Principal Machine Learning Engineer
OverviewWorking at AtlassianAtlassians have flexibility in 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.
Atlassian is looking for a Principal Machine Learning Engineer to join our Core Machine Learning team based in Mountain View, CA.
The Core Machine Learning team builds and deploys ML modeling solutions to drive revenue generation, expand our active user base and enhance internal productivity and efficiency.
This is accomplished by driving the complete end-to-end ML development cycle.
This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially recommendation systems, and tackle challenging and distinctive problems.
Your future teamThe Core Machine Learning team sits within the Data Insights Technology group in the Atlassian Corporate Engineering Organization.
The team is tasked with pursuing machine learning opportunities that generate revenue or MAU improvements or enhance internal operational efficiencies.
We work cross-functionally across stakeholders in Growth, GTM, Product, and internal teams, providing machine learning infrastructure and modeling applications.
Our team consists of ML engineers and system engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth.
We are highly nimble, with a focus on velocity between conceptualization and initial output, and laser-focused on business impact.
ResponsibilitiesAs a Principal Machine Learning Engineer, you will drive the development and implementation of the cutting-edge machine learning algorithms, collaborating with business, engineering, and analytics teams, to build large-scale recommendation systems to recommend the best content, notifications and actions to our customers.
Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers.
Your role is pivotal, stretching beyond these tasks, ensuring AI/ML's transformative potential is realized across our offerings.
QualificationsMaster or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)8
years of related industry experience in the machine learning domainExpertise in Python 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 dataAbility to communicate and explain data science concepts to diverse audiences, craft a compelling storyFocus 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 futureAgile development mindset, appreciating the benefit of constant iteration and improvementIt's great, but not required, if you haveExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience in developing recommendation systems and deep learning-based modelsExcelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutionsCompensationAt Atlassian, we strive to design equitable and explainable compensation programs.
To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline.
Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones.
For this role, our current base pay ranges for new hires in each zone are:
Zone A:
$229,300 - $305,700Zone B:
$206,300 - $275,100Zone C:
$190,300 - $253,700This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.
atlassian.
com/payzones for more information on which locations are included in each of our geographic pay zones.
However, please confirm the zone for your specific location with your recruiter.
#LI-RemoteAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community.
Our offerings include health coverage, paid volunteer days, wellness resources, and so much more.
Visit go.
atlassian.
com/perksandbenefitsto learn more.
About AtlassianAt 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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
To learn more about our culture and hiring process, visit go.
atlassian.
com/crh.
Job SummaryCategory:
Analytics & Data Science.
Estimated Salary: $20 to $28 per hour based on qualifications.
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.
Atlassian is looking for a Principal Machine Learning Engineer to join our Core Machine Learning team based in Mountain View, CA.
The Core Machine Learning team builds and deploys ML modeling solutions to drive revenue generation, expand our active user base and enhance internal productivity and efficiency.
This is accomplished by driving the complete end-to-end ML development cycle.
This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially recommendation systems, and tackle challenging and distinctive problems.
Your future teamThe Core Machine Learning team sits within the Data Insights Technology group in the Atlassian Corporate Engineering Organization.
The team is tasked with pursuing machine learning opportunities that generate revenue or MAU improvements or enhance internal operational efficiencies.
We work cross-functionally across stakeholders in Growth, GTM, Product, and internal teams, providing machine learning infrastructure and modeling applications.
Our team consists of ML engineers and system engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth.
We are highly nimble, with a focus on velocity between conceptualization and initial output, and laser-focused on business impact.
ResponsibilitiesAs a Principal Machine Learning Engineer, you will drive the development and implementation of the cutting-edge machine learning algorithms, collaborating with business, engineering, and analytics teams, to build large-scale recommendation systems to recommend the best content, notifications and actions to our customers.
Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers.
Your role is pivotal, stretching beyond these tasks, ensuring AI/ML's transformative potential is realized across our offerings.
QualificationsMaster or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)8
years of related industry experience in the machine learning domainExpertise in Python 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 dataAbility to communicate and explain data science concepts to diverse audiences, craft a compelling storyFocus 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 futureAgile development mindset, appreciating the benefit of constant iteration and improvementIt's great, but not required, if you haveExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience in developing recommendation systems and deep learning-based modelsExcelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutionsCompensationAt Atlassian, we strive to design equitable and explainable compensation programs.
To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline.
Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones.
For this role, our current base pay ranges for new hires in each zone are:
Zone A:
$229,300 - $305,700Zone B:
$206,300 - $275,100Zone C:
$190,300 - $253,700This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.
atlassian.
com/payzones for more information on which locations are included in each of our geographic pay zones.
However, please confirm the zone for your specific location with your recruiter.
#LI-RemoteAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community.
Our offerings include health coverage, paid volunteer days, wellness resources, and so much more.
Visit go.
atlassian.
com/perksandbenefitsto learn more.
About AtlassianAt 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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
To learn more about our culture and hiring process, visit go.
atlassian.
com/crh.
Job SummaryCategory:
Analytics & Data Science.
Estimated Salary: $20 to $28 per hour based on qualifications.
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