Atlassian
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Senior Machine Learning Systems Engineer at Loom

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Employer Provided Salary: $146,300-$234,900 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.

This is a remote position. To help our teams work together effectively, this role requires you to be located in the US.
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.
Your future team
Loom is the video communication platform for async work that helps companies communicate better at scale. The Media & Intelligence Team lives at the heart of Loom's product development, providing a set of libraries, services, platforms, and APIs used across our systems to power recording, playback, editing, and advanced AI features.
We are seeking an experienced systems engineer to architect, implement, and optimize ML systems and contribute to the success of AI initiatives. You will report to the Senior EM of this team and collaborate with Engineering, Product, Data, Design and UXR teams.

  • Maintain the stability and performance of existing systems.
  • Contribute to the design and implementation of new machine learning infrastructure pipelines to help deploy modern AI applications.
  • Stay abreast of industry trends and emerging technologies to inform infrastructure development strategies.
  • Implement optimization strategies to enhance the efficiency of existing infrastructure.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Collaborate with data engineers to build scalable and efficient data pipelines for training and testing.
  • Collaborate with cross-functional teams to ensure seamless integration of machine learning models into the infrastructure and contribute to the overall success of AI initiatives.
  • Create and maintain comprehensive documentation.


  • Bachelor's or advanced degree in Computer Science, Engineering, or a related field.
  • 4+ years of proven experience with building and scaling cloud systems.
  • Proficiency in programming languages such as Java, C++, JavaScript or Python.
  • Strong understanding of cloud platforms, containerization, and orchestration tools (e.g., Docker, Kubernetes).
  • Solid knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in deploying machine learning models in production environments.
  • Experience with cloud-based machine learning services (e.g. AWS SageMaker, GCP AI Platform, Azure Machine Learning Studio) is a big plus.
  • Previous experience designing and implementing machine learning pipelines.
  • Experience handling and processing large-scale datasets, including the design and optimization of data processing workflows.
  • Obsessive about deeply understanding how systems work.


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.
Our perks & benefits
Atlassian 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/perksandbenefits to learn more.
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 Benefits
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 Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Company sponsored family events
Vacation & Time Off Benefits
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 Benefits
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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