Machine Learning Engineer, 2026 Graduate U.S.
Atlassian
Machine Learning Engineer, 2026 Graduate U.S.
Job Description
Machine Learning Engineer, 2026 Graduate U.S.
📋 Job Overview
As a Machine Learning Engineer in Atlassian's Grad++ program, you will focus on developing machine learning applications for recommendation and personalization, working on Generative AI projects, and translating business problems into technical solutions. This role offers a unique opportunity to work in a collaborative environment and implement cutting-edge machine learning techniques, including search/recommendation engines, GenAI applications, and LLM training.
📍 Location: San Francisco, United States
🏢 Category: Graduates
📅 Posted: 2025-11-24 09:38 PM
🎯 Key Responsibilities
- Focus on Machine Learning applications and ideas for recommendation and personalization
- Build machine learning models and work on Generative AI projects
- Translate business problems into technical solutions
✅ Required Qualifications
- Pursuing a masters or bachelors degree in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research, or relevant work experience)
- Experience writing software with minimal bugs in Python, Scala, or Spark
- Experience building machine learning models in academic coursework or related industry intern experience
- Currently enrolled in a full-time masters degree program and graduating by June 2026
⭐ Preferred Qualifications
- SQL experience
🛠️ Required Skills
- Python
- Scala
- Spark
- SQL
- Machine Learning
- Generative AI
- Search/recommendation engines
- LLM training
- Collaboration
- Knowledge sharing
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- San Francisco, United States
Salary
118,000 - 189,600 USD / yearly
120,000 - 180,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Scalaintermediate
- Sparkintermediate
- SQLintermediate
- Machine Learningintermediate
- Generative AIintermediate
- Search/recommendation enginesintermediate
- LLM trainingintermediate
- Collaborationintermediate
- Knowledge sharingintermediate
Required Qualifications
- Pursuing a masters or bachelors degree in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research, or relevant work experience) (experience)
- Experience writing software with minimal bugs in Python, Scala, or Spark (experience)
- Experience building machine learning models in academic coursework or related industry intern experience (experience)
- Currently enrolled in a full-time masters degree program and graduating by June 2026 (experience)
Preferred Qualifications
- SQL experience (experience)
Responsibilities
- Focus on Machine Learning applications and ideas for recommendation and personalization
- Build machine learning models and work on Generative AI projects
- Translate business problems into technical solutions
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories
Machine Learning Engineer, 2026 Graduate U.S.
Atlassian
Machine Learning Engineer, 2026 Graduate U.S.
Job Description
Machine Learning Engineer, 2026 Graduate U.S.
📋 Job Overview
As a Machine Learning Engineer in Atlassian's Grad++ program, you will focus on developing machine learning applications for recommendation and personalization, working on Generative AI projects, and translating business problems into technical solutions. This role offers a unique opportunity to work in a collaborative environment and implement cutting-edge machine learning techniques, including search/recommendation engines, GenAI applications, and LLM training.
📍 Location: San Francisco, United States
🏢 Category: Graduates
📅 Posted: 2025-11-24 09:38 PM
🎯 Key Responsibilities
- Focus on Machine Learning applications and ideas for recommendation and personalization
- Build machine learning models and work on Generative AI projects
- Translate business problems into technical solutions
✅ Required Qualifications
- Pursuing a masters or bachelors degree in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research, or relevant work experience)
- Experience writing software with minimal bugs in Python, Scala, or Spark
- Experience building machine learning models in academic coursework or related industry intern experience
- Currently enrolled in a full-time masters degree program and graduating by June 2026
⭐ Preferred Qualifications
- SQL experience
🛠️ Required Skills
- Python
- Scala
- Spark
- SQL
- Machine Learning
- Generative AI
- Search/recommendation engines
- LLM training
- Collaboration
- Knowledge sharing
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- San Francisco, United States
Salary
118,000 - 189,600 USD / yearly
120,000 - 180,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Scalaintermediate
- Sparkintermediate
- SQLintermediate
- Machine Learningintermediate
- Generative AIintermediate
- Search/recommendation enginesintermediate
- LLM trainingintermediate
- Collaborationintermediate
- Knowledge sharingintermediate
Required Qualifications
- Pursuing a masters or bachelors degree in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research, or relevant work experience) (experience)
- Experience writing software with minimal bugs in Python, Scala, or Spark (experience)
- Experience building machine learning models in academic coursework or related industry intern experience (experience)
- Currently enrolled in a full-time masters degree program and graduating by June 2026 (experience)
Preferred Qualifications
- SQL experience (experience)
Responsibilities
- Focus on Machine Learning applications and ideas for recommendation and personalization
- Build machine learning models and work on Generative AI projects
- Translate business problems into technical solutions
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories