דרושים Applied ML Researcher בתל אביב

A startup company in the Agriculture and AI domain has developed a Deep Learning-based system for detecting defects in produce, using advanced Vision and Signal Processing solutions on top of modern, high-performance MLOps infrastructure.

The company is located in Tel Aviv near a train line, employs 15 people, and offers a hybrid work model with two days from home.

They have completed funding rounds and are financially secured for at least the next two years.

Role Highlights-

• Applied research position, acting as a bridge between the Algorithms and Development teams.
• Suitable for candidates who enjoy combining Algorithmics, Development, and Data Science.
• Involves model evaluation and deployment to production.
• Applied research, development, and maintenance of ML models in production.
• Full ownership over inference stages, optimization, and deployment of existing models.
• Development of advanced pipelines for model serving, including integration of ONNX and TensorRT.
• Responsibility for CI/CD processes and performance monitoring of models in production.
• End-to-end ownership of Model Lifecycle infrastructure.
• Daily work with Deep Learning models for Computer Vision and Signal Processing.
• Includes Fine-tuning, Benchmarking, Data Processing, and infrastructure development for monitoring and control.
• Emphasis on Reproducibility and Scalability.
• Hands-on work with various production-grade DL models as part of an agile, small team.
• Tech stack includes: Python, Docker, Git, Linux, PyTorch, TensorFlow, SQL/NoSQL, Computer Vision, Signal Processing, AI/DL, and GCP.

Requirements-

• B.Sc. in a scientific field from a recognized university – required (M.Sc. – strong advantage)
• 5 years of experience as an Algorithm Developer / ML Engineer / similar titles – required
• 3 years of hands-on experience with Python – required
• 3 years of experience working with Computer Vision models – required
• Experience with classical Machine Learning models – required (e.g., Ridge, Lasso, Random Forest)
• Experience with at least one of the following: PyTorch / TensorFlow / PyTorch Lightning – required
• Experience with MLOps – required
• Experience working in a cloud environment – required
• Experience with Deep Learning – advantage
• Experience with Signal Processing – advantage