Senior 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.

Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is seeking a Senior Machine Learning Engineer to join our Central AI

team.

The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.

Your future team

The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.

Responsibilities

What you’ll do

As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services.

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 junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.

Qualifications

On the first day, we'll expect you to have

Bachelor's or Master's degree (preferably a Computer Science degree or

equivalent experience)

3+ years of related industry experience in the data science domain

Expertise in Python or Java with and 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

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, being able to

navigate through uncertain situations, breaking down complex challenges

into manageable components and developing innovative solutions

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.

In the United States, we have three geographic pay zones. For this role, our current base

pay ranges for new hires in each zone are:

Zone A: $206,100 - $269,075

Zone B: $185,490 - $242,168

Zone C: $171,063 - $223,332

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more information on which

locations are included in each of our geographic pay zones.

Please visit go.atlassian.com/perksandbenefits to learn more more our perks and benefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or

adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.