Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)
Tasks
- Build data pipelines to generate training datasets
- Collaborate on experimentation and model iteration
- Evolve offline ML platform architecture
- Improve dataset validation monitoring and testing
- Optimize performance and efficiency across data processing and training
- Orchestrate multi stage ML pipelines
- Support distributed model training workflows
Perks/Benefits
- Commute subsidy
- Comprehensive health insurance
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation and personal days
- Life and disability insurance
- Mental health and wellbeing programs
- New parents leave and family care support
- Office Food Snacks
- Relocation support not available
- Retirement pension plans
- Training and development programs
- Volunteering and donation matching program
- Work visa immigration sponsorship not available
Skills/Tech-stack
Apache Airflow | Data Pipelines | Data Processing | Data Validation | Distributed Systems | Experimentation | Large Scale Data | Large-scale | Machine Learning | Monitoring | PyTorch | Python | Ray | TensorFlow | Testing | Workflow Orchestration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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