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Applied AI Research Scientist

  • Vancouver, BC, Canada

Full-time

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Job details

Job type
Full-time
Apply by
Experience
2+ years of experience in engineering roles with a focus on deep learning development, time-series analysis, and signal processing.
Posting language
English
Posted

Original job description

Zepp Health (NYSE: ZEPP) is on a mission to empower individuals to lead their healthiest lives by optimizing their wellness journeys with intelligent wellness tools. The company's portfolio includes consumer brands such as Amazfit, Zepp Clarity, and Zepp Aura.

Powered by its proprietary Zepp Digital Health Management Platform, which includes the Zepp OS, AI chips, biometric sensors, and data algorithms, it delivers cloud-based 24/7 actionable insights and guidance to help users attain their wellness goals.

Zepp Health is a dynamic force in the industry, with over 200 million units shipped and products available in more than 90 countries. Established in 2013, the company has a presence across the Americas, EMEA, and APAC regions.

Zepp Health AI Canada is located in Vancouver, BC, and offers flexibility for some remote work in North America.

About the role:

This is a full-time hybrid role, implying that the role is located in Vancouver, BC, but some work-from-home is acceptable.

As an AI and deep learning Engineer specializing in time-series analysis and signal processing at Zepp Health, you will be responsible for creating and implementing advanced machine learning and signal processing algorithms that work with biometric sensors for healthcare and wellness devices.

You will collaborate closely with product managers, and firmware and software engineers to design and integrate innovative deep learning-based solutions into our current and future products.

Qualifications:

  • 2+ years of experience in engineering roles with a focus on deep learning development, time-series analysis, and signal processing.
  • PhD or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
  • Proficiency in programming languages such as Python, with experience in building and deploying deep learning models.
  • Strong understanding of time series analysis techniques and their application to time-series data.
  • Experience working with health and wellness data, and biometric sensor data.
  • Track record of delivering innovative solutions utilizing deep learning for time-series analysis in real-world applications.
  • Excellent communication skills, ability to collaborate effectively with cross-functional teams, and adaptability in a fast-paced environment.
  • Candidates with more experience may be considered for a senior-level role.

Benefits of Working At Zepp Health:

  • Competitive salary, Vacation day, sick day and a remote-friendly culture
  • Health insurance, Vision insurance, Dental insurance, life insurance
  • RRSP Matching
  • Year-end Bonus pay
  • Continuous training and support.
  • Excellent career progression as the company grows.
  • Other Benefits

If you share Zepp Health's mission of empowering individuals with intelligent wellness tools, and you are passionate about leveraging cutting-edge deep learning techniques for time-series analysis to drive innovation in healthcare technology, then apply now to join our team!

Zepp Health is committed to diversity and inclusion and is an Equal Opportunity Employer. We encourage applications from all qualified individuals and provide accommodations throughout the recruitment process. This job description provides a comprehensive outline for a Senior AI Engineer specializing in sports, offering an exciting opportunity to contribute to innovative health and fitness technology at Zepp Health. If you need reasonable accommodation at any point in the application or interview process, please let us know. In your application, please feel free to note which pronouns you use (for example: she/her/hers, he/him/his, they/them/theirs, etc).

More about this job

Responsibilities

Develop and implement machine learning, deep learning, and signal-processing algorithms for biometric sensors used in healthcare and wellness devices. Collaborate with product managers and firmware and software engineers to design and integrate deep learning solutions into current and future products.

Requirements

Requires at least two years of engineering experience focused on deep learning development, time-series analysis, and signal processing, along with a master's or doctoral degree in a relevant field. Candidates should be proficient in Python, have experience with deep learning models and biometric health data, and demonstrate real-world delivery, communication, and collaboration skills.

Skills

  • Deep Learning
  • Time-Series Analysis
  • Signal Processing
  • Machine Learning
  • Python
  • Model Building and Deployment
  • Biometric Sensor Data
  • Health and Wellness Data
  • Cross-Functional Collaboration
  • Communication

Benefits

  • Competitive Salary
  • Vacation Days
  • Sick Days
  • Remote-Friendly Culture
  • Health Insurance
  • Vision Insurance
  • Dental Insurance
  • Life Insurance
  • RRSP Matching
  • Year-End Bonus
  • Continuous Training and Support
  • Career Progression

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Engineering
  • Science & Research
  • Healthcare
  • Data & Analytics

Keywords

  • Deep Learning
  • Machine Learning
  • Time-Series Analysis
  • Signal Processing
  • Python
  • Biometric Sensors
  • Biometric Data
  • Health Data
  • Wellness Data
  • Healthcare Technology
  • Wellness Devices
  • Deep Learning Models
  • Model Deployment
  • AI
  • Firmware
  • Software Engineering
  • Zepp OS
  • AI Chips
  • Data Algorithms
  • Digital Health Management Platform

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