Machine Learning Engineer

$192,600 - $267,700/Yr

Atlassian - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Publishing Industries

About the position

As an Applied Machine Learning Engineer at Atlassian, you will play a pivotal role in the development and implementation of cutting-edge machine learning algorithms that enhance our software products. Your work will involve collaborating closely with product, engineering, and analytics teams to integrate AI functionalities into Atlassian's diverse range of products and services. This position is designed for individuals who are passionate about leveraging AI to improve team productivity and collaboration across various sectors. Your daily responsibilities will encompass a wide array of tasks, including designing system and model architectures, conducting rigorous experimentation, and performing model evaluations. You will be tasked with applying AI and machine learning techniques to solve various product-related challenges, thereby actively contributing to the development of Atlassian Intelligence features. This role requires a strong foundation in machine learning principles and the ability to work with large datasets to build and scale effective models. At Atlassian, we value an agile development mindset, which emphasizes the importance of constant iteration and improvement. You will be expected to navigate complex and ambiguous problems, breaking them down into manageable components and developing innovative solutions that align with our mission to unleash the potential of every team.

Responsibilities

• Develop and implement cutting-edge machine learning algorithms.
• Collaborate with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products.
• Design system and model architectures for machine learning applications.
• Conduct rigorous experimentation and model evaluations.
• Apply AI/ML techniques to solve product-related challenges and improve Atlassian products.
• Contribute to the development of Atlassian Intelligence features.

Requirements

• Bachelor's or Master's degree in Computer Science or equivalent experience.
• Expertise in Python or Java with the ability to write performant production-quality code.
• Familiarity with SQL and knowledge of Spark and cloud data environments (e.g., AWS, Databricks) is a plus.
• Experience building and scaling machine learning models using large datasets.
• Agile development mindset with an appreciation for 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.
• Strong problem-solving skills, with the ability to navigate ambiguous and complex situations.

Benefits

• Health coverage
• Paid volunteer days
• Wellness resources
• Equity options
• Bonuses and commissions