AI Research Engineer
Tasks
- Build production training and inference pipelines
- Collaborate to optimize compute storage and accelerator usage
- Contribute to model selection and AI roadmap
- Design prototype and evaluate applied AI solutions
- Develop dataset construction labeling validation and monitoring tooling
- Document research findings and design decisions
- Implement experimentation workflows baselines and ablations
- Implement safety fairness and reliability evaluations
- Mentor engineers on applied ML methodology and responsible deployment
- Optimize models for accuracy latency throughput and cost
- Translate business problems into ML formulations
Perks/Benefits
- N/A
Skills/Tech-stack
Accelerators | Computer Vision | Data labeling | Deep learning | Distributed Training | Experiment tracking | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | Mathematics | Mixed Precision | Mixed-precision training | Model Evaluation | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Recommendation Systems | Responsible AI | Retrieval-Augmented Generation | Statistics
Education
Roles
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