Staff Machine Learning Engineer
MadhiveSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare TechnologyIndustries
Requirements
Candidates should possess 5+ years of experience in machine learning engineering, AI infrastructure, or software engineering with a focus on ML deployment, along with strong proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers. They should have a deep understanding of model deployment and serving technologies, experience with MLOps tooling, and familiarity with cloud platforms and deploying AI/ML services in production environments. Strong software engineering skills, including designing scalable and maintainable ML systems, are also required.
Responsibilities
The Staff Machine Learning Engineer will design, develop, and deploy production-grade machine learning models to enhance revenue cycle management and healthcare workflows, optimize and scale ML inference pipelines for efficiency, latency, and reliability, and work with engineering teams to integrate AI solutions into cloud-based and on-prem environments. They will automate and maintain MLOps pipelines, implement monitoring and observability for ML models in production, and stay at the forefront of LLM and voice AI advancements, leveraging state-of-the-art techniques to improve the AI stack.
Skills
Python
TensorFlow
PyTorch
Hugging Face Transformers
TensorRT
Triton Inference Server
ONNX
FastAPI
Kubeflow
MLflow
SageMaker
Vertex AI
Docker
Kubernetes
AWS
GCP
Azure
ML deployment
MLOps
Model serving
Cloud platforms
Scalable ML systems
Supernal
Develops electric vertical takeoff aircraft
About Supernal
Supernal focuses on transforming urban transportation through the development of electric Vertical Takeoff and Landing (eVTOL) vehicles. These electric aircraft are designed to take off and land vertically, providing a zero-carbon and efficient transportation option for cities. Supernal targets urban planners, city governments, and private transportation companies, offering solutions to reduce ground traffic congestion and carbon emissions. Their business model includes the development, production, and operation of eVTOLs, generating revenue through sales, leasing, and support services like maintenance and fleet management. Based in Irvine, California, Supernal emphasizes safety and customer needs, with their eVTOL model, the S-A2, featuring eight tilting rotors to address engineering challenges. The company aims to set a high standard for advanced air mobility and believes in the importance of collaboration within the community to achieve success.
Washington, District of ColumbiaHeadquarters
2020Year Founded
VENTURE_UNKNOWNCompany Stage
Automotive & Transportation, Government & Public Sector, EnergyIndustries
201-500Employees