Software Engineer - ML Platform

San Francisco - United States - San Francisco, California 94104 United States; Remote - Remote

Atlassian

Atlassian's team collaboration software like Jira, Confluence and Trello help teams organize, discuss, and complete shared work.

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Overview

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.

Responsibilities

About AI & ML Platform Team Our team is building the foundations to democratise Machine Learning for Atlassian’s teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them.

These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI & ML without any complications.  

Job description As a Software Engineer on the AI & ML Platform team, you will build and shape the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for product teams like Jira & Confluence to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. You will have the opportunity to drive projects from technical design to launch. You will also collaborate with other teams and internal customers to deliver outcomes. In this role, you'll get the chance to:

- Collaborate with your teammates to solve complex problems, from technical design to launch.

- Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers.

- Deliver code reviews, documentation & bug fixes within a strong engineering culture

- Partner across engineering teams to take on company-wide initiatives spanning multiple projects.

- Mentor junior members of the team. Our tech stack is primarily Java/Kotlin built on AWS.

On your first day, we’ll expect you to have

- Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).

- Interest in Machine Learning and AI

- Experience with RESTful microservices.

- Experience using cloud tools such as Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).

- Experience with Continuous Delivery and Continuous Integration. It would be great, but not required if you have - SQL knowledge, query tuning, schema design, and ETL processes.

- Experience with Databricks or Apache Spark.

- Experience with Amazon Sagemaker. 

- Experience with scaling and deploying Machine Learning models.

- Experience with using LLMs. 

Qualifications

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: $147,400 - $196,600

Zone B: $132,700 - $176,900

Zone C: $122,400 - $163,100

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. However, please confirm the zone for your specific location with your recruiter.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

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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Tags: Architecture AWS Confluence Databricks Engineering ETL Java Jira Kinesis LLMs Machine Learning Microservices ML models OOP Pipelines Python SageMaker Security Spark SQL

Perks/benefits: Career development Competitive pay Equity / stock options Health care Wellness

Regions: Remote/Anywhere North America
Country: United States

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