Base Salary
$171k - $269k/yr
Responsibilities
- Build and productionize machine learning models and AI systems for Search & Intelligence products.
- Own projects from problem definition and data development through deployment, monitoring, evaluation, and continuous improvement.
- Develop AI-native experiences involving search, retrieval, ranking, recommendations, conversational systems, and agentic workflows.
- Create evaluation-driven development processes with quality metrics, test cases, benchmarks, and acceptance criteria.
- Build evaluation datasets, regression suites, and pipelines for search, RAG, chat, and agentic systems.
- Conduct offline and online evaluations, human assessments, model-based evaluations, and error analysis.
- Design scalable architectures meeting quality, reliability, latency, privacy, and cost requirements.
- Apply information retrieval, ranking, embeddings, NLP, deep learning, and large language model techniques.
- Communicate technical decisions and results and mentor engineers.
Requirements
- Bachelor’s or master’s degree in computer science, machine learning, data science, or a related field, or equivalent experience.
- At least 4 years of experience developing and deploying machine learning or AI systems in production.
- Strong Python skills and experience with Java, Kotlin, TypeScript, or another production language.
- Experience with SQL and large-scale data processing technologies such as Spark.
- Experience building, evaluating, deploying, and scaling models with large datasets.
- Experience designing evaluation strategies, analyzing model quality, and using results to guide improvements.
- Familiarity with cloud-based machine learning and data platforms such as AWS or Databricks.
- Ability to independently solve ambiguous problems and deliver production-quality solutions.
- Preferred experience includes AI-native products, RAG systems, conversational assistants, tool-using agents, evaluation-driven development, benchmarks, regression testing, human evaluation, LLM-as-a-judge, search relevance, ranking, recommendations, personalization, embeddings, NLP, large language model optimization, ML platforms, model serving, data pipelines, observability, responsible AI, mentoring, or influencing technical direction.
Benefits
- Atlassian offers health and wellbeing resources, paid volunteer days, and other benefits and perks.
- Employees may work from an office, from home, or a combination of the two; Atlassian can hire in countries where it has a legal entity.
- The role may also be eligible for benefits, bonuses, commissions, and equity.
Tech Stack
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.