Machine Learning System Engineer
Seattle - United States - Seattle, Washington United States; Mountain View - United States or Remote - Mountain View, California 94041 United States; San Francisco - United States - San Francisco, California 94104 United States; Remote - Remote
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.
Atlassian is looking for a Machine Learning Engineer to become a part of our Central AI organization. This team is responsible for creating Atlassian's leading AI products, essential infrastructures, data pipelines, frameworks, models, and other capabilities that accelerate AI feature development across the entire company.
Your role and impact:
As a Machine Learning engineer, you will independently work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality for Atlassian.
Your daily responsibilities will encompass a broad spectrum of tasks such as understanding system and model architectures, conducting rigorous experimentation and model evaluations and dealing with related problems.
Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across Atlassian products and platforms.
Responsibilities
What you’ll do
As a Machine Learning Engineer, you will focus on developing and implementing state-of-the-art machine learning algorithms and training models. You will collaborate with product, engineering, and data science teams to integrate AI functionalities into Atlassian's products and services. Your daily tasks will include designing system and model architectures, conducting thorough experimentation, and evaluating models. You will apply AI/ML to address various product challenges, enhancing Atlassian products and actively contributing to Atlassian Intelligence features.
Qualifications
On the first day, we'll expect you to have
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).
Expertise in Python, Java or Kotlin with 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 It's great, but not required, if you have
It's great, but not required, if you have
End-to-end experience of integrating AI/ML capabilities in products
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Experience in independently dealing with 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
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $173,300 - $231,100
Zone B: $156,000 - $208,000
Zone C: $143,900 - $191,800
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Our perks & 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. 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, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you with the best experience possible, we can support you 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.
ApplyJob Profile
Bonuses Commissions Competitive compensation Equity Flexible work location Paid volunteer days Remote-first company Support for personal goals Virtual onboarding
Tasks- Collaborate with teams
- Collaboration
- Conduct experimentation
- Design system architectures
- Develop machine learning algorithms
- Development
- Evaluate models
- Integrate AI functionalities
- Train models
Agile Agile Development AI AI products Analytics Atlassian Atlassian Products AWS B2B B2C C Cloud Collaboration Databricks Data Pipelines Data Science Deep Learning Design Engineering Experimentation Go Impact Implementation IT Java Kotlin Learning Legal LLM LLM applications Machine Learning ML Onboarding Product Python SaaS Software Software Products Spark SQL Team Collaboration Training
Experience3 years
EducationBachelor's Bachelor's degree Computer Science Data Science Design Engineering Equivalent Equivalent experience Master Master's Master's degree Related
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9