TL;DR

Senior Machine Learning System Engineer (AI/ML): Developing and refining the core infrastructure that empowers software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines with an accent on solving specific challenges for product teams like curating high-quality ML datasets and fine-tuning LLMs. Focus on overcoming challenging problems and navigating complex infrastructure and architectural issues.

Location: Remote, based in the United States (Seattle, San Francisco, or Austin preferred)

Salary: $168,300 - $264,375 USD

Company

%hirify_global% is a software company motivated by unleashing the potential of every team through collaborative software products like Jira and Confluence.

What you will do

Collaborate with teammates to solve complex problems, from technical design to launch.
Deliver cutting-edge solutions that enable other %hirify_global% teams to build AI features for millions of customers.
Perform code reviews, documentation, and bug fixes within a strong engineering culture.
Partner across engineering teams to take on company-wide initiatives.
Mentor junior members of the team.

Requirements

Strong expertise in Machine Learning and software development, especially concerning ML infrastructure.
Ability to develop and refine core infrastructure for ML models and pipelines.
Experience curating high-quality ML datasets.
Experience fine-tuning open-sourced Large Language Models (LLMs) or accessing proprietary LLMs.
Ability to lead projects from technical design to launch.

Culture & Benefits

Flexible work options: office, home, or a combination of both.
Equitable, explainable, and competitive compensation programs.
Wide range of health and wellbeing resources.
Paid volunteer days.
Commitment to diversity and inclusion, with support for accommodations during recruitment.