Machine Learning Engineer, 2026 Graduate Job at Atlassian (Sydney)

Machine Learning Engineer

Join Atlassian as a graduate and have an impact on how millions of users collabo...

Location

Australia; New Zealand , Sydney; Auckland

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Must be currently enrolled in a full-time degree program (Masters degree preferred) and returning to the program after the completion of the internship, graduating by January 2026
Have experience writing software with minimal bugs in Python or Java
Have experience with SQL (Bonus!)

Job Responsibility

Focus on AI/ML applications and ideas for new generative AI experiences
Build / fine-tune machine learning models to assess AI response quality and create new experiences
Can translate business problems into technical solutions

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Machine Learning Engineer

At Atlassian, our machine learning teams tackle business and product challenges ...

Location

Canada , Vancouver; Burnaby; Richmond

Salary:

101700.00 - 132775.00 CAD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Currently enrolled full time in a Masters Degree program in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research) and are graduating by June 2026
Experience writing software with minimal bugs in Python, Scala, or Spark
SQL experience a bonus
Experience building machine learning models in academic coursework or related industry intern experience

Job Responsibility

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

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Machine Learning Engineer

Atlassian’s Grad++ program combines hands-on technical training, professional gr...

Location

United States , San Francisco or Seattle

Salary:

118000.00 - 189600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

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
SQL experience a bonus
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

Job Responsibility

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

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

AI/ML Graduate Engineering Intern

At Sigma, we’re not just adding AI—we’re building the future of how people work ...

Location

United States , San Francisco

Salary:

70.00 - 90.00 USD / Hour

Sigma Computing

Expiration Date

Until further notice

Requirements

Current student enrolled in a university graduate degree program in the U.S with a graduation date of December 2026 or later
Able to intern in person in our San Francisco office from May/June 2026 through August or early September 2026
Legally authorized to work in the US during the Summer 2026 program
Current Graduate student studying AI/ML or CS with a focus in AI at a U.S. accredited university
Solid knowledge of machine learning, deep learning, and applied AI
Baseline understanding of building and deploying production-grade AI/ML systems
Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
A track record of building —whether it’s recommendations, search, machine translation, or something equally complex that demonstrates your domain knowledge

Job Responsibility

Work alongside and learn from our growing AI/ML team
Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities and support the usage of AI in our product and internal development processes
Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
Contribute to the development of an AI/ML infrastructure that powers both internal tooling and customer-facing features
Tackle novel UX problems at the intersection of AI, BI, and apps

What we offer

Relocation assistance will be provided for students who will need to relocate for the Summer in the form of a relocation bonus
Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

New

Summer 2026 Machine Learning Engineering Internship

This is a 11-week paid learning experience during which you'll be able to connec...

Location

United States , Atlanta; Bellevue

Salary:

20.00 - 40.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

Experience building or experimenting with real-world ML systems, not just models
Exposure to LLMs or applied AI tools (prompting, RAG, fine-tuning)
Participation in research, hackathons, or open-source ML projects
At least 18 years of age
Legally authorized to work in the United States
Must be actively enrolled in a Bachelors or Graduate degree program
Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
Employer does not sponsor work visas for this position. Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education.

Job Responsibility

Build and maintain scalable ML training and inference pipelines, APIs, and service integrations
Develop and optimize model serving and inference workflows, focusing on performance, latency, and scalability
Implement MLOps best practices, including model versioning, CI/CD workflows, and drift detection
Convert research ideas and prototypes into production-ready machine learning systems

What we offer

Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location

Fulltime

New

Quantitative Systematic Trader

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative ...

Location

United States , Bala Cynwyd (Philadelphia Area), Pennsylvania

Salary:

Not provided

Susquehanna International Group

Expiration Date

Until further notice

Requirements

Masters graduating by Summer 2026 in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
Clear communicators in a fast-paced and highly collaborative environment
Programmers comfortable processing and analyzing large data sets in Python
experience with C++ (or another low-level language) is a plus
Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition

Job Responsibility

Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior
Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up
Oversee the deployment and real-time operation of trading strategies, fine-tune parameters, and respond to anomalies as needed
Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
Work in an open environment that allows you to collaborate with researchers and technologists to build parts of the execution engine

What we offer

Visa sponsorship is available for this position

Fulltime

New

Quantitative Systematic Trader

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative ...

Location

United States , Bala Cynwyd (Philadelphia Area), Pennsylvania

Salary:

Not provided

Susquehanna International Group

Expiration Date

Until further notice

Requirements

PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
Clear communicators in a fast-paced and highly collaborative environment
Programmers comfortable processing and analyzing large data sets in Python
experience with C++ (or another low-level language) is a plus
Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition

Job Responsibility

Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior
Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up
Oversee the deployment and real-time operation of trading strategies, fine-tune parameters, and respond to anomalies as needed
Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
Work in an open environment that allows you to collaborate with researchers and technologists to build parts of the execution engine

What we offer

Visa sponsorship is available for this position

Fulltime

New

Quantitative Systematic Trader

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative ...

Location

United States , New York

Salary:

300000.00 USD / Year

Susquehanna International Group

Expiration Date

Until further notice

Requirements

PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
Clear communicators in a fast-paced and highly collaborative environment
Programmers comfortable processing and analyzing large data sets in Python
experience with C++ (or another low-level language) is a plus
Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition

Job Responsibility

Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior
Blend quantitative signals with trading intuition and live market insights to optimize existing strategies or build new ones from the ground up
Oversee the deployment and real-time operation of trading strategies, fine-tune parameters, and respond to anomalies as needed
Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
Work in an open environment that allows you to collaborate with researchers and technologists to build parts of the execution engine

What we offer

Visa sponsorship is available for this position

Fulltime

Machine Learning Engineer, 2026 Graduate

Atlassian

Location:
Australia , Sydney

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 20, 2025

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