Machine Learning Systems Engineer
About this role
Inception is building the world’s fastest, most efficient AI models. As a Machine Learning Systems Engineer on the ML Systems team, you’ll design and operate distributed infrastructure powering diffusion-based LLMs like Mercury, enabling production deployments at enterprise scale. Your work will directly impact how Fortune 500 companies access fast, cost-effective AI.
What youll do
- Design, implement, and optimize distributed ML serving systems for diffusion-based LLMs at scale.
- Deploy and maintain large-scale diffusion LLMs for enterprise customers.
- Profile and optimize latency and throughput to maximize parallel generation benefits.
- Collaborate with ML researchers, software engineers, and product teams to bring production-ready diffusion models to customers.
- Develop and maintain reliable deployment processes and tooling for model lifecycles.
What Inception is looking for
- 2+ years of experience in ML Systems Engineering or similar roles.
- Experience with distributed systems and cloud platforms (AWS, GCP, or Azure).
- Proficiency in Python and a systems programming language (C++, Rust, or Go).
- Experience with ML serving frameworks (vLLM, TensorRT, ONNX Runtime).
- Familiarity with distributed training techniques (data parallel, model parallel, pipeline parallel).
- Experience building and optimizing high-performance model serving systems.
- Experience with GPU programming and high-performance computing (CUDA).
- Experience with MLOps practices and tooling.
- Strong CS fundamentals; degree in Computer Science, Engineering, or related field (or equivalent) preferred.
Company at a glance
Inception is an AI company that pioneered diffusion-based technology for language models, launching Mercury, the world's first commercial diffusion LLM, in early 2025. The company is deploying large-scale diffusion models at Fortune 500 companies, establishing itself as a leader in next-generation AI infrastructure.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
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