OverviewResponsibilitiesResponsibilitiesGeneral Responsibilities: These are ongoing or overarching tasks that guide the strategic and collaborative aspects of the role:
- Problem Solving: Identify complex challenges and provide creative solutions to advance the capabilities and functionalities of the products.
- Collaboration: Work with cross-functional teams, including data scientists and software engineers. Build and maintain sustainable partnerships with team members from various technical backgrounds.
- Communication: Communicate technical details effectively to the team and engage in technical discussions to contribute ideas and solutions.
- Continuous Learning: Stay updated with the latest research and advancements in machine learning, AI, and relevant technology applications. Apply cutting-edge knowledge and techniques to enhance product innovation and effectiveness.
Daily Responsibilities: These tasks are more routine or technical, involving hands-on activities that need to be performed regularly:
- Design and Development: Design LLM based methodology and algorithms tailored to specific product needs.
- Data Handling: Perform data preprocessing and feature engineering to improve product inputs and performance.
- Evaluation: Conduct experiments to evaluate the performance of products and use a variety of metrics and testing methods to ensure the solutions meet design specifications.
- Implementation and Optimization: Implement and optimize machine learning pipelines.
- Monitoring and Maintenance the deployed intelligence solutions to ensure they continue to perform accurately and efficiently.
CompensationAt 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.
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.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay RangesIn 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: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
QualificationsMinimum Requirements
- Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
- 5+ years of tech experience in LLM, Search, Code intelligence and relevant applied science domain.
- Experience building and scaling machine learning models in business applications using large amounts of data
- Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
- Agile development mindset, appreciating the benefit of constant iteration and improvement
It's great, but not required, if you have
- 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.
Benefits & PerksAtlassian 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 
