Senior Principal AI/ML Developer

178 875 - 320 650$

Work format

remote (only USA)

Work type

fulltime

Grade

senior

English

Country

Vacancy from Hirify Global, list of international tech companies
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Match & Cover letter

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Job description

Text:

TL;DR

Senior Principal AI/ML Developer (Machine Learning/eCommerce): Building scalable end-to-end ML pipelines and personalization models for Autodesk’s B2C eCommerce platforms with an accent on recommendation systems, experimentation, and data-driven customer insights. Focus on developing and deploying machine learning models, designing rigorous A/B testing frameworks, and guiding complex strategic initiatives across teams.

Location: Remote in California, USA

Salary: $178,875–$320,650 base salary per year

Company

hirify.global develops software that helps innovators design and create buildings, products, factories, and media.

What you will do

Develop and train machine learning models and algorithms for personalized hirify.global B2C eCommerce experiences.
Design, prototype, and build scalable end-to-end ML pipelines for personalization at scale.
Develop experimentation frameworks that support rapid iteration and rigorous evaluation of personalization models.
Drive data-informed work across segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights.
Partner with senior cross-functional leaders on complex strategic projects and business decisions.
Mentor junior data scientists and machine learning developers through technical planning, reviews, and implementation.

Requirements

Bachelor’s degree in data science, statistics, computer science, or a related technical field.
10 years of experience leading technical project strategy, ML design, and industry-scale ML infrastructure optimization.
7 years of experience with software product design, architecture, testing, and launches.
10+ years of hands-on experience with data mining and information retrieval.
Experience with A/B testing and experimental design, plus strong knowledge of statistics, probability, and financial modeling.
Ability to translate data insights into business impact.

Nice to have

MS or PhD in a quantitative discipline.
15+ years of experience designing, developing, and deploying machine learning systems, ideally in eCommerce.
Hands-on experience with AWS or Azure machine learning platforms and MLOps best practices.

Culture & Benefits

Work within the GET Applied AI organization on data-driven digital and eCommerce experiences.
Health and financial benefits, time away, and wellness programs are available for U.S.-based employees.
Compensation may also include annual cash bonuses, stock grants, and comprehensive benefits.
In-person onboarding or identity verification may be required.

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