Machine Learning System Engineer

Working at Atlassian

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.

As a 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 have the chance to own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding).

In this role, you are expected to:

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 and deploy open-source LLMs

On your first day, we’ll expect you to have:

3+ years of software engineering experience

Deep low-level systems programming (C/C++ or Rust)

with large-scale, high-concurrent production serving.

with GPU inference engines (vLLM, SGLang, Triton, TensorRT-LLM, etc.).

It would be great, but not required if you have:

1+ years of system performance optimization experience

Low-level inference optimizations: GPU kernels

Algorithmic inference optimizations: quantization, speculative decoding, distillation

Experience with testing, benchmarking, and reliability of inference services.

designing and implementing CI/CD infrastructure for inference.

Strong background in system optimizations: batching, caching, load balancing, parallelism.

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.

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.