Machine Learning Engineer Jobs

New

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

New

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

New

Senior Machine Learning Engineer

We’re seeking a Senior Machine Learning Engineer (P50) to join our new GenAI Mod...

Location

Singapore

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Extensive experience (generally 5+ years) in ML systems engineering, backend engineering, or infrastructure roles
Strong background in one or more of: LLMs, NLP, search/retrieval, embeddings, or applied ML
Hands-on experience with at least one GenAI area: RAG pipelines, fine-tuning, hybrid retrieval, or orchestration frameworks
Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex)
Familiarity with vector databases (Weaviate, Pinecone, FAISS, etc.) and large-scale serving infra
Strong coding skills (Python, backend engineering) and ability to move fast from idea to prototype
Comfort working in fast-paced, experimental environments with evolving direction
Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent experience

Job Responsibility

Build and apply advanced GenAI models
Develop and fine-tune LLMs and embeddings for Atlassian’s unique knowledge and enterprise data
Implement retrieval-augmented generation (RAG), hybrid retrieval, and knowledge-grounded modeling approaches
Work hands-on with modern frameworks, contributing directly to high-value prototypes and experiments
Prototype and experiment quickly
Build proof-of-concept systems for GenAI-powered assistants, agentic workflows, and innovative user experiences
Run experiments, collect feedback, and iterate fast to validate impact
Design and implement evaluation methods for quality, groundedness, and user value
Collaborate and contribute
Work closely with peers across ML, engineering, and product teams to bring new ideas to life

What we offer

Health and wellbeing resources
Paid volunteer days

New

Principal Machine Learning Systems Engineer

Search Platform powers the search functionality in Atlassian products. The team ...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

10+ years experience in multiple hands-on software/technology leadership roles, with end-to-end responsibility through the software development lifecycle
Worked on scaling ML use cases for 50+ TB of data
Good understanding of PySpark and Databricks jobs scaling challenges
Experience with ML workflows and observability at scale.
Bachelor's degree with a preference for Computer Science degree
Expertise with one or more prominent languages such as Java, Python, Kotlin, Go, or TypeScript is required.
Understanding of SaaS, PaaS, IaaS industry with hands-on experience with public cloud offerings (e.g., AWS, GCP, or Azure)
Java, Spring, REST, and NoSQL databases
Experience building event-driven based on SQS, SNS, Kafka or equivalent technologies
Knowledge to evaluate trade-offs between correctness, robustness, performance, space and time

Job Responsibility

Handle complex problems in the team from technical design to launch
Determine plans-of-attack on large projects
Solve complex architecture challenges and apply architectural standards and start using them on new projects
Lead code reviews & documentation and take on complex bug fixes, especially on high-risk problems
Set the standard for meaningful code reviews
Partner across engineering teams to take on company-wide programmes in multiple projects
Transfer your depth of knowledge from your current language to excel as a Software Engineer
Mentor junior members of the team

What we offer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two
health and wellbeing resources
paid volunteer days

New

Senior Machine Learning Engineer

Rovo Chat is Atlassian’s flagship product, driving the next generation of user e...

Location

United States

Salary:

168300.00 - 264375.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
5+ years of related industry experience in the machine learning domain
Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain machine learning concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
Agile development mindset, appreciating the benefit of constant iteration and improvement

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

New

Principal Machine Learning Engineer

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

8+ Years of Experience in Data Science, Machine Learning, Generative AI or related fields
Ability to craft analysis into well-written and persuasive content
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
Familiarity with LLM or ML driven product algorithms and success metric selection and measurement

Job Responsibility

Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations
Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges, especially focussed on the fast-paced Atlassian Intelligence suite of features
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.

What we offer

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.

New

Senior Machine Learning Engineer

Atlassian is seeking a Senior Machine Learning Scientist to join our Central AI ...

Location

Canada

Salary:

161100.00 - 210325.00 CAD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
3+ years of related industry experience in the data science domain
Expertise in Python or Java with and the ability to write performant production-quality code
familiarity with SQL
knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Work on the development and implementation of the cutting edge machine learning algorithms
training sophisticated models
collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services
designing system and model architectures
conducting rigorous experimentation and model evaluations
providing guidance to junior ML engineers

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

New

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...

Location

United States

Salary:

222300.00 - 348975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
Agile development mindset, with a focus on iterative improvement and business impact

Job Responsibility

Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services

What we offer

health and wellbeing resources
paid volunteer days
benefits, bonuses, commissions, and equity

Fulltime

Machine Learning Engineer

Atlassian

Location:
Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 27, 2025

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