Senior Manager, Data Science and Machine Learning (AI)

TL;DR

Senior Manager, Data Science and Machine Learning (AI): Leading and influencing across R&D to deliver innovative machine learning solutions using vast restaurant, payments, and orders data with an accent on driving business value across product lines. Focus on shaping the vision of hirify.global’s ML Platform, coaching data scientists and ML engineers, and expanding the AI product portfolio.

Location: Remote, United States

Salary: $200,000–$320,000 USD

Company

hirify.global creates technology to help restaurants and local businesses succeed in a digital world, aiding operations, sales, customer engagement, and employee satisfaction.

What you will do

• Lead and influence across R&D to drive business value for hirify.global and its restaurant customers.
• Collaborate closely with product and engineering stakeholders to drive strategic direction for hirify.global’s AI-enabled products.
• Shape and execute the vision of the ML Platform at hirify.global with Data Science, ML Engineering, and Platform teams.
• Break down larger ML initiatives into smaller problems to deliver incremental business value.
• Coach and mentor data scientists and ML engineers for successful career growth.
• Help to build out and expand hirify.global’s AI product portfolio.

Requirements

• Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or equivalent with 5+ years of experience leading Data Science & ML Engineering teams.
• Prior success deploying machine learning solutions in large-scale production environments.
• Strong knowledge of underlying mathematical foundations of statistics and machine learning.
• Demonstrated excellence in a relevant AI/ML discipline (CV, NLP), including experience with ML model building using Scikit, Tensorflow, and PyTorch.
• Knowledge of fundamentals of machine learning, such as algorithm families, AB testing, hypothesis testing, and optimization.
• Strong communication skills, demonstrated through documentation and presentations to inform business decisions.

Nice to have

• Problem solver who loves to dig into different kinds of data and can communicate findings to cross-functional stakeholders.
• Passion for research and curiosity to go beyond “good enough” for innovation.

Culture & Benefits

• Competitive compensation and benefits programs.
• Opportunity to learn new AI tools to build faster, more independently, and with higher quality.
• Hybrid work model that fosters in-person collaboration while valuing individual needs.
• Commitment to creating an accessible and inclusive hiring process.

Hiring process

• AI tools support recruiters and interviewers with tasks like note-taking and summarization.
• All hiring decisions are made by people.