Senior Machine Learning Systems Engineer

About the Position

We are seeking a Senior Machine Learning Systems Engineer to optimize large-scale model serving systems at Atlassian.

About the Central AI Org

Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future.

About the AI & ML Platform Team

Our team’s goal is to build the foundations to democratize AI and Machine Learning for Atlassian’s teams, customers, and ecosystem. We aim to build productive, reliable tools that empower Atlassian teams to harness AI.

Responsibilities

As a Senior ML System Engineer on the AI & ML Platform’s Inference team, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding).

• Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache).
• Optimize latency and throughput of model inference under real production workloads.
• Build reliable, high-concurrency serving systems that serve billions of requests reliably.
• Benchmark, fine-tune, and accelerate inference engines.
• Create robust CI/CD infrastructure for seamless model deployment and inference engine updates.
• Partner with senior ML engineers to fine-tune open-source LLMs and deploy.

Requirements

• 5+ years of software engineering experience, 2+ years of system performance optimization experience.
• Deep low-level systems programming (C/C++ or Rust).
• Experience with large-scale, high-concurrent production serving.
• Experience with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.).
• Strong background in system optimizations: batching, caching, load balancing, parallelism.

Nice to Have

• Low-level inference optimizations: GPU kernels.
• Algorithmic inference optimizations: quantization, speculative decoding, distillation.
• Experience with testing, benchmarking, and reliability of inference services.
• Experience designing and implementing CI/CD infrastructure for inference.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. The base pay range for this role in the United States is:

Zone A: $206,100 - $269,075

Zone B: $185,490 - $242,168

Zone C: $171,063 - $223,332

This role may also be eligible for benefits, bonuses, commissions, and equity.

We Offer

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 learn more, visit go.atlassian.com/perksandbenefits.

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.

To learn more about our culture and hiring process, visit go.atlassian.com/crh. In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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