SIGN IN
Senior Engineer jobs in United States
info-icon
This job has closed.
company-logo

Atlassian · 2 weeks ago

Senior Engineer

Atlassian is a company dedicated to unleashing the potential of every team through innovative software products. The Senior Engineer on the AI & ML Platform team will develop and refine core infrastructure to empower engineers and data scientists in creating and managing Machine Learning models and pipelines.
Enterprise SoftwareSoftwareConsultingSaaSCollaborationDeveloper ToolsManagement Consulting
check
Comp. & Benefits
check
H1B Sponsor Likelynote

Responsibilities

Collaborate with your teammates to solve complex problems, from technical design to launch
Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers
Deliver code reviews, documentation & bug fixes within a strong engineering culture
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Mentor junior members of the team

Qualification

Machine Learning infrastructureML lifecycle managementLarge-scale system designDistributed systemsMLOpsCI/CD pipelinesPythonPyTorchTensorFlowJAXGoJavaScalaAWSGCPAzureGPU computingSparkRayDaskPerformance optimization for MLGenerative AILarge Language ModelsRetrieval-Augmented Generation

Required

5+ years of experience in building Machine Learning and AI infra/platform/system
Comprehensive ML lifecycle expertise: proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring
Large-scale system design: Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning
MLOps and automation: Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models

Preferred

Proficiency with frameworks and languages: Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX. Familiarity with other languages like Go, Java, or Scala is also beneficial
Cloud infrastructure: Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs
Big data processing: Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask
Performance optimization: A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure
Generative AI systems: Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems

Benefits

Atlassians can choose where they work – whether in an office, from home, or a combination of the two.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
Our offerings include health and wellbeing resources, paid volunteer days, and so much more.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process.

Company

Atlassian

company-logo
Atlassian is a software company that offers proprietary software products for teamwork, project management, and software development.

H1B Sponsorship

Atlassian has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
81%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Marketing
Sales
Customer Service and Support
Accounting and Finance
Human Resources
Creatives and Design
Legal and Compliance
Trends of Total Sponsorships
*2026 (126)
2025 (351)
2024 (184)
2023 (190)
2022 (259)
2021 (156)
2020 (162)

Funding

Current Stage
Public Company
Total Funding
$210M
Key Investors
T. Rowe PriceAccel
2015-12-10IPO
2014-04-08Secondary Market· $150M
2010-07-14Series A· $60M

Leadership Team

leader-logo
Michael Cannon-Brookes
CEO and Co-Founder
linkedin
leader-logo
Scott Farquhar
Co-Founder and Board Member
linkedin
Company data provided by crunchbase