89 Learning Management jobs in Singapore

This position will start off as about 6 months contract.

Location:

Civil Service College, next to Buona Vista MRT

Responsibilities:

• Migrate content from the existing LEARN DC system to the new platform, ensuring accuracy and completeness of the transferred content and data.
• Collaborate with the technical team to ensure a smooth transition and troubleshoot any migration issues that may arise.
• Provide level 1 support to stakeholders, assisting them in troubleshooting technical issues related to content development on the new platform.
• Communicate effectively with clients to understand their needs and provide timely and effective solutions.
• Deliver any other duties to support the team in its transition effort as and when the need arises.

Working Hour:

Monday to Thursday: 8.30am to 6pm, Friday: 8.30am to 5.30pm

Salary:

$2650

Thank you

Toh Kim Leng (Glendon)

Cornerstone Global Partners

EA: 19C9859

Reg no: R

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Direct message the job poster from The Coffee Bean & Tea Leaf
People Partner | Building People Capability | Enabling Growth | The Coffee Bean & Tea Leaf Global HQ | ex WeWork
Our Blend
The Coffee Bean & Tea Leaf is one of the world’s largest independent and privately-owned specialty coffee and tea retailers. In 1963 we opened our very first store, and today we have over 1200 cafes in 25 countries, as well as our Global Headquarters in Singapore.
The Coffee Bean & Tea Leaf is on an inspiring journey to become the world’s coffee and tea brand. We are united by our passion for connecting people through the daily rituals of coffee and tea—viewing every cup as an opportunity to impact someone’s day.
Our Brew Crew is a diverse team of hard-working optimists with a passion for learning about our craft, the people we serve, and the world around us. We offer the tools, the environment, and the support for you to make your unique contribution and grow as a person.
Passion is contagious, and we’ve got a serious case of it. If you are just as passionate as we are, come join our Brew Crew!
Our Global Brew Crew is seeking Talent Management & Learning Manager.
You are responsible for leading talent management, organisational development, and learning initiatives across the company. This includes overseeing workforce planning, succession planning, performance management, and capability development. You will partner with business leaders and HR to drive strategic talent initiatives, support organisational transformation, and enable business growth.
Additionally, you will also manage corporate learning programmes, develop targeted development interventions, and ensure alignment with operational and global standards.
Key Responsibilities
In this role, you will:
Lead CBTL-wide talent review, succession planning, workforce planning, and performance calibration processes.
Partner with leaders and HR Business Partners to design and continuously improve the performance management framework, ensuring it aligns with capability priorities, talent identification, and rewards decisions.
Identify and develop high-potential talent through career pathing, leadership development, succession plans, and targeted capability programmes.
Drive organisation design and transformation initiatives, partnering with business leaders to evolve structures, capabilities, and ways of working that support strategic goals.
Lead change management initiatives that enable successful implementation of organisational changes, growth priorities, and new business models.
Partner with Jollibee Talent and OLC teams to align on talent frameworks, governance, capability priorities, and strategic workforce plans.
Drive strategic talent initiatives including internal mobility, talent mapping, and future skills planning.
Define capability priorities and design learning interventions that enable business growth and future-readiness.
Oversee corporate learning programmes and ensure adoption and relevant content curation on the global learning platform.
Partner with JGU to participate in and implement global corporate development journeys within CBTL.
Partner with functional leaders to deliver targeted development programmes aligned to business needs.
Act as the primary point-of-contact for learning and training requests from international markets.
Oversee foundational training for Global Support Center employees (e.g., Barista Training) and ensure alignment with operational standards.
Qualifications
Bachelor’s degree in Human Resources, Organizational Development, Business Administration, or a related field; Master’s degree preferred.
6–8 years of experience in HR, talent management, learning & development, or organizational development, ideally in a multinational or matrix environment.
Experience leading talent review, succession planning, workforce planning, performance management, and organizational change initiatives.
Strong knowledge of capability development, leadership programs, and learning strategies.
Proven ability to partner with senior leaders and cross-functional teams to drive HR initiatives.
Excellent communication, stakeholder management, and influencing skills.
Ability to manage multiple initiatives simultaneously and deliver results in a fast-paced environment.
Familiarity with global HR frameworks and learning platforms is a plus.
Performance & Rewards
At The Coffee Bean & Tea Leaf, we embrace a high-performance culture that rewards and encourages our values of teamwork, ownership, and respect for one another.
We believe in the fundamental truths that guide us through our daily lives:
F RIENDLINESS - We go above and beyond in everything we do. Friendliness and customer-centricity is embedded in our culture.
R ESPECT - We are inclusive and honour each other’s values, opinions and diversity.
O WNERSHIP - We take ownership and accountability for our individual, team and business results, every day.
T EAMWORK - As a team, we collaborate, innovate, and leverage our diverse strengths to grow the business.
H ONESTY - We live up to the highest levels of integrity by being truthful and transparent with each other, the business and ourselves.
At The Coffee Bean & Tea Leaf, we are a global company committed to representing the neighborhoods we serve. We welcome all to apply to our Brew Crew and we value the impact of diversity on our culture and in our work.
#J-18808-Ljbffr

Overview
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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Responsibilities
About Atlassian
Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.

Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity.

About Central AI Org
Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:

• Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.
• Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.
• Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem.

About AI & ML Platform Team
Our team's goal is to build the foundations to democratize AI and Machine Learning for Atlassian's teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences.

Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications.

About This Role
As a
Machine Learning System Engineer
on the AI & ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines.

You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high-quality ML datasets, fine-tuning open-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development expertise will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues.

This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results.

In This Role, You'll Get The Chance To

• Collaborate with your teammates to solve complex problems, from technical design to launch.
• Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers.
• Deliver code reviews, documentation & bug fixes within a strong engineering culture
• Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
• Mentor junior members of the team.

On your first day, we'll expect you to have

• Extensive experience in building Machine Learning and AI infra/platform/system (generally 3+ years)
• Comprehensive ML lifecycle expertise: proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring.
• Large-scale system design: Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning.
• Proficiency with frameworks and languages: Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX. Familiarity with other languages like Go, Java, or Scala is also beneficial.
• MLOps and automation: Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.

It would be great, but not required if you have

• Cloud infrastructure: Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs.
• Big data processing: Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask.
• Performance optimization: A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure.
• Generative AI systems: Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems.

Qualifications
Benefits & Perks
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. To learn more, visit

.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit

.

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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
About Atlassian
Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity.
About Central AI Org
Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:
Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.
Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.
Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem.
About AI & ML Platform Team
Our team’s goal is to build the foundations to democratize AI and Machine Learning for Atlassian’s teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences.
Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications.
About This Role
As a
Machine Learning System Engineer
on the AI & ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines.
You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high-quality ML datasets, fine-tuning open-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development expertise will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues.
This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results.
In this role, you'll get the chance to:
Collaborate with your teammates to solve complex problems, from technical design to launch.
Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers.
Deliver code reviews, documentation & bug fixes within a strong engineering culture
Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
Mentor junior members of the team.
On your first day, we’ll expect you to have
Extensive experience in building Machine Learning and AI infra/platform/system (generally 3+ years)
Comprehensive ML lifecycle expertise : proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring.
Large-scale system design:
Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning.
Proficiency with frameworks and languages:
Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX. Familiarity with other languages like Go, Java, or Scala is also beneficial.
MLOps and automation:
Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.
It would be great, but not required if you have
Cloud infrastructure:
Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs.
Big data processing:
Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask.
Performance optimization:
A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure.
Generative AI systems:
Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems.
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. To learn more, visit
go.atlassian.com/perksandbenefits
.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
Don’t see an exact role match? No problem! Join our Talent Community and stay up-to-date on company and careers updates relevant to your career.
#J-18808-Ljbffr

• Lead, supervise, and manage all aspects of BMS works including design, engineering, material selection, fabrication, and site execution.
• Review and validate BMS system architecture, control logic, network configuration, and interface requirements with other systems (e.g., M&E, Fire Protection, Security, SCADA, and Plant Control Systems).
• Coordinate with consultants, clients, contractors, and vendors to ensure alignment with project specifications, authority requirements, and industry standards .
• Manage the preparation, submission, and approval of shop drawings, material submittals, method statements, and testing procedures .
• Oversee installation, testing, and commissioning (T&C) works to achieve project milestones and handover schedules.
• Ensure proper integration of BMS with subsystems (HVAC, electrical, lighting, lifts, fire alarm, access control, and environmental monitoring systems).
• Provide technical support and troubleshooting during construction, commissioning, and defect liability periods.
• Monitor project cost, schedule, and quality performance , ensuring compliance with contractual obligations.
• Manage a team of BMS engineers, supervisors, and subcontractors, including work allocation, progress monitoring, and performance review .
• Enforce workplace safety and quality assurance standards during site execution.
  Report project progress, risks, and issues to senior management and stakeholders.

• Education:
  
  Degree in Electrical / Electronics / Instrumentation / Building Services Engineering or equivalent.

Relevant professional certifications (e.g., PMP, BCA Specialist Registration, LEED, Energy Management) will be advantageous.
- Experience:

Minimum 10 years of experience in BMS works, with at least 5 years in a managerial capacity overseeing large-scale infrastructure or industrial projects.

Proven track record in design, procurement, installation, testing, and commissioning of BMS systems in complex projects (preferably power plants, incineration plants, data centers, airports, or large industrial facilities).

Strong knowledge of BMS software platforms (e.g., Siemens, Schneider, Honeywell, Johnson Controls) and industry communication protocols (e.g., BACnet, Modbus, OPC, LonWorks).

Experience in system integration and interfacing with SCADA, EMS, and other plant systems .
- Skills & Competencies:

Excellent project management, coordination, and stakeholder management skills .

Strong technical knowledge in M&E systems, automation, instrumentation, and control systems.

Good understanding of Singapore codes, regulations, and authority submission processes (e.g., BCA, EMA, NEA, SCDF).

Strong leadership and team management abilities.

Analytical, problem-solving, and decision-making skills.

Excellent written and verbal communication skills in English.
- Willingness to work at Tuas area with transportation pickup at designated MRT station.

We are looking for a detail-oriented and proactive WMS Analyst to join our IT and Supply Chain team. In this role, you will act as the functional expert for warehouse applications, ensuring smooth operations, driving enhancements and supporting digital transformation initiatives across logistics processes.

Key Responsibilities

• Serve as the functional expert for Warehouse Management Systems (WMS) and related logistics applications.
• Support system implementation, upgrades, and enhancements within WMS, PowerApps and in-house logistics systems.
• Oversee end-to-end warehouse processes, including Goods Receive Notes (GRN), inventory returns and delivery orders.
• Partner with business users to gather requirements, troubleshoot issues and optimize workflows.
• Collaborate with IT, operations, warehouse, and retail teams to ensure seamless process integration.
• Assist in system testing, documentation, and user training for new features and enhancements.
• Identify and recommend automation or process improvement opportunities using PowerApps or e-Forms (no coding required).
• Maintain strong system knowledge and act as subject matter expert (SME) for warehouse applications.

Requirements

• Diploma/Degree in Supply Chain, IT, or related discipline.
• 2–4 years of experience in logistics, warehouse, or supply chain IT support.
• Hands-on experience with WMS (essential).
• Familiarity with PowerApps or low-code tools preferred.
• Strong understanding of logistics operations and process flow.
• Excellent analytical, problem-solving, and communication skills.
• Fast learner, proactive, and eager to drive system improvements.

Please send your detailed resume in MS Word format to with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

Overview:

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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

At Atlassian, we're on a mission to unleash the potential of every team. As part of that mission, we're investing deeply in Generative AI — pioneering advanced modeling and rapid innovations that accelerate how teams work, discover, and create.

We're seeking a Senior Machine Learning Systems Engineer (P50) to join our new GenAI Modeling & Innovation Forge in Singapore. You'll focus on building and scaling the systems that power advanced GenAI modeling, rapid prototyping, and applied research—bridging cutting-edge algorithms with reliable, high-performance infrastructure.

Responsibilities:

Design and Build ML Systems

• Architect and implement scalable systems for training, fine-tuning, and serving large language models and embeddings.
• Build efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data.
• Develop tools and infra to support rapid experimentation, evaluation, and deployment of prototypes.

• Enable Rapid Prototyping & Applied Research

• Partner with applied scientists to bring new ideas to life in robust, production-ready pipelines.

• Build proof-of-concept (POC) systems and evolve them into reliable, scalable services.
• Optimize latency, throughput, and resource efficiency for GenAI workloads.

Collaborate Across Disciplines

• Work closely with ML engineers, backend developers, and product teams to ship end-to-end innovations.
• Contribute to best practices in model deployment, monitoring, and evaluation.
• Help establish the Forge as a global hub for GenAI systems innovation.

Qualifications:

Experience

• Extensive experience in ML/AI Engineering (generally 5+ years) with experience in delivery production systems or impactful prototypes.
• Strong track record of building and scaling ML-powered services in production.
• Experience with large-scale model training, inference pipelines, or search/retrieval systems.

Skills

• Proficiency in backend systems and ML frameworks (Python, PyTorch, TensorFlow, Hugging Face).
• Experience with vector databases (Weaviate, Pinecone, FAISS), orchestration frameworks (LangChain, LlamaIndex).
• Strong coding skills and ability to optimize systems for performance and reliability.
• Familiarity with cloud environments (AWS, GCP, Azure) and container/orchestration tools (Kubernetes, Docker).

Education

• Bachelor's or Master's in Computer Science, Machine Learning, or related field—or equivalent industry experience.

• Background in distributed systems, high-performance computing, or GPU optimization.
• Familiarity with search/GenAI evaluation metrics (e.g., NDCG, groundedness, latency benchmarks).
• Experience with monitoring, observability, and reliability practices for ML systems.
• Contributions to open-source infra or ML systems frameworks.

• Be part of the founding team of Atlassian's Singapore-based GenAI Modeling & Innovation Forge.
• Shape the systems backbone for high-impact GenAI innovations.
• Collaborate with world-class teams, rich product data, and robust infra to deliver next-gen AI capabilities.
• Join a mission-driven, remote-first company where innovation, reliability, and scale go hand in hand.

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. To learn more, visit

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit

Overview
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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Responsibilities
About Atlassian
Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.

Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity.

About Central AI Org
Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:

• Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.
• Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.
• Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem.

About AI & ML Platform Team
Our team's goal is to build the foundations to democratize AI and Machine Learning for Atlassian's teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences.

Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications.

About This Role
As a
Principal Machine Learning System Engineer
on the AI & ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines.

You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high-quality ML datasets, fine-tuning open-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development expertise will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues.

This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results.

In This Role, You'll Get The Chance To

• Collaborate with your teammates to solve complex problems, from technical design to launch.
• Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers.
• Deliver code reviews, documentation & bug fixes within a strong engineering culture
• Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
• Mentor junior members of the team.

On your first day, we'll expect you to have

• Extensive experience in building Machine Learning and AI infra/platform/system (generally 5+ years)
• Comprehensive ML lifecycle expertise: proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring.
• MLOps and automation: Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.
• Large-scale system design: Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning.
• Proficiency with frameworks and languages: Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX. Familiarity with other languages like Go, Java, or Scala is also beneficial.

It would be great, but not required if you have

• Cloud infrastructure: Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs.
• Big data processing: Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask.
• Performance optimization: A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure.
• Generative AI systems: Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems.

Qualifications
Benefits & Perks
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. To learn more, visit

.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit

.

Principal Machine Learning System Engineer
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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
About Atlassian
Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity.
About Central AI Org
Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:
Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.
Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.
Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem.
About AI & ML Platform Team
Our team’s goal is to build the foundations to democratize AI and Machine Learning for Atlassian’s teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences.
Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications.
About This Role
As a
Principal Machine Learning System Engineer
on the AI & ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines.
You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high-quality ML datasets, fine-tuning open-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development expertise will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues.
This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results.
In this role, you'll get the chance to:
Collaborate with your teammates to solve complex problems, from technical design to launch.
Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers.
Deliver code reviews, documentation & bug fixes within a strong engineering culture
Partner across engineering teams to take on company-wide initiatives spanning multiple projects.
Mentor junior members of the team.
On your first day, we’ll expect you to have
Extensive experience in building Machine Learning and AI infra/platform/system (generally 5+ years)
Comprehensive ML lifecycle expertise : proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring.
MLOps and automation : Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.
Large-scale system design : Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning.
Proficiency with frameworks and languages : Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX. Familiarity with other languages like Go, Java, or Scala is also beneficial.
It would be great, but not required if you have
Cloud infrastructure : Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs.
Big data processing : Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask.
Performance optimization : A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure.
Generative AI systems : Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems.
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. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
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