ML Engineer - Recommender Systems & Personalization
ellis technologiesSan Jose (CA)
ML Engineer - Recommender Systems & Personalization
Posted yesterday
ellis technologiesSan Jose (CA)
Data ScientistsResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
SENIORITY
Lead
About the role
Ellis Technologies, Inc. is looking for a research scientist in San Jose to work on machine learning algorithms for e-commerce recommendations. Applicants should ideally have a PhD degree in a related field, along with excellent coding and analytical skills.
The role entails building large-scale recommendation systems, improving business scenarios through machine learning, and analyzing user data. Competitive salary and comprehensive benefits package offered.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this
