Lead Machine Learning Engineer

at  Doublepoint

Company
Doublepoint creates cutting-edge interaction technology for next-generation UI’s in Augmented Reality and general consumer electronics. Our smartwatch algorithms detect subtle hand gestures and need to be accurate, responsive, low power, and generalizable across populations all while only utilizing the the sensors built into the smartwatches themselves.
The Role
We are seeking a Lead Machine Learning Engineer to spearhead our ML team. This role requires a blend of technical leadership, hands-on coding, and a deep understanding of machine learning, especially in the realm of signal processing, specifically, live time series classification from embedded sensor stream. The ideal candidate will have extensive experience deploying machine learning models into real products.

Key Responsibilities

• Performance Tracking: Set standards for how performance metrics are calculated and communicated to the team and customers
• Signal Processing: Devise and implement ways of determining what information can be gathered from a signal.
• Model Development: Create and test various signal processing logic, algorithms, and neural networks to detect multiple different gestures.
• Model Improvement: Make well-informed improvements to model performance.
• Model Deployment: Deploy models securely, obfuscating our models.
• Sensor Parameter Definition: Define the sensor parameters used for optimal gesture recognition.
• Model Training: Improve model training speeds and memory efficiency.
• Team Leadership: Define model development roadmaps, assign responsibilities, and recruit the right people to make it happen.

Shared Activities with Other Teams

• Data Acquisition: Devising data acquisition games and required hardware.
• Metrics Development: Devising model performance metrics with our interaction team, customers, and users.
• Hardware Specifications: Defining data acquisition, and testing hardware specifications.

Requirements

• Education: A Master’s Degree in Electrical Engineering or an equivalent field (Data Science, Physics, Computer Science, etc. PhD preferred)
• Experience: Proven experience in developing and deploying ML models to end consumers.
• Technical Skills: Strong understanding of signal processing, time series classification, and machine learning.
• Leadership: Set a technical direction for a team, hold the team accountable to high quality and technical standards. Contribute to hiring decisions.
• Communication: Excellent communication skills, with the ability to give technical and team member feedback.

Personal Qualities

• Ambition: Desire to be part of a world-class team.
• Domain Interest: Genuine interest in human computer interaction.
• Excellence: Almost an unhealthy obsession with the quality of the things we build.
• User Centricity: Actively caring and ensuring that things we make feel great by others, not just by ourselves.
• Agency: Going beyond one’s own prescribed domain to ensure that things get done and taking responsibility for it.

Keywords
Signal Processing, Algorithm Developer, Sensors, Electrical and Electronics Engineer, Machine Learning
Doublepoint
Helsinki
Kokopäiväinen
Julkaistu 26.04.202

• Performance Tracking: Set standards for how performance metrics are calculated and communicated to the team and customers
• Signal Processing: Devise and implement ways of determining what information can be gathered from a signal.
• Model Development: Create and test various signal processing logic, algorithms, and neural networks to detect multiple different gestures.
• Model Improvement: Make well-informed improvements to model performance.
• Model Deployment: Deploy models securely, obfuscating our models.
• Sensor Parameter Definition: Define the sensor parameters used for optimal gesture recognition.
• Model Training: Improve model training speeds and memory efficiency.
• Team Leadership: Define model development roadmaps, assign responsibilities, and recruit the right people to make it happen