Staff Software Engineer, AI
Goodleap- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience. They are expected to demonstrate exceptional problem-solving abilities and strong communication skills to influence decisions and drive alignment across teams. A minimum of 5 years of experience in building and delivering robust, scalable, and highly reliable services in production environments is required, along with a deep passion for technical excellence, continuous learning, and innovation.
The Staff Software Engineer, Machine Learning will shape the ML Platform architecture, build and support complex, scalable, and multi-component data and ML systems, develop frameworks for continuous retraining of production models, partner with cross-functional teams to align technical decisions with organizational goals, serve as a go-to expert and mentor exemplifying excellence in AI/ML engineering, and champion code quality through code reviews and feedback.
Digital health platform for mindfulness and meditation
Headspace is a digital health platform focused on mindfulness and meditation, aimed at helping individuals improve their mental and physical well-being. The platform offers guided meditation sessions, daily mini-meditations, and exercises tailored for various needs such as sleep, stress, and anxiety. Users can access a limited selection of content for free, but a subscription to Headspace Plus unlocks the full range of services. This subscription model not only provides a steady revenue stream but also allows users to access comprehensive tools for mental health improvement. Headspace distinguishes itself from competitors by offering free access to its premium service for unemployed individuals, showcasing its commitment to supporting mental health during difficult times. The company's goal is to enhance the overall well-being of its users through accessible mindfulness practices.