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 collaborating in developing our overarching machine learning initiatives that will further enhance the mission to beautify the world's old and tired sofas
How We Work
How we work: Our software development life cycle is governed by Scrum, with a developer-first approach that empowers the building of great solutions. We further enhance this with our infrastructure-less nanoservices architecture and our seamless CI/CD processes, which keep us abreast with the latest trends in web technologies
Key Responsibilities
- Collaborate in developing our overarching machine learning strategy to enhance product identification and measurement extraction.
- Design, program, and train machine learning models primarily using Python (PyTorch and PyTorch Transformer); familiarity with Node.js, Go, or Rust is a plus.
- Utilize WebGL for creating training image 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.
- All employees are expected to perform these duties with consideration for social and environmental impact, alongside any other duties assigned by their immediate supervisor.
The Requirements
- Deep Learning & Math: A deep mathematical understanding of deep learning algorithms and computer vision, specifically Transformers, Object Detection, and 3D reconstruction techniques.
- Framework Proficiency: Expert-level proficiency in PyTorch and experience with the PyTorch Transformer ecosystem (replacing Keras/TensorFlow).
- ML Vernacular: Excellent communication skills with the ability to articulate complex ML concepts, architectural trade-offs, and research papers to the team clearly.
- Cloud Experience: Proven experience with cloud-based machine learning services, including Google AutoML, Azure ML Studio, and Amazon SageMaker.
- Coding Experience: A minimum of 3 years of experience in developing production-ready code.
- API Integration: Expertise in cloud-based API framework integration with the developer's programming language of choice.
The Company
Comfort Works is a globally recognized E-commerce brand that manufactures custom sofa covers for furniture brands such as IKEA, Muji, Pottery Barn, West Elm, Crate and Barrel, and many more.
After 10 years in the business and 1 million homes covered, we still maintain our customer first philosophy and our 5 star rating.
Perks And Benefits
- Competitive Base Salary withan attractive benefits package.
- Hybrid working arrangements (3 days in office, 2 days WFH).
- Strong career progression opportunities.
- Work in an environment that values trust and autonomy
- Company Laptop & all the latest gadgets.
- Parking Allowance & MRT near the office.
- Casual Working Environment with snacks and a swimming pool.
- Our hiring practices are designed to be fair and equitable, ensuring equal opportunity for all applicants based on merit, not personal characteristics such as gender, race, color, age, or religion.
- Only shortlisted candidates will be contacted
About Comfort Works
Comfort Works aims to breathe new life into all of the world's living space; we do it by creating beautiful, handmade slipcovers that rejuvenate old and tired sofas. Tens of thousands of customers around the globe use our slipcovers to amplify their delight towards their homes. It's our mission not to just refresh their living space, but to make them fall back in love with it. If this mission speaks to you, join our team today.
