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Xora Innovation

Funding AI and deep tech ventures

Vice President of AI - XVL

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Proven experience building and managing an AI organization while doing hands-on technical work, and comfort leading teams while actively contributing to the codebase.
  • At least 10 years of experience in AI, software engineering, machine learning architecture, robotics, intelligent systems, or complex technical platforms.
  • Direct experience with robotics, autonomous systems, industrial systems, physics-informed machine learning, reinforcement learning, control systems, simulation, digital twins, or real-world telemetry.
  • Deep experience designing and building production-grade AI, machine learning, data, or software infrastructure from the ground up.
  • Exceptional hands-on coding skills and the ability to manage data pipelines, model orchestration, validation, feedback loops, and complex, messy real-world data.
  • Strong, up-to-date understanding of optimization, statistical modeling, and system-level AI design.
  • A bachelor's degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field.

Responsibilities

  • Build and manage the AI organization at 4MP while doing hands-on technical work; recruit and mentor a team while architecting AI modules, writing code, reviewing architecture, and building prototypes alongside them.
  • Design and develop intelligence layers that enable machines to interpret manufacturing intent, understand system deviations, and autonomously generate corrective actions.
  • Define how AI interacts with physics-based models, machine telemetry, sensor data, CNC programs, and manufacturing context.
  • Build AI systems that extract machining intent from G-code, accounting for operator variability, CAM differences, and varied programming styles.
  • Develop feedback loops that combine AI reasoning with physics-based models and sensor data, enabling machines to improve from each correction cycle and production result.
  • Create a scalable data architecture that captures manufacturing intelligence across machines, parts, tools, materials, and production environments.
  • Define simulation and validation environments for training, testing, and scaling autonomous correction models.
  • Work closely with other functional leaders to contribute to company strategy, technology and business roadmaps, and comprehensive project plans.

Desired Qualifications

  • A master's or PhD in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field.
  • Startup experience combined with a track record of navigating the growth and product-focused phase at a major AI organization such as OpenAI, Anthropic, Google, or Meta.
  • A track record of turning ambiguous, unsolved technical problems into reliable working systems where no playbook existed.
  • A focus on building foundational, long-term scalable platforms and intelligent systems rather than standalone models.
  • Interest in building a platform that fundamentally reshapes an industry as a career-defining opportunity.

About the Company

Xora Innovation

Funding AI and deep tech ventures

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Company size
11-50
Company stage
Not listed
Total funding
$1.8B
Headquarters
Singapore, Singapore
Founded
2019

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