Machine Learning Engineer
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience. Requires PhD or equivalent experience and production ML/AI deployment expertise.
Autonomy Engineer - ML & DL Infrastructure
Builds and scales ML/DL infrastructure including data pipelines, annotation workflows, training, deployment, and monitoring for autonomous drone systems. Requires hands-on experience in data engineering, cloud ML platforms, containerization, and MLOps.
170k – 278kSan Mateo, CAML EngineeringHybrid
About the role
How You’ll Make an Impact
- Design and implement scalable, extensible, interactive data pipelines and annotation workflows
- Build tools that leverage state-of-the-art machine learning systems for efficient data exploration and curation across the fleet of Skydio drones
- Design and implement pipelines for data ingestion, versioning, model training, deployment and monitoring
- Optimize and scale deep learning training workflows to improve team iteration velocity
- Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards
What Makes You a Good Fit
- Demonstrated hands-on experience with data engineering and building large scale, performant and efficient data processing pipelines
- Demonstrated hands-on experience with cloud-based ML platforms, containerization technologies, ML Ops platforms and databases
- Experience and understanding of security and compliance requirements in ML infrastructure
- Demonstrated hands-on experience building and managing ML pipelines including data preparation, model training, model deployment and monitoring
- Demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
- Comfortable navigating and delivering within a complex codebase
- Strong communication skills and the ability to collaborate effectively at all levels of technical depth
Compensation
- Annual base salary range: $170,000 - $277,500
- Equity in the form of stock options
- Comprehensive benefits: group health insurance, paid vacation, sick leave, holiday pay, 401K savings plan
- Relocation assistance may be provided
Skills
Machine LearningDeep LearningData PipelinesMl OpsKubernetesDockerCloud PlatformsData EngineeringModel TrainingModel DeploymentData IngestionData VersioningMonitoringContainerizationDatabases
Similar roles
ML Engineering jobsAI Platform Engineer
Design, build, and maintain LLM integrations powering AI features. Own end-to-end delivery from requirements through production monitoring with focus on scalability and reliability.
Software Engineer (Applied AI)
Owns end-to-end AI systems for relationship intelligence platform, building multi-agent LLM pipelines, classical ML models for ranking/entity resolution, evals, and data infrastructure to analyze deals and conversations for enterprise revenue teams. Requires production experience shipping LLM/ML products with strong backend skills.
Research Engineer
Research Engineer building production LLM and ML systems for healthcare workflows. Requires strong ML/NLP research background with publications, production deployment experience, and proficiency in PyTorch/TensorFlow/JAX.