Atlassian
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Senior Machine Learning Engineer

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Employer Provided Salary: 126,300-202,900 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.

Working at Atlassian
Atlassians 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 Senior 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 team
The Core Machine Learning team sits within the Data Technology Insights 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.
What you'll do
As a Senior Machine Learning Engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, collaborating with business, engineering, and analytics teams, to build large scaled recommendation system 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 junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI/ML's transformative potential is realized across our offerings.
Qualifications

  • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
  • 5+ years of related industry experience in the machine learning domain
  • Expertise 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 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


It's great, but not required, if you have

  • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
  • Experience in developing recommendation systems and deep learning-based models
  • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions


Compensation
At Atlassian, we strive to design equitable, explainable, and competitive 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: $199,400 - $265,800
Zone B: $179,400 - $239,200
Zone C: $165,500 - $220,600
This 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.
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.
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 .

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What are Atlassian Perks + Benefits

Atlassian Benefits Overview

Our offices are open, highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, five paid volunteer days a year for your favorite cause, plenty of food and drinks, ergonomic workstations, employer-paid insurance coverage for you and your family, pension and more.

We're a global company and each of our office locations also has its own unique perks and benefits. Some of our benefits vary slightly by location.

Culture
Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Mean gender pay gap below 10%
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance + Wellness
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Team workouts
Mental health benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Performance bonus
Charitable contribution matching
Child Care & Parental Leave
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Company sponsored family events
Vacation + Time Off
Unlimited vacation policy
Generous PTO
Paid volunteer time
Paid holidays
Paid sick days
Office Perks
Commuter benefits
Company-sponsored outings
Free daily meals
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Onsite office parking
Pet friendly
Relocation assistance
Fitness stipend
Home-office stipend for remote employees
Onsite gym
Professional Development
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Continuing education available during work hours
Online course subscriptions available
Customized development tracks
Paid industry certifications

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