Job description

As the EPM for Evaluation, you will be responsible for : 7+ years of technical program management experience, with at least 3 years leading complex AI/ML programs. Proven track record of delivering complex programs by defining clear requirements and driving engineering teams to successful outcomes. Experience influencing and driving decisions at Director/VP level. Strong ability to navigate ambiguity and lead teams through uncertainty while maintaining program momentum. Excellence in executive communication - ability to distill complex technical information with the right balance of detail. Master's or PhD in Computer Science, Machine Learning, Statistics, or related quantitative field. Deep hands-on experience with large language models (LLMs), vision-language models (VLMs), and multi-modal architectures. Demonstrated mastery of ML concepts, evaluation methodologies, and the end-to-end model development lifecycle. Experience with reinforcement learning from human feedback (RLHF) and preference optimization. Expertise in statistical analysis, A/B testing, and experimental design at scale.

Requirements

Must-haves

As the EPM for Evaluation, you will be responsible for :
7+ years of technical program management experience, with at least 3 years leading complex AI/ML programs.
Proven track record of delivering complex programs by defining clear requirements and driving engineering teams to successful outcomes.
Experience influencing and driving decisions at Director/VP level.
Strong ability to navigate ambiguity and lead teams through uncertainty while maintaining program momentum.
Excellence in executive communication - ability to distill complex technical information with the right balance of detail.
Master's or PhD in Computer Science, Machine Learning, Statistics, or related quantitative field.
Deep hands-on experience with large language models (LLMs), vision-language models (VLMs), and multi-modal architectures.
Demonstrated mastery of ML concepts, evaluation methodologies, and the end-to-end model development lifecycle.
Experience with reinforcement learning from human feedback (RLHF) and preference optimization.
Expertise in statistical analysis, A/B testing, and experimental design at scale.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimlmachine learning

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision