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Director técnico

Mappa

Latina

In loco

EUR 70.000 - 90.000

Tempo pieno

9 giorni fa

Descrizione del lavoro

A leading technology firm is seeking a Chief Technology Officer to lead Large Language Model initiatives and drive technological innovation in AI/ML. The ideal candidate will have a PhD and over 12 years of technical leadership experience. Responsibilities include overseeing LLM development, managing engineering teams, and ensuring project success. This role offers competitive executive compensation and the opportunity to shape the future of AI technology.

Servizi

Competitive executive compensation
Access to cutting-edge compute resources
Comprehensive benefits package
Flexible work arrangements

Competenze

  • 12+ years of technical leadership experience, with 5+ years in an executive role.
  • 5+ years of hands-on experience with large language models or related architectures.
  • Proven track record of scaling engineering organizations.

Mansioni

  • Define technical vision for LLM development and scaling.
  • Oversee architecture and development of large-scale LLM training infrastructure.
  • Build, mentor, and scale high-performing engineering teams.

Conoscenze

Technical leadership
AI/ML expertise
Project management
Strong communication
Talent recruitment

Formazione

PhD in Computer Science or related field

Strumenti

PyTorch
AWS
Google Cloud Platform
Descrizione del lavoro
Position Overview

We are seeking an exceptional Chief Technology Officer to lead our Large Language Model initiatives and drive technological innovation in AI/ML. This executive role requires a visionary leader who can bridge cutting-edge research with scalable production systems while building and managing world-class engineering teams.

Key Responsibilities
Strategic Leadership
  • Define and execute the technical vision for LLM development, deployment, and scaling
  • Drive strategic partnerships with research institutions, cloud providers, and AI/ML vendors
  • Lead technology roadmap planning aligned with business objectives and market opportunities
  • Represent the company at industry conferences, research symposiums, and with key stakeholders
Technical Excellence
  • Oversee architecture and development of large-scale LLM training and inference infrastructure
  • Guide research initiatives in model optimization, efficiency improvements, and novel architectures
  • Ensure robust MLOps practices, including model versioning, monitoring, and deployment pipelines
  • Drive innovation in areas such as multi-modal models, retrieval-augmented generation, and agent frameworks
Organizational Leadership
  • Build, mentor, and scale high-performing engineering and research teams (50-200+ people)
  • Establish engineering culture focused on excellence, innovation, and rapid iteration
  • Collaborate closely with CEO, CPO, and other executives on product strategy and go-to-market
  • Drive talent acquisition strategy for specialized AI/ML roles
Operational Management
  • Oversee technical budgets, infrastructure costs, and resource allocation
  • Ensure security, compliance, and ethical AI practices across all LLM initiatives
  • Manage vendor relationships and technology partnerships
  • Drive cost optimization for compute-intensive workloads
Required Qualifications
Education & Experience
  • PhD in Computer Science, Machine Learning, AI, or related field (or equivalent industry experience)
  • 12+ years of technical leadership experience, with 5+ years in executive roles
  • 5+ years of hands-on experience with large language models, transformers, or related architectures
  • Proven track record of scaling engineering organizations from startup to enterprise level
Technical Expertise
  • Deep understanding of LLM architectures, training methodologies, and optimization techniques
  • Experience with distributed training frameworks such as PyTorch
  • Strong background in cloud infrastructure, particularly GPU/TPU clusters and ML platforms
  • Knowledge of model compression, quantization, and inference optimization
  • Understanding of AI safety, alignment, and responsible AI practices
Leadership Skills
  • Demonstrated ability to recruit, develop, and retain top-tier technical talent
  • Experience managing complex, multi-disciplinary projects with competing priorities
  • Strong communication skills with ability to explain complex technical concepts to diverse audiences
  • Track record of successful collaboration with product, business, and research teams
Preferred Qualifications
  • Startup experience or research experience at leading AI/ML companies (OpenAI, Anthropic, Google DeepMind, etc.)
  • Published research in top-tier ML conferences such us NeurIPS, ICLML, ICLR, etc.
  • Experience with foundation model commercialization and API products
  • Experience with open source models, RAG (Retrieval-Augmented Generation), and fine-tuning techniques
  • Cloud experience with AWS or Google Cloud Platform
  • Background in adjacent areas such as computer vision, robotics, or speech recognition
  • MBA or equivalent business education
What We Offer
  • Competitive executive compensation package including equity
  • Opportunity to shape the future of AI technology at scale
  • Access to cutting-edge compute resources and research partnerships
  • Collaborative work environment with world-class researchers and engineers
  • Comprehensive benefits including health, dental, vision, and retirement plans
  • Flexible work arrangements and professional development budget
Reporting Structure

This role reports directly to the CEO and will be a member of the executive leadership team. The CRO will manage multiple VP-level leaders across Engineering, Research, Infrastructure, and Security.

Location

San Francisco, CA (HQ) with flexibility for hybrid/remote work arrangements. Regular travel required for conferences, team meetings, and partnership activities.

Details
  • Full time
  • Payment in USD [Open to discussion]
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