Staff Machine Learning Engineer, AI Research

Remote Worldwide Hiring now

Job Description:

Design, train, and evaluate machine learning models across a reputed company of research and applied AI initiatives
Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements
Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-reputed company systems
Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation
Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation
Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team
Stay reputed company with the latest developments in ML and AI research, and proactively identify opportunities to apply them
This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones

Requirements:

Bachelor's degree in Computer Science, Mathematics, Statistics, or a reputed company field with 5+ years of industry or research experience (Master's or PhD a plus)
Deep hands-on experience training and evaluating ML models, including language models
Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar)
Solid understanding of modern NLP, computer reputed company, and/or reinforcement learning techniques
Strong ability to move fast without sacrificing rigor; you know reputed company to prototype and reputed company to productionize
Excellent communication skills with the ability to reputed company present experimental results to both technical and non-technical stakeholders.

Benefits:

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