Applied Machine Learning Engineer, EMEA

Job summary

Responsibilities

As an Applied Machine Learning Engineer, you are the technical owner of a customer engagement. This is what is globally known as the Forward Deployed Engineer role; at Fireworks in EMEA it carries the AMLE title.

• Own Engagements: Take customer deployments from scoping through production, as the single accountable technical owner.
• Embed: Work directly inside customer teams; understand their domain, data, and constraints well enough to make decisions they trust.
• Train and Tune: Run fine-tuning and post-training work where the engagement needs it, from data to evaluation to a model serving in production.
• Optimize: Drive serving performance and cost on Fireworks: model choice, deployment shape, and inference optimization.
• Scope Honestly: Assess what is achievable before we commit, and inherit what you scope.

What they're looking for

• Spikes in two or all three areas.
• For the ML spike: formal training (PhD, PhD in progress, or a strong MSc) and experience post-training LLMs specifically.
• For the infrastructure spike: experience with GPU infrastructure, distributed serving, or inference engines.
• Founder or founding engineer experience.
• Experience in a startup or fast-paced environment.

Tech stack

• PyTorch
• Python