Consumers everywhere have valued online shopping for some time now, but after 2020- the online retail experience has become more important t...
Consumers everywhere have valued online shopping for some time now, but after 2020- the online retail experience has become more important than ever. This company is revolutionizing the way that consumers online shop. They've done this by creating a white label platform that combines AI and Machine Learning to create a 3D rendition of individual shoppers, they are helping to improve the online shopping experience forever. By doing this, the app will then filter through the clothing selections and only show you the options that will fit your size and body type. This reduces the amount of returns shoppers are making and overall improve the online shopping experience.
I bet you're wondering "That is freakin' awesome, how can I be a part of this?!" Well...if you are a Machine Learning/ML Ops Engineer located anywhere on the east coast with experience developing and deploying complex machine learning models into iOS and AWS, this may be the role for you. This is a fairly divergent role that will require someone with a dynamic background to step in and take ownership over several tasks and responsibilities.
This position cannot offer sponsorship now or in the future. All candidates must be located within EST to be considered for the role.
Required Skills & Experience
Desired Skills & Experience
- Experience with ML Core (preferred), Swift, or iOS
- ML Ops experience
- Experience working with 3D software/data
What You Will Be Doing
- DevOps tools
- Additional Python frameworks/libraries
- 25% Software Development
- 75% Machine Learning Development/ML Ops
Daily Responsibilities The Offer
- Competitive Pay: Up to $180k DOE
You will receive the following benefits:
- Medical & Dental Insurance
- Health Savings Account (HSA)
- Paid Sick Time Leave
- Pre-tax Commuter Benefit
- Full Remote
- Eligible for conversion to full time after 6 months
- Bleeding edge technology
- Room for growth
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. - provided by Dice