Talantix.io
Applied Intuition•02.03.26
AI SCORE 8.5

Remote Engineering Manager - ML Platform and Infrastructure

$180K–$220K/year
RemoteHybridAI/Big Data
Machine Learning•AI Infrastructure•Software Development•Cloud Platforms•Project Management•Team Leadership

About the Role

We're hiring a Remote Engineering Manager to lead our ML Platform and Infrastructure team at Applied Intuition. This is an exciting opportunity to shape the future of physical AI by managing a talented group of engineers dedicated to building cutting-edge solutions. As a Remote Engineering Manager, you'll play a crucial role in developing the digital infrastructure that powers intelligence in various industries, including automotive, defense, and agriculture.

What You'll Do

  • Lead a world-class engineering team focused on developing and enhancing our ML platform.
  • Oversee the design and implementation of scalable infrastructure solutions that support our AI initiatives.
  • Collaborate with cross-functional teams to ensure alignment on project goals and deliverables.
  • Foster a culture of innovation and continuous improvement within the engineering team.
  • Manage project timelines, resources, and budgets effectively to meet organizational objectives.

Requirements

  • 5+ years of experience in engineering management, specifically in AI or machine learning environments.
  • Strong technical background in software development and infrastructure management.
  • Proven track record of leading successful engineering teams and projects.
  • Excellent communication skills and ability to work collaboratively across teams.
  • Experience with cloud platforms and modern ML frameworks.

Nice to Have

  • Experience in the automotive or defense sectors.
  • Familiarity with agile methodologies and project management tools.
  • Advanced degree in a relevant field.

What We Offer

  • Competitive salary ranging from $180,000 to $220,000 per year.
  • Flexible work arrangements, including remote work options.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and career growth.
  • A collaborative and innovative work environment.
Why This Job8.5 of 10

This Remote Engineering Manager position offers a unique opportunity to lead a talented team in a rapidly growing AI company. With a competitive salary and flexible work options, it's an attractive role for experienced leaders.

Salary Range
Required
0/1
Optional
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Bonus
0/1

Who Will Succeed Here

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Proven expertise in developing and managing Machine Learning infrastructures using platforms like TensorFlow and PyTorch, with a deep understanding of cloud services such as AWS or Google Cloud for scalable AI solutions.

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Strong project management skills, demonstrated through experience with Agile methodologies and tools like Jira or Trello, allowing for effective remote collaboration and timely delivery of complex engineering projects.

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A strategic mindset with a focus on innovation and continuous improvement, having led cross-functional teams in high-stakes environments, ensuring alignment between engineering goals and business objectives.

Learning Resources

→Machine Learning Crash Coursecourse
→Cloud AI Platform Documentationguide
→Building Machine Learning Powered Applicationscourse

Career Path

Remote Engineering Manager - ML Platform and Infrastructure(Now)→Director of Engineering - AI Solutions(2-4 years)→VP of Technology - Machine Learning(5-7 years)

Market Overview

Market Size 2024
$43.6B
Annual Growth
34.9%
AI Adoption
86%
Investment
+200%
Labour Demand
+50%
Avg Salary
$150K

Skills & Requirements

Required
Machine LearningAI InfrastructureSoftware Development
Growing in Demand
Deep Learning Frameworks (e.g., TensorFlow, PyTorch)Data EngineeringMLOps
Declining
Traditional Data Warehousing (e.g., Oracle DB)Basic Statistical Analysis (e.g., SPSS, SAS)

Domain Trends

Increased Investment in AI Infrastructure
Companies are projected to increase their AI infrastructure investments by 200% by 2025, focusing on scalable cloud solutions.
Rise of MLOps Practices
Adoption of MLOps practices is expected to grow by 75% in 2024, streamlining the deployment and monitoring of ML models.
Focus on Ethical AI Development
Around 70% of organizations are prioritizing ethical AI practices, with a significant portion investing in tools to ensure compliance and transparency.

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