As a Founding Machine Learning Engineer at Pump, you will play a pivotal role in shaping the core machine learning capabilities of our platform. You will be responsible for designing, developing, and implementing cutting-edge machine learning models and algorithms to drive cloud cost saving insights and automation. Your work will accelerate ML development as the team scales up and out alongside Pump’s explosive customer growth.
Responsibilities :
- Collaborate with engineers and UX designers to build machine-learning based systems
- Collaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the team’s business objectives
- Help guide decisions based on your knowledge of the data and statistical applications
- Bring a broad awareness of the landscape of statistical and ML-based tools for solving common end-user problems (e.g. recommendation systems, prediction models, decision trees)
*Contribute to developing our core read/write APIs.
*Ensure the reliability, scalability, and low latency of backend application development.
Qualifications -
- BS, MS or PhD in Computer Science or related field
- 6+ years of professional ML development experience, experience launching end-to-end production ML models.
- Experience with designing and evaluating A/B tests for newly launched models
- Fluency in Python and practical experience in applying CICD best practices.
- Strong understanding of machine learning approaches and algorithms.
- Experiences with AWS, Azure and/or GCP.
- Experience with large scale data processing (e.g • Hive, Scalding, Spark, Hadoop, Map-reduce)
- Ability to rapidly prototype and test new algorithms.
- Able to prioritize duties and work well on your own.
- Skilled at solving open ambiguous problems.
Pump.co
