Amplifier Health

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🔥 AI Researcher
Posted 6 months ago

📍 United States, Canada

🔍 Healthcare

  • Master's or Ph.D. degree (preferred) in Computer Science, Electrical Engineering, or a related field.
  • Strong foundation in AI, machine learning, and deep learning.
  • Experience with voice and speech processing techniques.
  • Familiarity with audio transformer models and their applications in healthcare.
  • Proficiency in programming languages such as Python and deep learning frameworks like TensorFlow or PyTorch.
  • Excellent analytical and problem-solving skills.
  • Ability to work independently and collaboratively.
  • Develop and refine our Large Acoustic Models (LAMs), focusing on accuracy, reliability, explainability, and clinical utility.
  • Conduct research and experiments to identify new vocal biomarkers and expand the range of detectable health conditions.
  • Stay up-to-date on the latest advancements in speech processing and related fields.
  • Collaborate with the engineering team to implement and deploy AI models into our platform.
  • Analyze and interpret research data to inform product development.
  • Contribute to scientific publications and presentations to disseminate research findings.

PythonCloud ComputingData AnalysisData MiningMachine LearningPyTorchTensorflow

Posted 6 months ago
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🔥 Software Engineer
Posted 6 months ago

📍 Calgary, Alberta, Canada; San Francisco, California, United States

🔍 Healthcare technology

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • Strong proficiency in front-end technologies (e.g., React, Angular, Vue.js)
  • Strong proficiency in back-end languages (e.g., Python, Node.js).
  • Experience with API design and development (e.g., RESTful APIs).
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and databases (e.g., SQL, NoSQL).
  • Knowledge of software development best practices, including version control (e.g., Git) and testing.
  • Excellent problem-solving and debugging skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Design, develop, and maintain user interfaces for web and mobile applications.
  • Build and integrate APIs to connect front-end applications with back-end AI models.
  • Develop data visualizations and dashboards to effectively present diagnostic insights.
  • Ensure the scalability, security, and performance of the software infrastructure.
  • Collaborate with AI engineers to optimize deployment and integration of AI models.
  • Write clean, well-documented, and testable code.
  • Participate in code reviews and contribute to software design discussions.

Node.jsPythonSQLGitNosqlReactRESTful APIsData visualization

Posted 6 months ago
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📍 Canada, United States

🔍 Healthcare technology

  • Proven track record of 5+ years in business development or sales in healthcare or technology startups.
  • Experience in early-stage startup environments.
  • Familiarity with the healthcare industry and its regulatory landscape.
  • Excellent written and verbal communication skills.
  • Strong interpersonal skills for building rapport.
  • Strategic thinking abilities.
  • Strong work ethic focused on results.
  • Identify, qualify, and pursue leads within target markets such as healthcare providers and research institutions.
  • Effectively communicate the value proposition of Amplifier Health's technology.
  • Establish strategic partnerships for clinical trials and research.
  • Assist in developing the go-to-market strategy, including pricing and marketing efforts.
  • Build and maintain relationships with key stakeholders.
  • Conduct market research to identify opportunities.

Business DevelopmentRelationship managementMarket ResearchLead GenerationStrategic thinking

Posted 6 months ago
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🔥 AI Engineer
Posted 6 months ago

📍 United States, Canada

🔍 Healthcare

  • 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.
  • Collaborate with AI Researchers to implement and train Large Acoustic Models (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 AI infrastructure and tools.
  • Work closely with the software engineering team to integrate AI models into the platform.

AWSPythonGCPMachine LearningPyTorchAlgorithmsAzureData StructuresTensorflow

Posted 6 months ago
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