VP of Research – Machine Learning

🕒 February 11

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

BJAK

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛍️ eCommerce

🏪 Marketplace

eCommerce • Insurance • Marketplace

BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.

📋 Description

• Own the research and intelligence direction of this system. • Define how AI reasons, evaluates, and improves in a product used with high frequency. • Set and evolve the research direction for A1’s core intelligence, including context representation, memory, reasoning, planning, and orchestration. • Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models. • Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior – not benchmark vanity. • Own alignment, safety, and guardrail strategy as first-class product concerns. • Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal systems. • Shape early product intelligence direction in close partnership with product and application engineering. • Set the technical bar for research rigor, judgment, and taste across the organization.

🎯 Requirements

• Deep experience building or evolving real machine learning systems used in production. • Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs. • A builder’s mindset: you care about systems that work in the real world, not just ideas. • Comfortable making irreversible or high-impact decisions with incomplete information. • Obsession with evaluation, correctness, and how systems behave over time. • High ownership mentality — you operate as a founder, not a manager. • If you are looking to focus primarily on publishing, incremental benchmarks, or managing a large research organization, this role will not be a fit.