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Lead AI Safety and Enablement Engineer at Exact Sciences | JobVerse
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Lead AI Safety and Enablement Engineer
Exact Sciences
Website
LinkedIn
Lead AI Safety and Enablement Engineer
United States
Full Time
1 week ago
$184,000 - $276,000 USD
H1B Sponsor
Apply Now
Key skills
AWS
Azure
Cloud
Google Cloud Platform
Python
AI
Artificial Intelligence
ML
GenAI
MLflow
GCP
Google Cloud
CI/CD
About this role
Role Overview
Support implementation of enterprise standards for AI safety, transparency, and reliability.
Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance.
Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines.
Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality.
Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards.
Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows.
Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices.
Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing.
Support and comply with the company’s Quality Management System policies and procedures.
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
Maintain regular and reliable attendance.
Ability to act with an inclusion mindset and model these behaviors for the organization.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
8 years of experience in software, ML systems, or platform engineering.
Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio).
Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP).
Experience developing scalable and compliant ML systems and tools.
Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis.
We are unable to sponsor or take over sponsorship of employment visas at this time.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Python
Benefits
paid time off (including days for vacation, holidays, volunteering, and personal time)
paid leave for parents and caregivers
retirement savings plan
wellness support
health benefits including medical, prescription drug, dental, and vision coverage
Apply Now
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