Senior Healthcare AI Innovation Specialist
1 week ago
About Amplifier Health
We are revolutionizing healthcare by developing innovative AI-powered diagnostic solutions.
Our mission-driven team is passionate about harnessing the power of artificial intelligence to make a real difference in the world.
As an AI Engineer at Amplifier Health, you'll be at the forefront of building cutting-edge AI technology that transforms healthcare. You'll work closely with our research team to train, optimize, and deploy Large Acoustic Models (LAMs), ensuring they meet the highest standards of accuracy, efficiency, and scalability.
Responsibilities
- Collaborate with AI Researchers to implement and train LAMs using large-scale datasets.
- Develop and maintain data pipelines for efficient data ingestion, processing, and augmentation.
- Optimize model training processes to improve performance and scalability while reducing computational costs.
- Implement and evaluate different model architectures and hyperparameter settings.
- Deploy trained models into production environments and monitor their performance.
- Contribute to the development of our AI infrastructure and tools.
- Work closely with our software engineering team to integrate AI models into our platform.
Benefits
- $120,000 - $180,000 per year, depending on experience.
- Competitive benefits package.
- Dynamic, collaborative, and supportive work environment.
To succeed in this role, you'll need:
- A Master's degree in Computer Science, Engineering, or a related field.
- Strong software engineering skills with proficiency in Python or other relevant languages.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Knowledge of data structures, algorithms, and software design patterns.
- Excellent problem-solving and debugging skills.
Please send your resume and a cover letter highlighting your relevant experience and technical skills to our hiring team.
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