Multiple employees collaborating on work
Atlassian Logo

Atlassian

Senior Machine Learning Engineer

Reposted 59 Minutes Ago
In-Office or Remote
Hiring Remotely in Seattle, WA
171K-269K Annually
Senior level
In-Office or Remote
Hiring Remotely in Seattle, WA
171K-269K Annually
Senior level
The job description content is missing. Based on the title, this role involves senior-level machine learning engineering. Atlassian offers flexible work arrangements, location-based compensation, benefits, bonuses, commissions, and equity.
The summary above was generated by AI
Engineering | Seattle, United States | Remote, Remote
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.
[[INSERT JOB DESCRIPTION HERE]]
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.
Please visit

Similar Jobs at Atlassian

2 Days Ago
In-Office or Remote
IN, USA
171K-269K Annually
Senior level
171K-269K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and deploy machine learning and LLM capabilities for agentic search, query understanding, search planning, and retrieval. Build evaluation datasets, improve model behavior through experimentation and fine-tuning, and optimize quality, latency, cost, and reliability. Collaborate across search, product, infrastructure, and AI teams while owning projects through production and mentoring engineers.
Top Skills: AWSDatabricksInformation RetrievalLarge Language Models (Llms)Machine LearningNatural Language Processing (Nlp)PythonRetrieval-Augmented Generation (Rag)Search RelevanceSpark
2 Days Ago
In-Office or Remote
171K-269K Annually
Senior level
171K-269K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and operate scalable machine learning systems for personalized recommendations, growth journeys, cross-product expansion, and sales experiences. Design models, datasets, features, evaluation frameworks, and decisioning services; run offline policy evaluations and online experiments; and monitor attribution, latency, quality, and fairness. Partner with product, engineering, data science, analytics, marketing, and sales teams to turn ambiguous growth opportunities into measurable production capabilities and strategic ML initiatives.
Top Skills: SparkAWSDatabricksJavaPythonSQLTypescript
2 Days Ago
In-Office or Remote
IN, USA
171K-269K Annually
Senior level
171K-269K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and optimization of production machine learning systems for search, recommendations, personalization, NLP, deep learning, and AI applications. Own projects across the full ML lifecycle, design scalable architectures and evaluation strategies, collaborate with product and engineering teams, translate research into reliable systems, and mentor other engineers.
Top Skills: SparkAWSData ScienceDatabricksDeep LearningJavaKotlinLarge Language ModelsMachine LearningNatural Language ProcessingPythonSQLTypescript

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account