What are the responsibilities and job description for the Machine Learning Engineer position at Realm?
SENIOR ML ENGINEER | BUILD GLOBAL AI NETWORKS | HYBRID SF | $300k EQUITY
My client is building a unique, globally distributed system that harnesses spare computational resources from around the world to run cutting-edge models like Llama and Mistral. We’re searching for an ML engineer excited about solving complex engineering challenges within a small, high-impact team based in San Francisco.
If you’re passionate about working on advanced distributed systems, machine learning, and resource optimization, this could be a great opportunity. The team consists of experienced engineers who thrive in a dynamic, fast-paced environment, with a focus on creativity, collaboration, and hands-on coding.
We are looking for Senior-Staff level engineers or ex-founders, who are high agency, high throughput, very technical people who WANT to be in person working on interesting problems.
Salary : $200-300k equity
Interview process : 4 stages
Location : SF (hybrid 3 days a week)
What we're looking for :
- Proficient in Typescript, Python, and at least one of Go, Rust, or C
- Deep understanding of distributed systems and their underlying principles
- Hands-on experience with container orchestration and scheduling tools, such as Kubernetes or Nomad
- Experience with large language model inference engines (e.g., vLLM, TensorRT-LLM)
- Familiarity with AI development tools (e.g., ChatGPT, Claude, Cursor) to enhance productivity and workflow
- Knowledge of GPU programming and optimization techniques (CUDA experience is advantageous)
This client can support H1B visa transfers for candidates who require it.
Tags :
Python, Typescript, Rust, Go, C , ML, Machine Learning, AI, GenAI, LLM, GPU, Inference
Salary : $200,000 - $300,000
