Manager-Applied Sciences/Machine Learning (AI)

TL;DR

Manager-Applied Sciences/Machine Learning (AI): Leading the Core Recommendation and Content Generation team, shaping the future of content services at hirify.global with an accent on LLMs and NLP. Focus on guiding teams building state-of-the-art AI systems and delivering scalable solutions that improve user interaction with content across hirify.global platforms.

Location: Must work from the office at least four days per week if living within a 50-mile commute of a designated hirify.global office in the U.S.

Salary: USD $163,000 – $296,400 per year (USD $220,800 – $331,200 per year in the San Francisco Bay area and New York City metropolitan area)

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Lead and grow a team of Applied Scientists and Machine Learning Engineers, including hiring, coaching, and developing talent.
• Define technical vision and strategy for recommendation systems, Artificial Intelligence Generated Content (AIGC), and LLM-powered content generation.
• Drive end-to-end execution across multiple initiatives, from ideation and design to production and iteration.
• Oversee system architecture and scalability, ensuring robust, efficient, and high-quality ML solutions in production.
• Partner cross-functionally with product, engineering, and leadership teams to align on priorities and deliver customer impact.
• Champion innovation in AIGC applications, ranking, and recommendation algorithms.

Requirements

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience OR equivalent experience.
• 3+ years of people management experience.
• Solid hands-on background in machine learning, including LLMs, NLP, or recommendation systems.
• Proven track record of delivering large-scale, production-grade ML systems.
• Proficiency in programming languages such as C/C++, C#, Java, and/or Python.

Nice to have

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience OR equivalent experience.
• 8+ years of industry experience in software engineering and/or machine learning, with prior experience leading teams or technical leadership roles.
• Experience leading or owning critical projects in recommendation systems or AIGC scenarios.
• Solid expertise in deep learning frameworks such as TensorFlow or PyTorch.
• Experience with LLM fine-tuning, evaluation, and real-world product deployment.

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.