Proactive Intelligence, Applied Research Scientist â Agentic Systems and Generative Modeling
Proactive Intelligence, Applied Research Scientist â Agentic Systems and Generative Modeling
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Strong programming skills in Python and/or C with 3 years of experience in using these languages for machine learning (ML) modeling and applied research
- M.S. or PhD in Computer Science or a related fields such as Electrical Engineering Robotics Statistics Applied Mathematics or equivalent experience. A minimum of 3 years of experience in applied ML and/or product development.
- Fundamental knowledge of ML concepts and hands-on experience in building deep-learning systems
- Strong software engineering skills to create scalable and robust infrastructure for machine-learning data modeling and evaluation systems
- Proven ability to train and debug machine-learning systems: defining metrics and datasets performing error analysis and training models in a modern ML framework
- Familiarity with researching current ML literature and math including optimization methods and modeling techniques
- Passionate about building extraordinary autonomous systems with Generative AI
- Creative collaborative and project focused with an ability to work hands-on in multi-functional teams
- Proficiency in using ML toolkits such as PyTorch TensorFlow SkLearn etc.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
