Related skills
nlp python computer vision tensorflow pytorchπ Description
- Design, train, and evaluate ML models across research and applied AI.
- Run rapid experiments to test hypotheses and surface insights.
- Collaborate with researchers and engineers to productionize advances.
- Build and maintain ML pipelines for data ingestion, training, evaluation.
- Tune model performance via fine tuning, hyperparameter search.
- Document findings and share learnings with the team.
π― Requirements
- Bachelor degree in CS/Math/Stats with 5+ years experience (MS/PhD a plus)
- Deep hands-on experience training and evaluating ML models, incl language models
- Strong Python and ML frameworks: PyTorch or TensorFlow
- Familiarity with MLOps tools: MLflow, Weights & Biases, Kubeflow
- Solid understanding of NLP, computer vision, or reinforcement learning techniques
- Move fast without sacrificing rigor; know when to prototype vs productionize
π Benefits
- Health, dental, vision, short-term disability, life insurance
- Paid holidays and paid time off
- Fertility treatment benefit
- 401(k) plan
- Equity in Cribl
- Eligibility for discretionary company-wide bonus
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