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Senior Machine Learning Engineer

Role overview

Summary

This role focuses on advancing AI innovation across Atlassian's products by developing machine learning capabilities. You will be part of the Central AI organization, which is responsible for creating the infrastructure and models that enhance AI features and experiences throughout the company.

Qualifications

  • 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 and ability to write performant production-quality code.
  • 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.

Responsibilities

  • Develop and implement cutting-edge machine learning algorithms.
  • Train sophisticated models and conduct rigorous experimentation.
  • Collaborate with product, engineering, and analytics teams to integrate AI functionalities.
  • Provide guidance to junior ML engineers.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Collaboration
  • Creative Thinking

About the company

Atlassian logo

Atlassian

  • Software / SaaS
  • Large
  • 10,001+
We're a team of 7000+ Atlassians supporting an international group of 170,000+ customers. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned.

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Job description

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.

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.

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.

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