ML Engineer - Recommender Systems & Personalization

Ellis Technologies, Inc.; San Jose (CA); On-site; USD 156,000 - 316,800; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

17 days Paid Personal Time

Paid parental leave

Job summary

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.

Qualifications

• Completion or nearing completion of a PhD degree in a technical field.
• Strong foundation in machine learning and experience in NLP and personalization.
• Exceptional coding skills with solid knowledge of data structures.

Responsibilities

• Conduct cutting-edge research in machine learning algorithms.
• Build large-scale e-commerce recommendation systems.
• Analyze large amounts of data to design efficient algorithms.

Skills

Machine learning

Deep learning

Natural Language Processing

Analytical skills

Coding skills

Education

PhD in Software Development or related field

Tools

Linux

Job description

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.