Machine Learning Engineer 757 at Protegrity

Palo Alto, California, United States

Protegrity Logo
$189,100 – $211,800Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Security, Artificial IntelligenceIndustries

Requirements

Candidates must possess a PhD in a mathematics-heavy technical field such as Physics, Engineering, Mathematics, or Biology. A minimum of 3-5 years of Python experience is required, along with a strong foundation in machine learning algorithms and metrics. Experience with PyTorch and TensorFlow is necessary, as is familiarity with data security concepts like encryption, masking, and tokenization. A strong curiosity and drive to become a GenAI expert are also essential qualifications.

Responsibilities

The Machine Learning Engineer will architect and implement GenAI systems, utilizing agentic coding IDEs and designing experiments to analyze and present results. Responsibilities include conducting literature reviews on agentic AI research, fine-tuning LLMs and embedding models, and applying traditional ML algorithms to large datasets. The role also involves processing legal, compliance, and user documentation datasets, and contributing to roadmap planning and product evolution for enterprise-scale security solutions.

Skills

Machine Learning
GenAI
LLMs
Embedding Models
Experiment Design
Data Analysis
Literature Review
Agentic Coding IDEs
Traditional ML Algorithms

Protegrity

Data protection solutions for enterprises

About Protegrity

Protegrity specializes in data protection for large enterprises, helping them manage data privacy, governance, and compliance. The company offers solutions such as data encryption and tokenization, which protect sensitive information by replacing it with non-sensitive equivalents. This allows organizations to use their data securely while meeting regulatory requirements. Protegrity generates revenue through service fees and subscriptions for its data protection services and consulting, where experts guide clients on enhancing their data security strategies. With the growing demand for data security due to increasing regulations and the high costs of data breaches, Protegrity is positioned to provide scalable solutions tailored to the needs of large enterprises.

Stamford, ConnecticutHeadquarters
1996Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, Consulting, CybersecurityIndustries
201-500Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Remote Work Options
401(k) Company Match

Risks

Strategic shifts under new CEO may disrupt operations or alienate clients.
Healthcare sector's rising cyber threats challenge Protegrity's data protection reputation.
Delays in sensitive data access could hinder innovation and client satisfaction.

Differentiation

Protegrity offers precision data protection across regions, providers, and applications.
The company enables secure data sharing for business transformation and compliance.
Protegrity's solutions complement zero trust methodologies for enhanced data collaboration.

Upsides

Michael Howard's appointment as CEO could drive innovation and growth for Protegrity.
Protegrity's Borderless Data Solution addresses the need for secure cross-border data flows.
Availability in Microsoft Azure Marketplace expands Protegrity's reach and customer base.

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