Responsibilities:

• Setting the overall strategy and vision for the machine learning and data science initiatives in the company. Provide strategic guidance and mentorship to the data science and engineering teams.
• Hiring, training, and developing team members to foster a culture of innovation and excellence.
• Collaborating with other department heads, such as product management, engineering, and healthcare experts, to align machine learning initiatives with company-wide goals.
• Building strong relationships with stakeholders and effectively communicating the value and impact of the team s work.
• Managing the budget and resources for the machine learning and data science function. Making strategic decisions on investments in tools, technologies, and talent to support the team s objectives.
• Staying at the forefront of advancements in machine learning and healthcare AI, and actively contributing to the broader scientific community through publications, conferences, or industry events.
• Representing the company as a thought leader and building strategic partnerships with academic institutions, research organizations, or industry partners.
• Developing and optimizing complex machine learning models, such as CNNs, LSTMs, and transformers, to tackle challenging problems and enhance system performance and scalability.
• Designing and implementing machine learning models for data analysis, feature extraction, and classification tasks.
• Ensuring real-time performance and resource efficiency by implementing and validating algorithms on embedded systems.
• Working closely with hardware engineers to optimize machine learning models for specific hardware architectures and assisting in system integration.
• Conducting performance evaluations and simulations to validate model performance and identify areas for improvement.
• Collaborating with software engineers to integrate machine learning models into software frameworks.

Education and Experience

A Master s or PhD degree in Artificial Intelligence, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or a related field, or equivalent work experience.

10 years of relevant experience in machine learning and data science, with healthcare AI a plus.

Proven track record of leading and scaling high-performing data science and machine learning teams and successfully delivering complex, impactful projects.

Real-world work experience in relevant roles in a commercial setting.

Ideally, full life cycle experience with a consumer or patient product that has shipped and achieved meaningful commercial success. Preference for candidates with experience in a startup or fast-paced environment, as well as exposure to ambient sensing and sensor fusion technologies.