Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)
Tasks
- Build data pipelines for training datasets
- Ensure dataset validation and monitoring
- Evolve offline ML platform architecture
- Improve reproducibility and reliability
- Optimize data processing and training performance
- Orchestrate multi stage ML pipelines
- Support distributed training workflows
Perks/Benefits
- Commute subsidy
- Disability insurance
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation and personal days
- Health insurance
- Life insurance
- Mental health programs
- Office Food Snacks
- Parental leave
- Retirement pension plans
- Training and development programs
- Volunteering donation matching program
Skills/Tech-stack
Airflow | Data Pipelines | Distributed Systems | Flyte | Machine Learning | PyTorch | Python | Ray | Spark | TensorFlow
Education
Regions
Countries
States
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