Founding AI/ML Research Engineer

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BJAK

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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.

51 - 200 employees

🛍️ eCommerce

🏪 Marketplace

📋 Description

• Fine-tune and adapt models as needed while also designing new model architectures and training pipelines from scratch • Design and curate datasets, craft prompts, and experiment with alignment and safety strategies for high-quality outputs. • Build evaluation pipelines for model performance, safety, and alignment, and innovate on new metrics for real-world impact. • Ship models to production, optimise for latency and scale, and monitor drift or degradation • Collaborate with product, engineering, and design to launch polished, user-facing AI features • Explore new modeling approaches, optimisation methods, and product use cases

🎯 Requirements

• Strong experience with transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation) • Proficiency in PyTorch (preferred) or TensorFlow • Experience in prompt engineering and dataset creation for alignment, tone, trust, and safety • Familiarity with evaluation methods: perplexity, toxicity, relevance, robustness • Solid software engineering fundamentals — algorithms, data structures, clean code • Ability to operate in a fast, lean, and high-ownership environment • Nice to Have • Experience with text generation, moderation, ranking, or personalisation • Exposure to RLHF or reinforcement learning for LLMs • Contributions to open-source ML projects • Background in consumer-facing AI products or high-growth startups

🏖️ Benefits

• High ownership and autonomy from day one • Direct involvement in technical direction and product decisions • Remote-first flexibility • A high-impact role with visibility across ML, engineering, and product • Competitive compensation and performance-based bonuses • Backing of a profitable US$2B group, with the speed of a startup • Insurance coverage, flexible time off, and global travel insurance • Opportunity to shape a new global AI product from zero