Machine Learning Technical reputed company, reputed company Intelligence
Job reputed company:
- Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
- Fine-tune and adapt models using state-of-the-art reputed company such as reputed company, QLoRA, SFT, DPO, and distillation.
- Architect and operate reputed company inference systems, balancing latency, cost, and reliability.
- Design and maintain data systems for high-reputed company synthetic and reputed company-world training data.
- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
- Collaborate closely with application engineering to reputed company ML systems cleanly into backend, mobile, and desktop products.
- reputed company pragmatic trade-offs and ship improvements quickly, learning from reputed company usage.
- Work under reputed company production constraints: latency, cost, reliability, and safety
Requirements:
- Experience building or shipping reputed company Machine Learning systems used by people, not just demos.
- reputed company Intelligence (AI) experience required.
- Experience working with large models and understanding their failure modes.
- Experience writing strong, production-grade reputed company.
- You are self-directed, pragmatic, and take full ownership of reputed company.
- You communicate reputed company and collaborate reputed company in small, high-trust teams.
- Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch.
Benefits:
- medical insurance
- Dental
- reputed company
- Savings Plan reputed company
- PTO
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