Staff ML Engineer Large Language Models
1 month ago
Thecompany
Nebius AI is an AIcentricpublic cloud platform specifically crafted to serve AI models fortraining and inference.
Our mission is to help MLpractitioners concentrate on their core jobs while DevOps MLOps andinfrastructurerelated tasks are handled by us. The idea is to buildan MLspecific cloud platform covering the entire ML lifecycle fromA to Z: from data preparation and labeling to ML training andinference.
We recognize the potential of ML andAI technologies and aim to provide our future users with theperfect environment to train and finetune their models. We arecommitted to delivering the best user experience and excellentcustomer support.
Fourdevelopment hubs:
Nebius is headquarteredin the Netherlands with hubs in Finland Serbia andIsrael.
Data center inEurope:
Our own data center in Finlandfeatures server racks designed inhouse for MLspecific high loadwith powerefficient solutions including a freecoolingsystem.
500professionals:
Our mature team of engineershas a proven track record in developing sophisticated cloud and MLsolutions and designing cuttingedgehardware.
OurTeam
Nebius Large Language Models (LLM)team is dedicated to pushing the boundaries of language modellingtechnology.
We are focused on developing astateoftheart LLM technological stack that spans foundational modeltraining and webscale data collection. Our overarching objective isto pioneer cuttingedge language generation technology for bothinternal use and customer applications driving the evolution of thenext generation of AIpoweredproducts.
TheRole
We are currently in search of StaffMachine Learning (ML) engineers with exceptional skill sets and apassion for large language models. Your invaluable contributionswill play a pivotal role in shaping our advanced LLMstack.
In thisposition your responsibility will beto:
- Conductexperiments with innovative deep learning methods to improve ourmodels.
- Explore techniques to enhance of ourpretraining and alignmentdata.
Weexpect you tohave:
- 5years experience in a Machine Learning or AI relatedrole
- Substantial industrial or academicexperience with large language models and generativeAI.
- A profound understanding of the theoreticalfoundations of machine learning.
- Familiaritywith modern deep learning frameworks such as TensorFlow PyTorch orJAX.
- Proficiency in contemporary softwareengineering approaches including CI/CD version control and unittesting.
- A commitment to maintaining extremerigor in all jobrelatedactivities.
AdditionalAdvantages:
- Previousexperience working with language models or other similar NLPtechnologies.
- Track record of building anddelivering products (not necessarily MLrelated) in a dynamicstartuplike environment.
- Strong engineeringskills including experience in developing large distributed systemsor highload web services.
- Opensource projectsthat showcase your engineeringprowess.
Doesall that sound like your kind of challenge Then joinus
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