- 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.
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Senior Machine Learning Systems Engineer at Loom - San Francisco, United States - Trello
Description
Working at Atlassian
Atlassian acquired Loom to lead in remote first, asynchronous work. With Loom's async video expertise and Atlassian's team collaboration understanding, we aim to innovate and empower customers for richer collaboration. Join us on our mission to make the impossible possible.
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.
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 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 .
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