinforcement Learning
- Experience with Google Cloud and BigQuery
Technical Stack
- Python
- SQL
- GCP
- AWS
- Google Cloud
- BigQuery
- Java
- Golang
Team & Environment
Join a global team distributed across the US, EU, and Canada, working in a collaborative, inclusive environment. The team values innovation, diversity, and remote-first collaboration, with reporting structure details not specified.
Benefits & Compensation
- 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
Work Mode
Full-time, fully remote role with team members located across the US, EU, and Canada. This is a global, distributed position with full remote flexibility.
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.
