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)
Qualifications :
- BS, MS or PhD in Computer Science or related field
- 4+ years of professional ML development experience, software architecture, system performance, latency and data flow.
- Prior experience with transformers models and pre-training techniques
- Solid coding proficiency in Python.
- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts.
- Understanding of parallel machine learning training and model deployment (e.g., TensorRT conversion).
- Ability to productionize machine learning models.
- Experience building software solutions on cloud infrastructure.
- Ability to rapidly prototype and test new algorithms.
- Solid problem solving skills using linear algebra, geometry, statistics & probability.
Pump
