Talantix.io
micro1•28.01.26
AI SCORE 8.5

VP of AI Engineering - Remote Leadership Role

$180K–$250K/year
RemoteAI ServicesWWVisaRelocation
AI•Machine Learning•Model Training•Data Quality•Technical Leadership•Human-in-the-Loop Systems

About the Role

We are seeking a VP of AI Engineering to join our innovative team at micro1. This remote position offers a unique opportunity to lead and shape the AI engineering function within our organization, focusing on delivering high-quality, production-ready AI systems.

What You'll Do

  • Own AI engineering across micro1’s core products, including Zara (AI Recruiter) and Rhea AI.
  • Evaluate, fine-tune, and build on top of foundation models; train non-LLM models from scratch where needed.
  • Establish best practices for model evaluations, human data, and feedback loops.
  • Lead and scale a high-performance, hands-on AI engineering team.
  • Contribute directly to model development and backend systems when required.
  • Set direction for new AI tools and products in close partnership with Product and Engineering.
  • Report directly to the CEO and support customer conversations when needed.

Requirements

  • Deep, hands-on AI/ML engineering experience in production.
  • Strong experience training models from scratch and fine-tuning LLMs.
  • Excellent understanding of evaluations, human-in-the-loop systems, and data quality.
  • Proven technical leadership with a strong execution mindset.
  • Comfortable operating in fast-moving, ambiguous environments.

Nice to Have

  • AI research background from a top school or AI lab (applied, not pure research).
  • Experience with RLHF or human-feedback-driven systems.
  • San Francisco-based (big plus).

What We Offer

  • Competitive salary ranging from $180,000 to $250,000 annually.
  • Remote work flexibility.
  • Visa sponsorship and relocation package available.
  • Opportunity to work with leading AI technologies.
  • Collaborative and innovative work environment.
Why This Job8.5 of 10

This VP of AI Engineering role offers a unique opportunity to lead AI initiatives at micro1, a company at the forefront of AI technology. With a competitive salary and remote work flexibility, this position is ideal for experienced leaders in AI.

Salary Range
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Optional
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Bonus
0/1

About micro1

Explore micro1 careers in 2026 and discover exciting job openings across remote, hybrid, and office roles. Utilize advanced filters to tailor your job search, track your applications, and gain valuable insights about the company. With a focus on career opportunities at micro1, find your perfect position and take the next step in your professional journey with us. Start your search today!

Industry
Tech
Location
Remote

Who Will Succeed Here

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Expertise in AI frameworks like TensorFlow and PyTorch, with a strong understanding of model training and deployment in production environments.

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Proven experience in leading remote teams, fostering collaboration and innovation in a virtual setting while maintaining high productivity and engagement.

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A data-driven mindset with a focus on data quality and human-in-the-loop systems, ensuring that AI models are not only performant but also ethical and aligned with user needs.

Learning Resources

→Deep Learning Specializationcourse
→Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlowbook
→Introduction to Human-in-the-Loop Machine Learningarticle

Career Path

VP of AI Engineering - Remote Leadership Role(Now)→Chief AI Officer(2-4 years)→CTO or Head of AI Strategy(4-6 years)

Market Overview

Market Size 2024
$126B
Annual Growth
20.1%
AI Adoption
75%
Investment
+50%
Labour Demand
+45%
Avg Salary
$210K

Skills & Requirements

Required
AIMachine LearningModel Training
Growing in Demand
Natural Language ProcessingDeep LearningData Engineering
Declining
Traditional Rule-Based SystemsBasic Data Analysis

Domain Trends

Rise of Explainable AI
Over 60% of organizations are prioritizing explainability in AI models to enhance user trust and regulatory compliance.
Integration of AI with IoT
By 2025, it is projected that 70% of AI applications will be integrated with IoT systems, enhancing real-time data processing.
Focus on Ethical AI Practices
A survey found that 80% of AI leaders are investing in ethical AI frameworks to address bias and transparency in AI systems.

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