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As part of the AI Research and Deployment team, you’ll be helping make this the best place in the world to do applied AI.

𝖶𝗁𝗒 join us?

💙 Do work that matters. We’re pioneering AI technologies that help raise the standard of healthcare for millions of people every day. 

🌏 Well-funded and global, backed by world-class investors including Blackbird Ventures, Skip Capital and Horizon Ventures. Raised Australia’s largest Series B ($129m) in 2021.

🌟Work with a bunch of awesome, genuine people who are passionate about what they do.

 💻 Flexible and remote-friendly working

🚀Make a real impact. You won’t be another ‘cog in the wheel’ here. We give full trust and autonomy for you to be heard, to work on the big hairy projects – and to make a real difference.  

🌱Grow your career with us. We’re big believers in lifelong learning. You’ll be given a $1000 personal L&D budget, access to LinkedIn Learning, plus opportunities for internal mobility to fast-track your career. 

🙌 Market-leading parental support including 16 weeks gender-neutral paid parental leave and $10,000 support for egg or sperm freezing.  

🌈 Do your best work and have fun doing it with unlimited wellbeing leave, monthly meditations, inclusive team events, and lots more!

About your role

As a member of our AI Engineering team, we offer you the unique opportunity to make a direct and meaningful impact on the lives of patients and their families. At harrison.ai, improving the diagnostic ability of our machine learning models directly improves patients' quality of care. 

As a Senior Machine Learning Engineer, you will contribute to developing Medical AI products. This work will span the entire product lifecycle from early R&D efforts to writing production code, supporting clinical evidence generation, and contributing to regulatory documentation. You will work in a cross-functional team composed of AI Engineers, Software Developers, and Clinical Experts.

Model development will involve building, refining, deploying, and evaluating vision classification and segmentation models. Importantly, this role will require you to write high-quality and well-tested code used in a production system.

What you will do:

• Develop AI algorithms, data processing pipelines, prototypes and solutions for healthcare artificial intelligence using the best practices of modern machine learning;
• Design and build advanced deep learning models and computer vision models for a variety of applications and healthcare modalities;
• Evaluate and experiment with new technologies, frameworks and tools in the machine learning development process to improve performance and efficiency;
• Write high-quality well-tested code to be used in a production environment;
• Follow agile methodology and software engineering best practices, focusing on test-driven development, rapid prototyping, documentation, validation and iteration.

• Demonstrated experience working in a Machine Learning Engineering role or in a Software Development role with significant focus on machine learning technologies;
• Hands-on experience in building, deploying and testing machine learning models within a product development context using software engineering best practices;
• An ability and experience to work with advanced deep learning and computer vision models in a production environment;
• Extensive Python, and PyTorch or TensorFlow skills;
• Prior experience collaborating with a variety of stakeholders in a cross-functional environment.

• Demonstrated experiences with healthcare data and solutions;
• Commercial experience with large-scale computer vision machine learning projects.
• Cloud technology and workflow experience within the context of machine learning pipelines. 

What we’re about  

We're problem solvers, redefining what’s possible in healthcare through AI Technology. Our mission is to raise the standard of healthcare for millions of patients every day. 

Yes, we’re a technology company and yes, we’re leveraging the latest AI technologies, but people are at the heart of everything we do.  

Since 2019, harrison.ai and its ventures have scaled rapidly to 250 employees worldwide with Series funding of almost $160 million. Our AI software has helped to create more lives through IVF, as well as enabling faster, more accurate diagnosis of medical images via our joint venture annalise.ai. Soon, we’ll be helping with early cancer detection in pathology though our newest joint venture, Franklin.ai.  

And we’re just getting started. 

A role with harrison.ai means you’ll be a part of our unique joint venture model – giving you access and opportunity to do impactful work across a range of healthcare domains.  

Help us shape the future of AI in healthcare. And most importantly, help us make a real difference in people’s lives.  

What's next? 

If you’re inspired by what we're up to, please apply now and we'll be in touch soon.   

We are proud to be an Equal Opportunity Employer. Diversity’s not a buzzword here, it’s in our DNA. Diverse perspectives shape our culture and make our work better. That’s why we’re committed to building inclusive teams that represent a variety of backgrounds and skills. If you need any reasonable adjustments, accessibility assistance or would like to note which pronouns you use at any stage of our hiring process, just contact us at accommodations: people@harrison.ai. We look forward to hearing from you.

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.

We're growing quickly, so you'll need to help scale the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!

What you'll do

• Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.
• Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the overall business.
• Accelerate web experimentation through best practices, tooling and clear recommendations.
• Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.
• Collaborate with engineers, marketers & senior leadership to bring data to the forefront of our decisions.

• 5+ years of experience in analytics, data science, or other quantitative field
• Advanced proficiency in SQL
• Experience defining and auditing web instrumentation requirements and web analytics
• Experience designing and analyzing various types of web experimentation (e.g. A/B testing quasi-experimentation, rollout etc.)
• Experience collaborating with senior management and translating insights into decisions and actions
• An knack for crafting raw data and analysis into well-written content
• while maintaining the highest standard of work
• Proficiency with data visualization best practices and tools such as Tableau
• Familiarity partnering with multiple business functions. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teams
• An agile development mentality, appreciating the benefit of constant iteration and improvement

Our perks & benefits

To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.

About Atlassian

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

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 learn more about our culture and hiring process, explore our Candidate Resource Hub.

As part of the AI Research and Deployment team, you’ll be helping make this the best place in the world to do applied AI.

𝖶𝗁𝗒 join us?

💙 Do work that matters. We’re pioneering AI technologies that help raise the standard of healthcare for millions of people every day. 

🌏 Well-funded and global, backed by world-class investors including Blackbird Ventures, Skip Capital and Horizon Ventures. Raised Australia’s largest Series B ($129m) in 2021.

🌟Work with a bunch of awesome, genuine people who are passionate about what they do.

 💻 Flexible and remote-friendly working

🚀Make a real impact. You won’t be another ‘cog in the wheel’ here. We give full trust and autonomy for you to be heard, to work on the big hairy projects – and to make a real difference.  

🌱Grow your career with us. We’re big believers in lifelong learning. You’ll be given a $1000 personal L&D budget, access to LinkedIn Learning, plus opportunities for internal mobility to fast-track your career. 

🙌 Market-leading parental support including 16 weeks gender-neutral paid parental leave and $10,000 support for egg or sperm freezing.  

🌈 Do your best work and have fun doing it with unlimited wellbeing leave, monthly meditations, inclusive team events, and lots more!

About your role

As part of our AI Engineering team, we offer you the unique opportunity to make a direct and meaningful impact on the lives of patients and their families. At harrison.ai, improving the diagnostic ability of our machine learning models directly improves patients' quality of care.

As a Senior Machine Learning Engineer, you will contribute to developing Medical AI products. This work will span the entire product lifecycle from early R&D efforts to writing production code, supporting clinical evidence generation, and contributing to regulatory documentation.

Model development will involve building, refining, deploying, and evaluating vision classification and segmentation models. Importantly, this role will require you to write high-quality and well-tested code used in a production system.

You will work in a cross-functional team composed of AI Engineers, Software Developers, and Clinical Experts. We're looking for a very strong Software Developer interested in learning about AI OR a strong AI Engineer focusing on building their software development skills. Ideally, you are a results-driven person with a history of taking the initiative and a passion for learning.

What you'll do:

• Develop AI algorithms, prototypes and solutions for healthcare artificial intelligence with a focus on modern machine learning;
• Design and build advanced deep learning models and computer vision models for a variety of applications and healthcare modalities;
• Evaluate and experiment with new technologies, frameworks and tools in the machine learning development process to improve performance and efficiency;
• Write high-quality well-tested code to be used in a production environment;
• Follow agile methodology and software engineering best practices, focusing on test-driven development, rapid prototyping, validation and iteration.

• Demonstrated experience working in a Machine Learning Engineering role or a Software Development role;
• Experience building, deploying and testing Machine Learning models in a product development context using software engineering best practices;
• Extensive experience working with advanced deep learning and computer vision models in a production environment;
• Extensive experience with Python, PyTorch or TensorFlow.

• Experience with healthcare data and solutions;
• Experience with 3D Vision machine learning projects.

What we’re about  

We're problem solvers, redefining what’s possible in healthcare through AI Technology. Our mission is to raise the standard of healthcare for millions of patients every day. 

Yes, we’re a technology company and yes, we’re leveraging the latest AI technologies, but people are at the heart of everything we do.  

Since 2019, harrison.ai and its ventures have scaled rapidly to 250 employees worldwide with Series funding of almost $160 million. Our AI software has helped to create more lives through IVF, as well as enabling faster, more accurate diagnosis of medical images via our joint venture annalise.ai. Soon, we’ll be helping with early cancer detection in pathology though our newest joint venture, Franklin.ai.  

And we’re just getting started. 

A role with harrison.ai means you’ll be a part of our unique joint venture model – giving you access and opportunity to do impactful work across a range of healthcare domains.  

Help us shape the future of AI in healthcare. And most importantly, help us make a real difference in people’s lives.  

What's next? 

If you’re inspired by what we're up to, please apply now and we'll be in touch soon.   

We are proud to be an Equal Opportunity Employer. Diversity’s not a buzzword here, it’s in our DNA. Diverse perspectives shape our culture and make our work better. That’s why we’re committed to building inclusive teams that represent a variety of backgrounds and skills. If you need any reasonable adjustments, accessibility assistance or would like to note which pronouns you use at any stage of our hiring process, just contact us at accommodations: people@harrison.ai. We look forward to hearing from you.