Senior Machine Learning Systems Engineer at Loom

Remote -
Full time
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I.T., digital & online media services
5,001-10,000 employees
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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.

  • 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.


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 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 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