Join us as a Machine Learning Engineer and help bring our zero-shot discovery models from research to production. You'll bridge the gap between cutting-edge ML research and scalable, reliable systems.

Responsibilities Deploy and optimize ML models for production serving. Build robust MLOps pipelines for training, evaluation, and deployment. Optimize CUDA kernels and model inference for latency-critical applications. Implement micro-batching, caching, and quantization strategies. Collaborate with researchers to productionize novel architectures. Qualifications 3+ years of experience in ML engineering or related roles. Deep knowledge of Py Torch and deep learning fundamentals. Experience with ONNX, Tensor RT, or model quantization. Strong software engineering skills (Python, testing, CI/CD). Familiarity with distributed training and serving infrastructure. Why Solenya?

You'll work on problems that matter — making product discovery fair, fast, and intelligent. Plus, free pickl...