ML Ops – Production Engineer
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Job Description
ML Ops/Production Engineer focused on scientific computing and data processing AI systems optimization. Innovating frameworks for fast experimentation, training/validating models, and managing production systems.
Responsibilities:
- Innovating around frameworks that enable fast experimentation with large datasets, training/validating models and CI/CDs.
- Development of production systems and supporting systems such as to enable training/validation of new models, management of data etc.
Requirements:
- Experience with building production grade distributed systems involved in processing large datasets, ML/AI, LLMs.
- Comfortable with designing/building systems with ambiguous requirements, anticipating changes or expansion.
- Delivered results (software) in academic/industry settings
Benefits:
- Distributed workplace. While we have positions we hire for in our SF office, we also hire remotely across North America.
- Own a piece of the journey. Every teammate gets meaningful equity on top of their salary.
- We’ve got you covered. Generally, we pay 90% of your medical, dental, and vision is paid by Ent. We also cover 75% for your dependents.
- Take the time you need. Our flexible PTO lets you recharge, travel, or just take a breather.
- Family matters. 14 weeks of fully paid parental leave (birth, adoption, or foster)!
- Live well. A $100 monthly lifestyle account to spend on what keeps you healthy and happy — fitness, wellness, learning, and more.
- Set up your space. A $500 home office stipend when you join as a remote employee.
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