Machine Learning Engineer

Machine Learning Systems Engineer

As a Machine Learning Systems Engineer on the AI & ML Platform team, you will bu...

Location

United States

Salary:

145800.00 - 229125.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin)
Understanding and experience with Machine Learning project lifecycle and tools
Understanding of LLMs, best deployment practices and inference optimisation
Experience in building and implementing high-performance RESTful micro-services
Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking)
Experience with Continuous Delivery and Continuous Integration

Job Responsibility

Build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
Build systems for product teams like Jira & Confluence to provide access to curated LLMs
Use software development expertise to solve difficult problems, tackling infrastructure and architecture challenges
Lead engineers to drive involved projects from technical design to launch
Collaborate with other teams and internal customers to set expectations, gather input and communicate results
Regularly tackle complex problems in the team, from technical design to launch
Routinely tackle complex architecture challenges and defines coding standards & patterns for the team
Lead the team through times of ambiguity, help them adapt and deliver positive impact
Mentor junior members on the team

What we offer

Health coverage
Paid volunteer days
Wellness resources
Bonuses
Commissions
Equity

Fulltime

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

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

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

Location

Canada

Salary:

130500.00 - 170375.00 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 and wellbeing resources
paid volunteer days

Fulltime

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

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

Principal Machine Learning Engineer

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python)
Understanding of Machine Learning project lifecycle/tools along with prompt engineering
Experience in architecting and implementing high-performance RESTful microservices
Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking)
Experience with leveraging LLMs effectively and optimizing model usage on GPUs
Experience with Databricks or Apache Spark
Experience with Continuous Delivery and Continuous Integration

Job Responsibility

Regularly tackle the largest and most complex problems in the team, from technical design to launch
Work closely with Product, Engineering and Design leads in Jira AI, and translate their requirements into solid engineering deliverables, delegating work to the teams
Deliver solutions that are used by other teams and products
Follow a Product Engineer mindset by building features that are data-driven and customer-centric, fostering that culture within the Jira AI group
Exceptional problem solving ability using ML, AI and core software engineering
Routinely tackle complex architecture challenges and define architectural standards
Actively contribute to the code delivery through leading code reviews & documentation, direct contribution and fixing complex bugs in high-risk surface areas
Expertise in data analysis, statistical methods, and logical reasoning to inform data-driven decision-making
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Mentor junior members on the team

What we offer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two
Atlassians have more control over supporting their family, personal goals, and other priorities

Senior Machine Learning Engineer

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the des...

Location

Slovakia , Bratislava

Salary:

4500.00 EUR / Month

Bloomreach

Expiration Date

Until further notice

Requirements

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
Ideally at least 5 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment
Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials
Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery
Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers)
Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure)
Effective communication skill in English, both verbally and in written form

Job Responsibility

Design, develop, and enhance ML/AI models which mainly power Search and Recommendation
Process historical data, search queries, product catalog, and images to extract hidden relations and features
Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences

What we offer

Restricted stock units
Company performance bonus
Great deal of freedom and trust
Flexible working hours
Virtual-first work with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Personal development workshops
Communication coach available

Fulltime

Machine Learning Engineer - AWS

Plusnet

Location:
United Kingdom , Bristol

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 10, 2026

Expiration:
January 16, 2026

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