Machine Learning Engineer / Data Engineer Job at Robert Half (Culver City, CA)

Machine Learning Engineer / Data Engineer

Robert Half

Location:
United States , Culver City, CA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

200000.00 USD / Year

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Job Description:

We are seeking a Machine Learning Engineer / Data Engineer to help build scalable data and machine learning platforms that power intelligent products and decision systems. This role will focus on developing infrastructure and pipelines that enable multiple teams to leverage advanced analytics, real-time decisioning, and modern AI capabilities including LLM-based applications.

Job Responsibility:

Design and build scalable data and machine learning platforms used by multiple internal teams
Develop and maintain ML pipelines, feature stores, and training workflows
Build infrastructure supporting LLM-powered applications, including embeddings, vector search, and RAG pipelines
Develop systems for real-time decisioning, including pricing, personalization, and recommendation engines
Build and maintain experimentation platforms and A/B testing infrastructure
Optimize data pipelines and ML workflows for performance and scalability, including GPU-based training environments
Collaborate with product, engineering, and data teams to operationalize machine learning models in production

Requirements:

5+ years of experience in machine learning engineering, data engineering, or ML infrastructure
Proven experience building internal data and ML platforms used across multiple teams
Experience implementing LLM infrastructure (embeddings, vector databases, vector search, RAG pipelines)
Experience developing real-time decisioning systems such as recommendations, pricing, or personalization engines
Experience building experimentation frameworks or A/B testing infrastructure
Hands-on experience with deep learning workflows or GPU-based training systems
Strong programming experience in Python and SQL
Experience working with modern data platforms and cloud infrastructure

Nice to have:

Experience in consumer technology, sports, marketplaces, or entertainment platforms
Familiarity with large-scale data systems and distributed ML infrastructure
Experience deploying and monitoring production ML systems

What we offer:

Bonus/Equity (if applicable)
medical, vision, dental, and life and disability insurance
company 401(k) plan
free online training

Additional Information:

Job Posted:
April 11, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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