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Salary
$104k – $264k per year (Estimated)
Location
In office (Tel Aviv)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Simply is a South African insurtech founded in 2018 and headquartered in Cape Town. It sells life, disability and funeral cover entirely online. The company focuses on simple products for working families.

Simply’s mission is to make the pursuit of creative hobbies simple and fun. Our top-grossing apps Simply Piano, Simply Guitar, Simply Sing, and Simply Draw put us on the fast track to building the world’s largest global consumer subscription service that’s revolutionizing how we spend our time at home. With over a million monthly downloads and hundreds of thousands of daily learners around the world, we’re redefining creative learning at scale.

What Senior AI Research Engineers do at Simply

Senior AI Research Engineers at Simply develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training AI / ML models as a core part of the role. The work spans a wide range of domains - from training generative AI and LLM-based models to create musical content at scale for Simply Piano, through building deep learning computer vision models that enhance user drawings in Simply Draw, to developing real-time audio ML models for music transcription that elevate feedback in Simply Guitar.

You will take full end-to-end ownership of cutting-edge algorithms and AI models - leading the process from ideation and research, through development, to production-grade implementation and engineering within Simply’s products. This includes not only designing and building AI models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users.

Who you are and what you’ve done

  • Master's degree in Electrical Engineering, Computer Science, Physics, or a related field

  • 3+ years of experience in designing and implementing AI/ML algorithms, with a strong focus on signal processing

  • Proven experience working across the full ML lifecycle - from data acquisition and model training to production implementation and ongoing product iteration.

  • Moves fast, with strong engineering instincts, able to choose the right level of complexity to drive real-world impact

  • A get things done attitude with a strong sense of ownership

  • A team player with excellent communication and collaboration skills; able to convey complex ideas clearly to technical and non-technical partners

  • Exceptional analytical and problem-solving skills

  • A fast learner, willing to try things out of your comfort zone

  • Experience in speech, audio, or music-related domains - Advantage

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