Senior Machine Learning Engineer

Atlassian; San Francisco (CA); Remote; USD 165,000 - 266,000; Full time

Job summary

Join a forward-thinking company as a Senior Machine Learning Scientist, where you will drive AI innovation across products and services. This exciting role offers the opportunity to design and implement cutting-edge machine learning algorithms, collaborate with diverse teams, and ensure AI's transformative potential is realized. With a focus on flexibility, Atlassian supports a distributed-first work environment, allowing you to choose how and where you work best. Contribute to a culture that values collaboration and innovation while being part of a team that shapes the future of technology. This is your chance to make a significant impact in a dynamic and inclusive organization.

Benefits

Flexible Work Hours

Health Benefits

Equity Options

Bonuses

Remote Work Support

Qualifications

• 3+ years in data science with expertise in Python or Java.
• Experience in building and scaling machine learning models.

Responsibilities

• Develop and implement machine learning algorithms and models.
• Collaborate with teams to integrate AI functionalities.

Skills

Python

Java

SQL

Spark

Cloud Data Environments (AWS, Databricks)

Machine Learning Algorithms

Data Science Concepts

Agile Development

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Machine Learning Frameworks

Data Pipeline Tools

Job description

Engineering | San Francisco, United States | Remote, Remote

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. This flexibility allows Atlassians to better support 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, as part of being a distributed-first company.

Position Overview

Atlassian is seeking a Senior Machine Learning Scientist to join our Central AI team located in Bellevue, WA. 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 set up an Atlassian AI infrastructure for the future.

While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. 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 cutting-edge machine learning algorithms, training sophisticated models, and collaborating 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 junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.

Your background

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

1. Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
2. 3+ years of related industry experience in the data science domain
3. Expertise in Python or Java with the ability to write performant production-quality code, familiarity with SQL, and knowledge of Spark and cloud data environments (e.g., AWS, Databricks)
4. Experience building and scaling machine learning models in business applications using large amounts of data
5. Ability to communicate and explain data science concepts to diverse audiences, crafting a compelling story
6. Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
7. Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have:

1. Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
2. Experience in developing deep learning-based models and working on LLM-related applications
3. 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 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: $199,400 - $265,800
• Zone B: $179,400 - $239,200
• Zone C: $165,500 - $220,600

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

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.