Senior Engineer, Machine Learning

What you'll do

• Design and implement machine learning models and production pipelines.
• Build scalable training, evaluation, and deployment workflows.
• Optimize model inference for latency, throughput, and cost using quantization and batching.
• Integrate ML and LLM models into APIs, microservices, and custom runtimes.
• Design data pipelines for ingestion, preprocessing, feature engineering, and validation.
• Build and maintain model-serving infrastructure such as vLLM and ONNX.
• Benchmark and profile models across diverse workloads and hardware environments.

What we're looking for

• Must have a Bachelor's degree and 2+ years of relevant engineering experience, a Master's degree and 1+ year of experience, or a PhD.
• Strong programming skills in Python and at least one systems language such as C++, Rust, or Go (preferred).
• Solid understanding of machine learning fundamentals, transformer architectures, LLMs, and model evaluation (preferred).
• Experience with ML frameworks like PyTorch or TensorFlow (preferred).
• Experience with model deployment, serving systems, and building scalable software and APIs (preferred).
• Experience with LLMs, multimodal models, generative AI, and RAG pipelines (preferred).
• Experience with distributed computing, GPU/accelerator environments, Kubernetes, Docker, and CI/CD pipelines (preferred).
• Knowledge of model optimization, vector databases, and cost-aware system design (preferred).