At Comfort Works, we are committed to rejuvenating every living room by bringing beauty and innovation to sofas worldwide with our custom slipcovers. Our vision is to provide every homeowner with the chance to transform their living space into something beautiful. As a part of our tech-forward approach, we are building a dynamic Machine Learning team to revolutionize how we identify sofa models and estimate their dimensions using advanced ML techniques and 3D modeling.
When considering joining our team, it's crucial to understand that at Comfort Works, our work culture and environment might be different from what you've experienced before. We take pride in our unique set of values and we believe that they are key to our success. We'd love to hear from you if these resonate with you.
- No Fluff, Just Stuff: We skip the office gimmicks of pingpong table or bean bags. Our game is our work.
- Intense Workflow: Scrum governs our fast-paced, demanding environment.
- Collective Success: We strive to succeed as a team. Individual stars should shine elsewhere.
- Results Matter: We value and reward outcomes, not hours. Goals are met through smart work, not just hard work.
- Detail-Oriented: Overlooking details Our environment might be challenging.
- Learn from mistakes: Mistakes are opportunities to grow, the real failure is the failure to learn from it.
The Role
The Role
As a Machine Learning Developer at Comfort Works, you will be at the forefront of creating an intelligent system that identifies various furniture shapes and models from images and collaborate in developing our overarching machine learning initiatives that will further enhance the mission to beautify the world's old and tired sofas.
Responsibilities
- Collaborate in developing our overarching machine learning strategy to enhance product identification and measurement extraction.
- Design, program, and train machine learning models using Python, Node.js, Go, or Rust.
- Utilize WebGL for creating training datasets from our extensive library of 3D models.
- Refine ML models to realistically estimate sofa dimensions with high accuracy.
- Contribute to the creation of outstanding ML products that reflect Comfort Works innovative ethos.
- Act as a change agent, infusing our organizational culture with machine learning knowledge and practices.
Ideal Profile
Requirements
- A deep mathematical understanding of supervised learning algorithms, including but not limited to KNN (K-Nearest Neighbors) and SVM (Support Vector Machines).
- Proficiency in one or more data engineering frameworks such as Keras, Apache Spark, or TensorFlow.
- Proven experience with cloud-based machine learning services, including Google AutoML, Azure ML Studio, and Amazon SageMaker.
- A minimum of 3 years of experience in developing production-ready code in Python, Node.js, Go, or Rust.
- Expertise in cloud-based API framework integration with the developer's programming language of choice.
What's on Offer
- A great work culture
- Competitive compensation package above the average
- A flexible work environment
