Atlassian, Gdańsk, PL
Overview
Finding the right customer evidence
A useful answer starts with relevant evidence. You will help us improve how we retrieve feedback for a product question, balancing fast interactive search with deeper analysis in background workflows. This includes evaluating how we prepare and chunk data, choose embeddings, retrieve candidates and rerank results.
Discovering meaningful themes at scale
Customers need to understand recurring and emerging needs across many feedback items. You will help us combine clustering, retrieval and language-model synthesis to identify well-supported themes, preserve differences between customer segments and avoid duplicate or weak conclusions. You will also investigate how to refresh this analysis efficiently as new feedback arrives.
Making suggestions more useful over time
AI can suggest tags, populate fields and connect feedback, insights and product ideas. You will help us use customer acceptance, rejection and edits to evaluate and improve these suggestions. The challenge is to learn from imperfect signals without reinforcing bias or repeatedly presenting suggestions customers have already dismissed.
What success would look like
Your initial focus would be agreed with the team. A proposed starting point is finding relevant customer evidence, because it supports the quality of downstream answers and insights.
The role offers the opportunity to shape both customer-facing AI capabilities and the evaluation practices behind them, starting with Feedback and identifying useful opportunities for reuse across Product Collection.
We are looking for someone who combines applied ML judgement with strong software engineering. You should be comfortable working through ambiguous product problems and explaining what the evidence supports, what remains uncertain and what to try next.
You do not need experience in every area below. These are opportunities to bring additional depth to the team.
Help product teams turn customer feedback into better product decisions.
We are building AI capabilities for the Feedback app within Product Collection, helping customers find relevant evidence, discover meaningful themes, and receive useful suggestions and shape their roadmap in Jira Product Discovery.
As the first ML engineer on the team, you will establish the ML foundations of a new data product within the fast-growing Product Collection. You will have clear product direction and autonomy to experiment, make technical decisions, and ship improvements, working with product engineers, product management, and design.
You will build on Atlassian’s shared infrastructure and expertise, with the opportunity to help shape and grow the ML team as the product develops.
Our customers bring varied datasets, terminology, and ways of working. The challenge is to deliver trustworthy results with minimal setup, while keeping response times and processing costs practical.
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.
At 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.
This role may also be eligible for benefits, bonuses, commissions, and equity.
In Poland, for this role, our current base pay range for new hires is:
Poland: 296.100 zł - 386.575 zł
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.
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, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support 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.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
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Source: the Atlassian iCIMS careers site. We last checked this job 2 h ago. We first saw it 2 h ago. A job on a job board does not always mean that the team interviews people now.
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