Principal Machine Learning Engineer (AI)

TL;DR

Principal Machine Learning Engineer (AI): Driving the development and implementation of cutting-edge machine learning algorithms and training sophisticated models to build AI functionalities into hirify.global products and services. Focus on designing system and model architectures, conducting rigorous experimentation, and providing guidance to emerging ML engineers.

Location: Remote

Company

hirify.global's software products help teams all over the planet and their solutions are designed for all types of work.

What you will do

• Drive the development and implementation of cutting-edge machine learning algorithms.
• Train sophisticated models.
• Collaborate with product, engineering, and analytics teams.
• Design system and model architectures.
• Conduct rigorous experimentation and model evaluations.
• Provide guidance to emerging ML engineers.

Requirements

• Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience). PhD or research degrees are desirable.
• Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
• Experience building and scaling machine learning models in business applications using large amounts of data.
• Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story.
• Focus on business practicality and the 80/20 rule.
• Agile development mindset.

Nice to have

• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.
• Experience in developing deep learning-based models and working on LLM-related applications.
• Excelling in solving ambiguous and complex problems.

Culture & Benefits

• hirify.globals can choose where they work – whether in an office, from home, or a combination of the two.
• Health and wellbeing resources.
• Paid volunteer days.