
MoodMe is a leader in real-time emotion detection technology, providing organizations with actionable insights into customer engagement and emotional responses. Their innovative Emotion Detection AI…

MoodMe is a leader in real-time emotion detection technology, providing organizations with actionable insights into customer engagement and emotional responses. Their innovative Emotion Detection AI…
What they do: On-device Emotion AI and face analytics SDKs for real-time emotion, engagement and demographic insights
Privacy: Edge-first processing — inference runs locally; company states faces are not stored or sent to the cloud
Customers / Traction: Serves 160+ global clients across industries including gaming, healthcare, automotive, retail and events
Founded: 2011 (alternative records show 2015 company registration)
Measuring real-time human emotion and engagement for analytics, personalization and audience insights across multiple industries.
2011
Technology, Information and Internet
Latest recorded funding event listed as a grant on Sep 1, 2024
“Seed angel investors and institutional/regional grants; named investors include Annalisa Tarquini, Guido Peters, TechShare SpA and Qatar Development Bank”
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Location: San Francisco, California / Global (Remote)
Commitment: Minimum 24 hours/week (full-time preferred)
Compensation: Equity-only (Founder package) + Commission (based on revenue impact)
About MoodMe
MoodMe is an innovative deep tech leader on a mission to revolutionize the way people and businesses engage and gain insights through AI.
By leveraging the power of privacy-first Face AI technologies running entirely on-device (edge AI), we create experiences that are not just engaging but profoundly insightful — providing a window into the hearts and minds of the target audience. Our vision is to set the standard in empathetic engagement, where user-centric experiences boost customer satisfaction, foster loyalty, and drive outstanding performance across diverse industries.
MoodMe’s core Face AI technology is supported by significant R&D, including work completed in collaboration with the University of Mons (UMONS), backed by a $1M research grant.
At our core, we are dedicated to uniting innovation and ethics to craft an AI landscape that is unbiased and empathetic, ultimately making a powerful positive impact on a global scale. And this is only the beginning.
More here: https://www.mood-me.com
Compensation & Commitment
Our unique compensation package is composed of Founder equity, offering you a stake in our vision.
We ask for a minimum commitment of 24 hours per week (full-time preferred). In addition, this role may also include commission-based compensation tied to revenue and customer wins, depending on your level of involvement and impact.
If you are motivated by both innovation and long-term rewards, join us in making a significant impact on the tech landscape.
Focus: Infrastructure, Performance, and Cross-Platform Architecture.
The Goal: Build the "engine" that makes MoodMe invisible, fast, and stable everywhere.
The Mission
As the Lead SDK Engineer, you are responsible for the "guts" of MoodMe. You will architect the unified core that allows our AI to run on any device with a camera. Your success is measured by millisecond latency, binary size, and the rock-solid stability of our production libraries.
Key Responsibilities
* Unified Core Architecture: Design and maintain the shared logic (C++/WASM/Rust) that powers our Web, Mobile, and Game Engine offerings.
* Platform Bindings: Build idiomatic wrappers for iOS (Swift), Android (Kotlin), Web (TS), and Game Engines (C#/C++) to ensure our tech feels "native" to every developer.
* Performance Engineering: Lead the charge on GPU acceleration (Metal/Vulkan/WebGL) and threading models to ensure real-time tracking doesn't compromise the host app's performance.
* CI/CD for Libraries: Build the automated pipelines that test and deploy our SDKs across all 5 platforms simultaneously.
Candidate Profile
* A "Low-Level" enthusiast who loves memory management and optimization.
* Extensive experience shipping public-facing libraries or SDKs.
* Deep knowledge of how compilers and hardware-accelerated AI (CoreML/NNAPI) actually work.
Interview Process
A short conversation to confirm role alignment, experience, and motivation, share company context and expectations, and answer high-level questions about the role, process, and compensation.
Technical Interview (45–60 minutes)
A technical conversation focused on depth, engineering judgment, system design thinking, and collaboration style. We focus on how candidates think and communicate — not trivia or puzzles.
Take-Home Assignment
Candidates who advance will complete a short take-home assignment designed to reflect real work in the role. It is clearly scoped and time-boxed (typically 3–4 hours) and reviewed asynchronously.
Follow-Up Interview
In some cases, a follow-up conversation may be scheduled to review the take-home assignment together, go deeper on technical tradeoffs, and address any remaining questions.
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