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Principal Machine Learning Engineer

Atlassian

3.5

(8)

Bengaluru, India

Why you should apply for a job to Atlassian:

  • 75% would recommend this company to other women
  • 57% say the CEO supports gender diversity
    • Ratings are based on anonymous reviews by Fairygodboss members.
  • Atlassian supports remote work, allowing employees to choose their preferred locations for increased flexibility.
  • Atlassian fosters diversity with 9 ERGs, focusing on Women+ for career growith, inclusive culture, and community impact.
  • Up to 20 weeks in supplemental wage payment the first year following birth, adoption/fostering, or parentage via surrogacy.

    • #23228

    Position summary

    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.

    Why you should apply for a job to Atlassian:

  • 75% would recommend this company to other women
  • 57% say the CEO supports gender diversity
    • Ratings are based on anonymous reviews by Fairygodboss members.
  • Atlassian supports remote work, allowing employees to choose their preferred locations for increased flexibility.
  • Atlassian fosters diversity with 9 ERGs, focusing on Women+ for career growith, inclusive culture, and community impact.
  • Up to 20 weeks in supplemental wage payment the first year following birth, adoption/fostering, or parentage via surrogacy.