Machine Learning Research Engineer
Tasks
- Build training and inference pipelines
- Collaborate with ML Platform engineers
- Design applied AI solutions
- Develop dataset construction and monitoring tooling
- Document research findings and design decisions
- Implement experimentation workflows
- Implement safety fairness and reliability evaluations
- Mentor engineers on applied ML methodology
- Optimize models for accuracy latency throughput cost
- Translate business problems into ML formulations
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Studies | Accelerator hardware | Agentic Systems | Computer Vision | Data Quality | Data labeling | Data quality monitoring | Dataset Construction | Deep learning | Distributed Training | Experimentation | Fine Tuning | JAX | Language Processing | Machine Learning | Mixed Precision | Mixed-precision training | Model Alignment | Model Evaluation | Model Fine-tuning | Model Training | Multimodal Learning | Natural Language | Natural Language Processing | Observability | PyTorch | Python | Quality monitoring | Recommendation Systems | Responsible AI | Retrieval-Augmented Generation | Statistical Evaluation | Structured data
Education
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