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Protegrity · 1 month ago

Machine Learning Engineer (PhD or MS in Computer Science) 756

Palo Alto, CA

Full-time

Hybrid

Entry, Mid Level

$189K/yr - $212K/yr

2+ years exp

Protegrity is a global leader in data security, utilizing AI and advanced cryptographic methods to protect sensitive data. The Machine Learning Engineer will focus on securing AI workflows and building innovative tools in a collaborative environment.

AnalyticsBig DataCloud SecurityCyber SecurityEnterprise SoftwarePrivacySecuritySoftware

H1B Sponsor Likely

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

Qualification

GenAI experiencePythonPyTorchTensorFlowML algorithmsData security practicesCollaboration mindset

Required

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

Benefits

Health Benefits (Health/Dental/Vision)

Paid Time Off (PTO)

401K

Annual Bonus Incentives

Short and Long Term Disability

Company

Protegrity

Glassdoor4.0

For 15+ years, Protegrity has set the standard in precision data protection, helping enterprises secure and use sensitive data

Founded in 2004

Salt Lake City, Utah, USA

201-500 employees

http://www.protegrity.com

H1B Sponsorship

Protegrity has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (1)

2024 (2)

2021 (1)

2020 (4)