Galsie

Overview

Galsie is a smart home startup dedicated to streamlining the adoption & configuration of smart home systems through intuitive interfaces, data-driven suggestions, and adaptive assistance.

 

We're primarily a software company (with hardware as a secondary focus), building an integrated ecosystem of services and tools that work together to deliver a next-level smart home experience. Our core software systems include:

* GCS (Galsie's Cloud Services): Backend cloud platform built in Java for managing homes, devices, users, automations, third-party integrations, and more.
* GDS (Galsie’s Device Stack): A software stack built in C++ that runs directly on Galsie's Smart Devices, enabling seamless integration with other ecosystems and localized home operations.
* GalPyOps: Python-based operations layer handling analytics, machine learning, and AI for both GCS and GDS.
* GalSite: Our main web presence, built using a custom proprietary reactive front-end framework written in TypeScript, HTML, CSS, and Python.
* GalApp: Mobile application for phones, tablets, and wearables. Written in Swift for iOS and Kotlin for Android.

 

Position

We are currently seeking a Data Scientist with expertise in python development, data analysis, statistics, computer vision, audio processing, machine-learning and AI system development to help design, architect & build Galsie's tracking, recognition, and predictive systems - as well as our LLM-based assistant.

 

Responsibilities

* Architect, develop, and maintain data pipelines and storage systems optimized for AI model training and inference (structured, unstructured, time-series, and multimedia data).
* Apply advanced data analysis and statistical methods to identify automation opportunities, user preferences, and predict next likely actions, both globally and on a per-user basis.
* Design and implement personalized recommendation engines and predictive models based on user data and smart home events.
* Develop LLM-based agents and workflows that interact with users for intelligent, context-aware suggestions & assistance.
* Build and refine Galsie’s AI systems for object recognition, user identification, and event detection from image, video, and audio footage using tools like OpenCV, TensorFlow, PyTorch, and custom models.
* Research, prototype, and productionize new AI models, algorithms, and architectures that enhance the smart home experience.
* Stay current with AI & ML development trends, and propose technologies or tools that improve efficiency and quality.
* Write clean, well-documented code that meets product requirements
* Maintain and improve CI/CD pipelines, and ensure reliability & responsiveness of the iOS Application.
* Collaborate with cross-functional teams including cloud, mobile, and device teams to integrate AI features throughout Galsie’s ecosystem.

 

Required Qualifications

* 4+ years of experience in data science, AI, and software development.
* 2+ years hands-on experience with computer vision, image/video processing (OpenCV, TensorFlow, PyTorch, or similar).
* 2+ years experience with audio processing (speech recognition, event detection, classification, etc.).

 

* Background in data analysis, statistics, and predictive modeling.
* Proven Experience in LLM prompt engineering, fine-tuning, and agent orchestration using frameworks like LangChain, OpenAI APIs, HuggingFace Transformers, or .
* Experience architecting data storage systems for AI pipelines, such as using time-series databases, object storage, and hybrid data lakes.
* Proficiency in designing AI/ML systems with scalability, modularity, and maintainability in mind.

 

* 3+ years experience Python and relevant data science/ML ecosystems (NumPy, pandas, scikit-learn, TensorFlow, PyTorch).
* Strong understanding of object-oriented and functional programming, clean code practices, and design patterns.
* Proficient with Git, GitHub workflows, and collaborative software development.
* Strong verbal and written skills, and proficiency in English.

 

Additional Preferred Qualifications

* Experience in smart home, IoT, or edge computing AI systems.
* Experience building and training deep learning models, including LLMs, CNNs, RNNs, and custom architectures.
* Familiarity with device-based AI acceleration frameworks (TensorRT, CoreML, ONNX Runtime, etc.).
* Knowledge of privacy-preserving ML techniques (federated learning, edge AI, etc.).
* Experience in cloud-based AI infrastructure (AWS, Azure ML, GCP AI, or similar).
* Experience with recommendation engines, behavior modeling, and personalization systems.
* Experience with data annotation pipelines and synthetic data generation for training purposes.

 

Work Hours, Availability, and Compensation

* Position Type: Part-time
* Working Hours: 5 hours per weekday, 3 hours on Saturday
* Office Hours: 9:00 AM – 7:00 PM (Beirut time)
* Work Hour Flexibility: Working hours must be completed within office hours
* Availability: Must be reachable and responsive during office hours to support team members
* Compensation: $400–$800 USD/month, based on experience and performance

 

Equity & Ownership

* ESOP: You will be granted an Employee Stock Ownership Plan (ESOP), giving you a stake in Galsie’s long-term success.
* Stock Options: You will also receive options to purchase company stock at reduced prices, providing additional opportunity for ownership and future growth participation.

 

Why join us?

At Galsie, you’ll be part of a forward-thinking, close-knit team solving real-world challenges in the smart home space. You’ll have the opportunity to work on a modern tech stack, influence key architectural decisions, and shape the future of home automation alongside passionate engineers and creators.

 

We value clean code, thoughtful design, and a willingness to learn and grow. Beyond technical growth, we also believe in shared success — which is why you'll receive equity through our Employee Stock Ownership Plan (ESOP) and stock options at reduced prices, giving you a real stake in what we’re building.

 

If you're excited by the idea of building the future of smart living and being part of a team where your contributions truly matter, we’d love to hear from you.

Software Development

Python

Data

Hardware

Cloud

Java

TensorFlow

Data analysis

Machine learning

TypeScript

HTML/CSS

CSS3

Operations

Automation

Data Science

Swift

Android

Kotlin

Analysis

PyTorch

Computer Vision

Database

OpenCV

Algorithm

Analytics

Deep Learning

Web Development

Amazon

NumPy

Pandas

Azure

Functional progamming

Statistics

Growth

Infrastructure

Responsive Design

Support

Video/Audio Processing

Scikit-learn

GitHub

Langchain

OpenAI APIs

Huggingface

Time Series Analysis

Storage system

Data Lake

AI & Data Science Engineer (Python, LLM, Vision, Audio)