Description

You will develop and implement machine learning systems, researching new techniques and engineering features in collaboration with cross-functional teams.

This role is on-site.

Responsibilities

• Research and innovate on new machine learning techniques.
• Develop and implement ML solutions and features.
• Collaborate with engineering teams to transfer and deploy technology.
• Experiment with deep learning algorithms and models.

Required Skills

• 5+ years of professional software engineering experience.
• Master's degree in Computer Science or a related field.
• Strong proficiency in Python and C++.
• Experience with major deep learning frameworks: PyTorch and TensorFlow.
• Solid understanding of ML foundations, including linear algebra and statistics.
• Proficiency with Git version control and Unix/Linux environments.
• Familiarity with Docker containerization.
• Experience with cloud platforms: AWS, GCP, or Azure.

Preferred Skills

• Experience deploying ML in large-scale, distributed environments.
• Understanding of MLOps practices.
• Background in computer vision or generative AI.

Key Skills

Education

Master's degree