Machine Learning/AI Engineer

About Us:

Help us build the Future of Fashion, One BOD at a time!

We are looking for highly motivated, team players to transform fashion e-commerce. If you love big challenges, working with cutting edge technologies, thinking outside the box, developing digital solutions to real world problems, and collaborating with the biggest brands in the world, we want to hear from you!

BODS is leveraging cutting-edge achievements in AI, computer graphics, and gaming technology to create a personalized, digital try-on experience. We offer the only accurate and elegant 3D solution in the market today. The BODS experience empowers online shoppers to make informed purchasing decisions, leading to less returns, while encouraging them to explore and experiment with their style IRL and into the Metaverse. Our photo-realistic depictions—of body types, skin tones, garments, materials, and real-time styling are a first for fashion. It's personalized, it's immersive and it's a sustainable way to shop!

BODS is looking for talented Machine Learning experts who will be responsible for designing, developing, and maintaining our growing AI codebase.

Responsibilities:

• Design, build, and deliver Machine Learning models and components to solve real problems
• Use your understanding of Modeling Techniques, data, model training, hyperparameter tuning, and validation, to inform decision making
• Collaborate as part of a cross functional team to solve customer requirements
• Retrain, maintain, and monitor existing models
• Leverage cloud-based tools and technologies to deliver ML models at scale

Requirements:

• Minimum of 3 years of experience in Python, Scala, or Java
• Minimum of 3 years of building, scaling, and optimizing machine learning systems
• Familiar with Hybrid Feature Selection and Bayesian Search
• Works well in a team environment, with talented people both inside of engineering and other teams
• Write clear, legible, and understandable code
• Experience taking projects from idea through to completion, and iterating to improve them
• In the US, preferably in the Pacific Time zone
• Online communication, team collaboration skills, and English proficiency a must

Bonus Points:

• Experience deploying Machine Learning on AWS, Azure, or Google Cloud
• Experience using Ai.sagemaker on AWS
• Interest in applying Machine Learning to 3D graphics

Perks:

• We're building out our US based team for the first time. So if you're the right person for the job, we're open to On-Site, Remote, and Hybrid work.