Senior AI Research Engineer
Quick Summary
Simply’s mission is to make the pursuit of creative hobbies simple and fun. Our top-grossing apps Simply Piano, Simply Guitar, Simply Sing,
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.
Responsibilities
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Master's degree in Electrical Engineering, Computer Science, Physics, or a related field
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3+ years of experience in designing and implementing AI/ML algorithms, with a strong focus on signal processing
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Proven experience working across the full ML lifecycle - from data acquisition and model training to production implementation and ongoing product iteration.
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Moves fast, with strong engineering instincts, able to choose the right level of complexity to drive real-world impact
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A get things done attitude with a strong sense of ownership
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A team player with excellent communication and collaboration skills; able to convey complex ideas clearly to technical and non-technical partners
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Exceptional analytical and problem-solving skills
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A fast learner, willing to try things out of your comfort zone
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Experience in speech, audio, or music-related domains - Advantage
Location & Eligibility
Listing Details
- Posted
- August 30, 2026
- First seen
- September 25, 2026
- Last seen
- September 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- September 26, 2026
Signal breakdown
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