AI Infrastructure Engineer
6 days ago
Conversational AI Pioneers Wanted
Rabbit, a revolutionary company developing cutting-edge conversational AI technology, is seeking an experienced Applied ML Engineer to join their exceptional and fast-growing team.
About the Role:
We are looking for talented individuals with a minimum of 2 years' experience in machine learning engineering to tackle diverse technical challenges as our ML function scales. You will work on various ML models, both off-the-shelf packages and open-source solutions, fine-tuning them to address a range of challenges. Additionally, you will be responsible for ML infrastructure setup, deployments, fine-tuning models, building data pipelines, and writing low-level code to address latency challenges.
Key Skills and Qualifications:
- Proven ML Engineering or ML infra/ops experience. A minimum of two years of commercial experience.
- Strong software engineering in Python, C++, with comfort in languages like Go, or Rust, or JS/Typescript
- PyTorch or Tensorflow. TensorRT and ONNX are useful.
- Using models/APIs such as Huggingface, OpenAI, etc. You'll be familiar with fine-tuning those models in areas such as: NLG, NLP, NLU, ASR, TTS, Computer Vision.
- Experience with AI lifecycle frameworks (AWS Sagemaker, Vertex AI, Azure ML, ClearML)
- Solving latency, performance, and inference challenges (grafana, DataDog, etc)
Benefits:
- Estimated salary between $170k-$250k (negotiable), generous shares, Healthcare, Unlimited PTO, Annual comp reviews, and company performance-related bonus.
- Hybrid work environment with 3 days a week on-site in Santa Monica. Relocation support available for US-based candidates.
How to Apply:
Submit your application via this advert to Marc Powell at Techire AI for immediate consideration. Please note that all applications must go through Techire AI to be considered.
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