Principal Machine Learning Engineer

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Overview

As a Principal Machine Learning engineer, you will drive the development and implementation of cutting‑edge machine learning algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to build AI functionalities into each Atlassian product and service. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI’s transformative potential is realized across our offerings.

Responsibilities

Design system and model architectures.

Conduct rigorous experimentation and model evaluations.

Provide guidance to emerging ML engineers.

Ensure AI’s transformative potential is realized across our offerings.

Qualifications

Bachelor’s or Master’s degree (preferably in Computer Science or equivalent experience).

5+ years of related industry experience in the data science domain.

Expertise in Python or Java, ability to write 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; high bar for output quality, but recognize the business benefit of “having something now” vs “perfection sometime in the future.”

Agile development mindset, appreciating the benefit of constant iteration and improvement.

It’s great, but not required, if you 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, navigating uncertainty, breaking down complex challenges into manageable components, and developing innovative solutions.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Location

San Francisco, CA

Salary

$158,400 – $229,125

Referrals

Referrals increase your chances of interviewing at Atlassian by 2x.

#J-18808-Ljbffr