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Machine Learning Engineer (Master or Bachelor Degree)

Protegrity is looking for a Machine Learning Engineer (MS or BS Required)

 

Location: Menlo Park, CA (In-office, Mon–Thu)

 

The global data privacy software market is projected to grow from $2.36 billion in 2022 to $25.85 billion by 2029. Join us on this journey and make an impact with one of the top 25 global software providers. We look forward to making our world become a better place with you on our team!

 

About the Role:

This role is ideal for MS or BS graduates in technical, math-heavy fields (Physics, Engineering, Mathematics, Biology) transitioning from academia to industry.

 

You’ll join our GenAI team to secure AI infrastructure and develop agentic security solutions for enterprise-scale deployments.

 

Responsibilities:

Architect and implement GenAI systems using agentic coding IDEs (e.g., GitHub Co-Pilot)

Design and run experiments; analyze and present results.

Conduct literature reviews and deep dives on agentic AI research.

Fine-tune LLMs and embedding models.

Apply traditional ML algorithms to large datasets.

Process legal, compliance, and user documentation datasets.

Contribute to roadmap planning and product evolution.

 

Qualifications:

Master's or Bachelor degree in a mathematics-heavy technical field.

3+ years Python experience.

Strong foundation in ML algorithms and metrics.

Experience with PyTorch, TensorFlow.

Familiarity with data security (encryption, masking, tokenization.)

Curiosity and drive to become a GenAI expert.

 

Why Choose Protegrity:

Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation.

Competitive Compensation/Total Reward Packages that include:

Health Benefits (Health/Dental/Vision)

Paid Time Off (PTO)

401K

Annual Bonus Incentives

Short and Long Term Disability

Work on global projects with diverse, energetic, team members who respect each other and celebrate differences

Talent First Workforce

 

Should you accept this position, you will be required to consent to and successfully complete a background investigation. This may include, subject to local laws, verification of extended education and additional criminal and civil checks.