evelyn rn

Lead ML Engineer

United States16 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Generative AI and Machine Learning Systems Design
Proven track record in leading technical teams
Extensive experience in end-to-end machine learning lifecycle

Stackforce AI infers this person is a Senior Machine Learning Manager with expertise in SaaS and AI-driven solutions.

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Skills

Core Skills

Generative AiMachine Learning Systems DesignEnd-to-end Ml LifecycleRecommendation Systems

Other Skills

Technical Leadership & MentorshipDistributed Training & Data PipelinesLarge Language Models (LLMs)Data Pipelines

Experience

16 yrs 3 mos

Total Experience

3 yrs 3 mos

Average Tenure

Current Experience

Scale ai

Senior Machine Learning Manager

Aug 2023 – May 2025 · 1 yr 9 mos · San Francisco, CA, United States

Lead the core model and system design work for the generative AI and data annotation platform.
Oversee the integration of large language models and data pipelines to ensure efficient model training and evaluation processes.
Lead cross-team technical decisions, balancing model quality, system complexity, and delivery timeline.
Manage and mentor senior engineers and researchers to successfully translate experimental research results into stable product features.

Technical Leadership & MentorshipDistributed Training & Data PipelinesEnd-to-End ML LifecycleGenerative AIRecommendation SystemsLarge Language Models (LLMs)+1

Technical Lead

Oct 2020 – Jul 2023 · 2 yrs 9 mos · San Francisco, CA, United States

Built and optimized personalized content recommendation and ranking models for feed and search scenarios
Led the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, and production deployment

End-to-End ML LifecycleRecommendation Systems

Google

Senior Machine Learning Engineer

Jul 2012 – Aug 2020 · 8 yrs 1 mo

Designed and optimized machine learning models for content relevance, ranking quality, and user engagement signals
Leveraged massive datasets and distributed training systems to improve model performance and scalability