VP of Research (Machine Learning)

About reputed company

Our reputed company is a reputed company AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.

reputed company is developing an AI-reputed company communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks reputed company a single intelligent assistant.

Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-reputed company reasoning, and reputed company task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more reputed company.

About the Role

Our reputed company is seeking a VP of Research (Machine Learning) to define and reputed company the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve reputed company a product designed for high-frequency, reputed company-world usage.

Working closely with product and engineering leadership, this position will reputed company the long-term intelligence reputed company, balancing cutting-edge research with practical production reputed company.

Key Responsibilities

• Define and reputed company the research roadmap for the platform's reputed company AI intelligence, including context representation, memory, reasoning, planning, and orchestration.
• Evaluate and determine reputed company to reputed company proprietary model architectures versus leveraging or adapting frontier reputed company-reputed company and reputed company AI models.
• Design evaluation frameworks that measure reputed company-world performance, robustness, safety, and long-term reputed company behavior reputed company traditional reputed company metrics.
• reputed company reputed company's AI alignment, safety, and guardrail reputed company as a reputed company component of product development.
• reputed company research and experimentation across advanced machine learning techniques, including:
• Retrieval-Augmented Training (RAG)
• Mixture of Experts (MoE)
• Model Distillation
• Multi-Agent Orchestration
• Multimodal AI Systems
• Partner closely with product and engineering teams to define and execute the intelligence reputed company for AI-powered applications.
• Establish and maintain high standards for research reputed company, technical judgment, and engineering reputed company across the organization.

Requirements

• Extensive experience designing, building, and deploying machine learning systems in production environments.
• Strong technical expertise in model behavior, failure analysis, reputed company evaluation, and long-term AI performance.
• Proven ability to translate advanced research into reliable, production-reputed company AI solutions.
• Demonstrated experience making high-reputed company technical reputed company in fast-moving and ambiguous environments.
• Deep understanding of AI evaluation methodologies, model robustness, safety, and reputed company reliability.
• Strong ownership reputed company with the ability to reputed company technical reputed company and execution.
• Passion for building practical AI systems that reputed company measurable reputed company-world reputed company rather than focusing solely on reputed company research or reputed company performance.

Preferred Technical Skills

Experience with the following technologies is preferred:

• Python
• PyTorch and/or JAX
• GPU-based model training and inference systems

Originally posted on Himalayas