Develops and deploys state-of-the-art ML models for AI music generation, owning full research projects from data engineering to evaluation. Requires 5+ years training large generative models like LLMs/diffusion with distributed PyTorch.
160k – 280k/yr
On-site5+ YOEML Engineering
About the role
What You’ll Need
5+ years experience training state of the art models with distributed pytorch
Intimate familiarity of the entire stack of data engineering, designing, training and evaluating machine learning models
Track record showing independent ownership of entire research projects from start to finish
Extensive experience training large generative models from scratch (LLMs or diffusion models)
A love of music (listening, exploring, making) is a huge plus
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
160k – 185k/yr
Remote3+ YOEML Engineering
AI Engineer - Database Engineering
SnowflakeMenlo Park, CA
As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.
160k – 230k/yr
On-site5+ YOEML Engineering
Software Engineer, Cortex AI Infrastructure
SnowflakeMenlo Park, CA
Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.
160k – 225k/yr
On-site4+ YOEML Engineering
ML Infrastructure Engineer
Mach9San Francisco, CA
Builds and maintains ML infrastructure for training pipelines handling massive 3D data and real-time inference serving integrated with CAD software. Requires 3+ years experience with Python, PyTorch, ML orchestration tools, data versioning, and inference optimization.
160k – 200k/yr
On-site3+ YOEML Engineering
ML Ops Infrastructure Engineer
DeepgramCalifornia
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.