Machine Learning Engineer

Atlassian • Seattle, WA

8d • $145,800 - $229,125 • Hybrid

About The Position

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. Your Future Team The mission of Atlassian is to unleash 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. AI/ML is significantly transforming how teams come together to plan, track, and deliver work across software and business teams using our products. We are looking for rockstar Machine learning engineers to come help us to further this mission and help make teams more productive leveraging AI across our product portfoilo. As a Machine Learning Engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training 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. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute to Atlassian Intelligence features.

Requirements

• Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
• Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL
• Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks)
• Experience building and scaling machine learning models using large amounts of data
• Agile development mindset, appreciating the benefit of 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
• 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

Responsibilities

• development and implementation of the cutting edge machine learning algorithms
• training models
• collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services
• designing system and model architectures
• conducting rigorous experimentation and model evaluations
• application of AI/ML to various product problems to improve Atlassian products and actively contribute to Atlassian Intelligence features

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees