AI Engineer

About Amplifier Health

Amplifier Health is revolutionizing healthcare by turning the human voice into a vital sign. We're developing the world's first voice-based diagnostic platform that can detect and monitor a wide range of health conditions from speech. Our groundbreaking AI technology has the potential to transform how we diagnose and manage many diseases from Parkinson’s disease to congestive heart failure. We aim to make healthcare more accessible, affordable, and effective for everyone.

About the Role

As an AI Engineer at Amplifier Health, you'll be a key player in building and scaling our core AI technology. You'll work closely with our research team to train, optimize, and deploy our Large Acoustic Models (LAMs), ensuring they meet the highest standards of accuracy, efficiency, and scalability. This is a hands-on role for someone who's passionate about applying cutting-edge AI to real-world healthcare challenges.

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.

• 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.
• Ability to work independently and collaboratively in a fast-paced environment.
  
  

Bonus Points!

• Experience with audio and speech processing technologies.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Contributions to open-source projects, publications, hackathons, or machine learning competitions.

• Be at the forefront of building innovative AI technology that is transforming healthcare.
• Work on challenging and impactful projects with a talented and passionate team.
• Contribute to a mission-driven company that is making a real difference in the world.
• Enjoy a competitive salary and benefits package.
• Thrive in a dynamic, collaborative, and supportive work environment.

To Apply

Please send your resume and a cover letter highlighting your relevant experience and technical skills to [email protected].

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.