TL;DR

Senior Machine Learning Engineer (AI): Developing and implementing cutting-edge machine learning algorithms and training sophisticated models, collaborating with product, engineering, and analytics teams to build AI functionalities into %hirify_global% products and services with an accent on designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Focus on ensuring AI's transformative potential is realized across our offerings.

Location: Remote (San Francisco, Austin, Mountain View, Seattle, United States)

Salary: $202,500 - $264,375 (Zone A)

Company

%hirify_global%'s software products help teams all over the planet and solutions are designed for all types of work.

What you will do

Develop and implement 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 junior ML engineers.

Requirements

Bachelor's or Master's degree in Computer Science or equivalent experience.
3+ years of related industry experience in the data science domain.
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.
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_global%s can choose where they work – whether in an office, from home, or a combination of the two.
Wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
Offerings include health and wellbeing resources, paid volunteer days, and so much more.