TL;DR
Staff Machine Learning Engineer (AI): Design, train, and optimize machine learning models for AI-enabled Security and Observability platforms with an accent on integrating cutting-edge AI/ML technologies and building robust ML pipelines. Focus on developing production-ready systems, rapid experimentation, and applying latest research in NLP, computer vision, and reinforcement learning.
Location: Remote - United States only
Salary: $230,000 - $275,000
Company
hirify.global is a remote-first company providing data engine solutions for IT and Security, trusted by major industry players to solve complex data challenges.
What you will do
- Design, train, and evaluate machine learning models across research and applied AI initiatives
- Run rapid experiments to test hypotheses and improve models
- Collaborate with researchers and engineers to translate academic advances into production systems
- Build and maintain ML pipelines for data ingestion, feature engineering, and model training
- Optimize model performance through fine-tuning and architecture experimentation
- Contribute to a culture of rigorous experimentation and knowledge sharing
Requirements
- Must be located in the United States
- Bachelor's degree in CS, Math, Statistics or related field with 5+ years experience; Master's or PhD a plus
- Deep hands-on experience with ML models including language models
- Proficiency in Python and ML frameworks like PyTorch or TensorFlow
- Familiarity with MLOps tools such as MLflow, Weights & Biases, Kubeflow
- Strong understanding of NLP, computer vision, and reinforcement learning techniques
Culture & Benefits
- Remote-first work environment
- Comprehensive health, dental, vision, disability, and life insurance
- Paid holidays and time off
- Fertility treatment benefit
- 401(k) plan and equity options
- Discretionary company-wide bonus eligibility
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