Staff Machine Learning Engineer, Pegasus - TrainingOps
Tasks
- Build evaluation pipelines for machine learning systems
- Design end to end training pipelines
- Develop large scale inference systems for video processing
- Drive data curation workflow for multimodal model development
- Improve and automate end to end learning lifecycle
- Lead machine learning infrastructure design and implementation
- Mentor engineers through design reviews and collaboration
- Optimize distributed training stability reproducibility and efficiency
Perks/Benefits
- Conference budget
- Equipment stipend
- Health checkup
- Hybrid work
- Learning budget
- Memberships
- Paid time off
- Private insurance
- Taxi reimbursement
- Unlimited LLM tokens
Skills/Tech-stack
Data Curation | Deep learning | Distributed Training | End to End | End-to-end training | LLM | Language Processing | Machine Learning | Model Evaluation | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Reproducibility | Scalable systems | System design
Education
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