Computer Vision Algo Tech Lead at Nanit

Ramat Gan, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Audio/Speech, Generative AI, Agentic AI, Deep Learning, AI Algorithms, Project Management, Python Programming, AI Systems, Software Components, System Design, Data Annotation, Research Implementation, Production-Grade Models, Multidisciplinary Team Leadership, Classical Computer Vision Algorithms, AI Solutions Deployment

Industry

Consumer Electronics

Description

Welcome to Nanit, the high-growth baby tech company that is changing the way parents view their babies' wellness through the world’s most advanced baby monitor and parenting products. In 2016, the Nanit baby monitor revolutionized the industry with computer-vision and machine-learning capabilities that helped parents understand their baby’s sleep patterns and allowed them to achieve better sleep quality. Now, the company has become the leader in the connected parenting space, with an incredible customer base of highly-engaged parents who look to Nanit as a source of information and expertise on their parenting journey. About the role We are seeking an experienced Tech Lead to drive AI/algorithm-based development within a multidisciplinary team (Algo, AI-Backend, Data, etc.). As a Tech Lead, you will balance technical and business/product considerations, combining hands-on research and implementation with technical and project leadership. You will serve as a key knowledge resource for the team, champion best practices, and guide the end-to-end development of production-grade AI systems. What You'll Do: Conduct research and implementation of AI based solutions in the fields of Computer Vision, Audio/Speech, Generative AI, and AgenticAI. Lead and manage end-to-end development of a multidisciplinary team (Algo, AI-Backend, Data, etc.), from the research phase to production-grade models and systems. Work on a diverse set of tasks, including Computer Vision, Audio, Agentic AI and Generative AI. Collaborate closely with AI-Backend and Data Annotation teams. Maintain at least 70% hands-on involvement. Who You Are: At least 7 years of experience in deep learning development for AI-based algorithms. Experience deploying AI solutions to production in large-scale products within multidisciplinary teams or companies. Strong understanding of AI systems end-to-end, including algorithms, software components, and system design principles. Proven project management skills, with the ability to plan, prioritize, and lead complex AI initiatives end-to-end. Excellent programming skills in Python. Practical experience and theoretical understanding of AI models. M.Sc. in Computer Science, Electrical Engineering, or Mathematics. Experience with Generative and Agentic AI systems - an advantage. Basic knowledge of classical computer vision algorithms - an advantage. Why Nanit? Nanit products can actually change lives. We're an integral part of the lives of new parents, making an exciting but stressful time a little more manageable We are international and believe our diversity makes our culture, products and brand even better We invest in our people. We consider each employee a long-term investment and we see value in continuously helping them to advance in their lives and careers Nanit is a fun, collaborative group of hard workers! We believe in an appropriate work-life balance, and offer a flexible, open environment We are at the forefront of innovation, creating products and services that have never been seen before We are proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.

Responsibilities

The Tech Lead will conduct research and implement AI-based solutions in various fields, leading a multidisciplinary team from research to production-grade models. They will maintain hands-on involvement while managing the end-to-end development process.