Principal Machine Learning Engineer

Atlassian; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health and wellbeing resources

Paid volunteer days

Equity

Job summary

At Atlassian, a Principal Machine Learning engineer will drive development of cutting-edge ML algorithms and model architectures. You will train, evaluate, and deploy sophisticated models while collaborating with product, engineering, and analytics teams to embed AI in Atlassian products and services.

Your role emphasizes scalable ML, MLOps, and an agile mindset, with hands-on guidance to growing ML engineers and researchers. Distributed-first hiring support is available.

Qualifications

• 10+ years of total experience in ML/DS.
• Fluency in Python.
• Solid understanding of ML concepts including supervised/unsupervised learning, deep learning, and NLP.
• Familiarity with ML libraries like scikit-learn, Keras/TensorFlow/PyTorch, NumPy, Pandas.
• Experience in architecting high-performance RESTful APIs for ML models.
• Familiarity with MLOps and scaling/deploying ML models.
• Agile development mindset and emphasis on iterative improvement.

Responsibilities

• Drive development and implementation of cutting-edge ML algorithms.
• Train sophisticated models and evaluate them rigorously.
• Collaborate with product, engineering, and analytics teams to embed AI in products and services.
• Design system and model architectures and guide ML engineers.
• Ensure AI's transformative potential is realized across Atlassian offerings.

Skills

Python fluency

ML concepts

ML libraries

RESTful API design

MLOps

Agile mindset

NLP knowledge

Tools

scikit-learn

Keras/TensorFlow/PyTorch

NumPy

Pandas

Job description

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

As a Principal Machine Learning engineer, you will drive 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 emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.

Qualifications

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

• 10+ years of total experience, 5+ years of related industry experience in the MLE / data science domain

• Fluency in Python

• Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP.

• Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas

• Good Understanding of Machine Learning project lifecycle

• Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models )

• Familiarity with MLOps and experience with scaling and deploying Machine Learning models

• 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"

• Agile development mindset, appreciating the benefit of constant iteration and improvement

It's Great, But Not Required, If You Have

• 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.

• Experience or passion on building cutting edge developer tools products with AI/ML

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

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

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

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.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.