Senior Research Engineer
Tasks
- Build evaluation frameworks
- Build production-ready AI services
- Communicate research findings
- Contribute to AI policy and auditing
- Curate high-quality datasets
- Design and implement AI systems
- Design controlled experiments
- Develop end-to-end machine learning pipelines
- Drive research and innovation
- Fine-tune large language models
- Identify and mitigate responsible AI risks
- Identify and resolve model performance issues
- Operate CI/CD and MLOps workflows
- Operationalize continuous learning
- Optimize AI model latency and throughput
- Partner with cross-functional teams
- Read and critique research papers
- Review and adapt emerging research
- Translate research into applications
- Turn ideas into software modules
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Bias Mitigation | CI/CD | Data Engineering | Deep learning | Experimentation Frameworks | Inference Optimization | JAX | Language Models | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Multimodal Models | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | TensorFlow | Vector Databases
Education
Roles
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