דרושים » מדעים מדוייקים » data Flow Compiler Engineer

Requirements:
Minimum Qualifications:
M.Sc. or Ph.D. in Deep Learning, Computer Vision, or a related field.
Experience in at least one of the following:
Publishing generative AI papers in top-tier conferences.
Developing deep learning models for production.
Knowledge of classical computer vision techniques and how to integrate deep learning models into a single feature.
Proficiency in Python and PyTorch.
Strong communication and teamwork skills.

Preferred Qualifications:
Prototyping experience (e.g., computer vision / LLM ) quickly implementing ideas for features from scratch.
Knowledge and experience with existing off-the-shelf and open-source models and frameworks (e.g., Hugging Face).
Keeping up to date with recent trends and papers in the Computer Vision community.
Experience with distributed training and large model optimization.
Experience with model efficiency techniques (quantization, pruning, etc.).

Requirements:
MSc./PhD in computer science, physics or another STEM field
At least 3 years of industry experience developing innovative deep vision models, from concept to production, in leading companies
An awesome team-player spirit
Strong analytical skills, and mission-oriented critical thinking
Fantastic coding capabilities, with a penchant for clean code and great design
Solid proficiency with Pythons scientific computing stack: NumPy, PyTorch, and Pandas
Nice to have:
A record of relevant academic research, with publications in leading journals and conferences
Specific experience in 3D (multi-view geometry, learning from multiple views and 3D data)
Industry experience as a software engineer; knowledge in (or willingness to learn) Rust.

Requirements:
5+ years of professional experience as s Computer Vision researcher.
MS.C. or PHd in EE / CS - an advantage
Experience with Python or Matlab- an advantage
Knowledge of working with Deep Learning - an advantage
Effective written and verbal English to communicate with our international team.
Solid analytical and problem-solving skills paired with the ability to develop creative and efficient solutions

Requirements:
B.Sc in Computer Science, Electrical Engineering or a related field from a well known university (M.sc - advantage).
At least 3 years of industry experience in the development and productization of deep learning algorithms.
At least 3 years of industry experience working on major computer vision problems.
Experience using PyTorch, MxNet, TensorFlow, or similar tools
Experience with large scale data
Comfortable within an unexplored territory, independent and self-motivated.