Principal Machine Learning Engineer

Reposted 12 Days Ago
Be an Early Applicant
Hiring Remotely in Bengaluru, Bengaluru Urban, Karnataka
In-Office or Remote
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian provides tools to help every team unleash their full potential.
The Role
The role involves tackling complex problems using ML, collaborating with cross-functional teams, delivering data-driven solutions, and mentoring juniors.
Summary Generated by Built In
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.
  • Regularly tackle the largest and most complex problems in the team, from technical design to launch.
  • Work closely with Product, Engineering and Design leads in Jira AI, and translate their requirements into solid engineering deliverables, delegating work to the teams.
  • Deliver solutions that are used by other teams and products.
  • Follow a Product Engineer mindset by building features that are data-driven and customer-centric, fostering that culture within the Jira AI group.
  • Exceptional problem solving ability using ML, AI and core software engineering.Routinely tackle complex architecture challenges and define architectural standards.
  • Actively contribute to the code delivery through leading code reviews & documentation, direct contribution and fixing complex bugs in high-risk surface areas.
  • Expertise in data analysis, statistical methods, and logical reasoning to inform data-driven decision-making.
  • Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
  • Mentor junior members on the team.

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).
  • Understanding of Machine Learning project lifecycle/tools along with prompt engineering.
  • Experience in architecting and implementing high-performance RESTful microservices.
  • Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).
  • Experience with leveraging LLMs effectively and optimizing model usage on GPUs.
  • Experience with Databricks or Apache Spark.
  • Experience with Continuous Delivery and Continuous Integration.

It would be great, but not required:
  • Expert-level SQL knowledge, query tuning, schema design, and ETL processes.
  • Experience with Amazon Sagemaker.
  • Experience with scaling and deploying Machine Learning models.

Top Skills

Spark
AWS
Databricks
Java
Kotlin
Python

What the Team is Saying

Tiffany
Gautam
Tygrr
Ashleigh
Jensen
Javier
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The Company
HQ: San Francisco, CA
11,000 Employees
Year Founded: 2012

What We Do

Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.

Why Work With Us

At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.

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Employees work remotely.

Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.

Typical time on-site: None
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