Hybrid ML Infrastructure Engineer Computer Vision & AI

Position: Hybrid ML Infrastructure Engineer for Computer Vision & AI
Overview

Job Title:

Machine Learning Infrastructure Engineer – Computer Vision & AI

Employer:

The Mice Groups, Inc.

Location

Redwood City, CA (Hybrid)

Employment type

Contract-to-Hire or Full-Time

Compensation

Base pay range: $/yr - $/yr

Responsibilities

Note:

The original description did not include explicit responsibilities. Please provide a responsibilities section to complete the job posting.

Required Qualifications

• 6+ years of industry experience (minimum 4 years in the U.S.)

• BS/MS in Computer Science or related field

• Strong foundation in machine learning, deep learning, and computer vision

• Proven experience with scalable ML infrastructure and distributed systems

• Proficient in Python and software development best practices

• Experience with LLMs, LVMs, and RAG in production environments

• Excellent communication and collaboration skills

Nice to Have

• Experience working in real-time video processing environments

• Familiarity with cloud-based ML platforms and MLOps tools

Interview Process

• Initial phone/video screen

• Onsite interview (includes technical deep dive and team fit)

Additional postings

The original content included multiple postings for similar roles and salary ranges in different locations. Those items have been omitted to focus on the current role.

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