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Machine Learning Engineer (PhD or MS in Computer Science) 756 at Protegrity
ProtegrityPalo Alto, CA·2d ago
Mid LevelFull-timePythonRustAWSMachine LearningTensorFlowPyTorchAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Protegrity is seeking a Machine Learning Engineer to join their team, focusing on securing AI workflows and building agentic tools in a collaborative environment. This role is ideal for a recent PhD or MS graduate in Computer Science with experience in GenAI.
Key Responsibilities
- →Develop and test GenAI architectures using agentic coding IDEs
- →Conduct experiments and summarize findings
- →Present research and experimental results to the team
- →Fine-tune LLMs and embedding models
- →Apply ML algorithms to large datasets
- →Process structured and unstructured data
- →Participate in architectural design and roadmap discussions
Requirements
- ✓PhD or MS in Computer Science
- ✓2+ years GenAI experience or equivalent projects
- ✓3–5 years Python experience
- ✓Experience with PyTorch, TensorFlow
- ✓Solid understanding of ML algorithms and metrics
- ✓Exposure to data security practices
- ✓Strong collaboration and learning mindset
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