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docker python kubernetes tensorflow pytorchπ Description
- Design and train highly reliable, scalable AI/ML models for engineers
- Design agentic AI systems and multi-agent workflows
- Build and optimize large-scale ML training pipelines
- Develop and fine-tune foundation models (LLMs, vision) for SpaceX
- Create production-grade AI tools for data analysis, anomaly detection, and predictive modeling
- Collaborate on AI architecture, model design, training strategies, and code reviews
π― Requirements
- Bachelor's in CS/Data Science/Engineering/Math/Physics; or 4+ years AI/ML experience
- 1+ years AI software engineering focused on model training and fine-tuning
- 1+ years Python programming
- LLM transformers, training, and reinforcement learning basics
- Training and fine-tuning LLMs at scale
- Deep learning frameworks: PyTorch, TensorFlow, or JAX
π Benefits
- Medical, vision, and dental coverage
- 401(k) retirement plan
- Paid vacation and 10+ holidays
- Short and long-term disability insurance
- Life insurance and paid parental leave
- Employee stock purchase plan and stock options
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