Machine Learning Engineer

$173,300 - $231,100/Yr

Atlassian - Seattle, WA

Full-time - Mid Level

Seattle, WA

Publishing Industries

About the position

As a Machine Learning Engineer at Atlassian, you will be responsible for developing and implementing advanced machine learning algorithms and training sophisticated models. Your role will involve collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian's products and services. You will design system and model architectures, conduct rigorous experimentation and evaluations, and provide mentorship to junior ML engineers, ensuring the transformative potential of AI is realized across the company's offerings.

Responsibilities

• Develop and implement cutting-edge machine learning algorithms.
• Train sophisticated models and ensure their integration into Atlassian products.
• Collaborate with product, engineering, and analytics teams.
• Design system and model architectures for machine learning applications.
• Conduct rigorous experimentation and model evaluations.
• Provide guidance and mentorship to junior ML engineers.

Requirements

• Master's or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research) or relevant work experience.
• 2+ years of related industry experience in the data science domain.
• Expertise in Python or Java and ability to write performant production-quality code.
• Familiarity with SQL and knowledge of Spark and cloud data environments (e.g., AWS, Databricks).
• Experience building and scaling machine learning models in business applications using large datasets.
• Ability to communicate and explain data science concepts to diverse audiences.
• Focus on business practicality and the 80/20 rule, balancing output quality with timely delivery.
• Agile development mindset, appreciating constant iteration and improvement.

Nice-to-haves

• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.
• Experience in developing deep learning-based models and working on LLM-related applications.
• Ability to solve ambiguous and complex problems and navigate uncertain situations.

Benefits

• Health coverage
• Paid volunteer days
• Wellness resources