Designs, develops, and deploys scalable ML systems and backend infrastructure for healthcare applications, translating LLM research into production while handling large-scale clinical data. Requires 3+ years ML backend experience, 5+ years software development, and backend languages like Python.
160k – 200k/yr
Hybrid3+ YOEML Engineering
About the role
Responsibilities
Architect efficient, secure, reliable, and performant ML pipelines and infrastructure.
Design, develop, and maintain scalable/data-centric backend infrastructure for our product.
Translate start-of-the-art LLM research into production.
Work with complex, large-scale, real-world clinical data in a cloud-based environment.
Develop methods and features to ensure high-quality results for production models (drift detection, observability tooling).
Collaborate with product, engineering, and research teams to improve products and build next-generation ML for healthcare.
Build scalable infrastructure for model development and deployment pipelines, CI/CD, testing/experimentation.
Ensure robust monitoring, logging, and error handling for deployed systems.
Stay updated on latest advancements in machine learning and AI.
Requirements
3+ years of experience in building ML-native backend infrastructure.
5-7+ years of experience in backend and cloud platform software development.
Fluency in one or more backend programming languages including Python, Golang, Rust, Java.
Familiarity with modern ML/LLM techniques and frameworks.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
Experience in 0-to-1 development of end-to-end ML systems (design, training, inference, deployment, monitoring; bonus for LLMs).
Experience developing and maintaining performant, scalable, data-centric enterprise software products.
Strong problem-solving skills and attention to detail.
Excellent communication skills.
Compensation
Expected range: $160,000-200,000, plus stock options (dependent on experience, fit, and location).
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.