Position Details
About this role
Senior machine learning engineer role focused on developing and deploying AI models for identity security solutions, leveraging advanced ML techniques and frameworks.
Key Responsibilities
- Design ML models
- Implement embeddings and similarity measurement
- Translate research into production systems
- Improve model accuracy
- Collaborate with cross-functional teams
Technical Overview
Involves designing, experimenting with, and deploying ML models, including anomaly detection, semantic search, and embeddings, using Python and frameworks like PyTorch and TensorFlow, with big data tools.
Ideal Candidate
The ideal candidate is a mid-level data scientist with over 5 years of experience in machine learning, deep learning, and NLP techniques, including transformer architectures. They are proficient in Python and experienced with big data tools like Hadoop and Spark, capable of developing scalable AI solutions for complex business problems.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience, No experience with transformer-based models, Lack of proficiency in Python, No experience with Hadoop, Spark, or AWS, Unable to work in Raleigh, NC
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile