Machine Learning Engineer

The Mice Groups, Inc.; Redwood City (CA); Ibrido; USD 150.000 - 180.000; Tempo pieno

Descrizione del lavoro

The Mice Groups, Inc. seeks a Machine Learning Infrastructure Engineer focusing on computer vision and AI. The role requires strong ML, DL, and CV foundations and hands-on work with scalable ML infrastructure and distributed systems. Proficiency in Python and production-grade software practices is essential.

Hybrid work in Redwood City, CA with a base pay range of $150,000 to $180,000 per year. Contract-to-Hire or Full-Time employment options are available.

Competenze

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

Mansioni

• Provide responsibilities aligned to the role (e.g., design and maintain ML infrastructure for CV/AI workloads
• Collaborate with ML scientists to deploy scalable pipelines
• Ensure reliability, monitoring, and performance tuning of ML systems

Conoscenze

Python

Machine learning

Computer vision

Distributed systems

Software development practices

LLMs/LVMs/RAG

Communication

Team collaboration

Formazione

BS/MS in Computer Science or related field

Descrizione del lavoro

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: $150,000.00/yr - $180,000.00/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.