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BJAK

Company

1 day ago

机器学习工程师(大语言模型)Machine Learning Engineer (LLM)

Remote Position
Full-time

Job Description

将语言模型转化为现实应用

我们正在为全球用户构建 AI 系统。当前正处于 AI 转型的时代 —— 本项目团队将专注于构建能够实现更大现实世界影响和广泛使用的 AI 应用。

这是一个全球性岗位,采用混合办公模式 —— 灵活的远程办公与总部现场协作相结合。你将与产品、工程、运营、基础设施和数据等地区团队紧密合作,共同构建并扩展具有影响力的 AI 解决方案。

为什么这个职位重要

你将对最前沿的模型进行微调、设计评估框架,并推动 AI 功能上线至生产环境。你的工作将确保我们的模型不仅智能,还具备安全性、可信度,并能够大规模产生影响。

你的职责

  • 模型微调与优化 — 使用 LoRA/QLoRA 优化开源模型(如 LLaMA、Mistral、Gemma)

  • 提示工程与数据构建 — 设计体现品牌语气、语调和安全性的提示词与数据集

  • 模型评估 — 构建困惑度、毒性、相关性等指标评估流程,确保输出质量与安全性

  • 部署与监控 — 将模型部署至生产环境,进行性能优化与偏移监控

  • 协作交付 — 与产品、工程与设计团队协作,共同推出面向用户的 AI 功能

你是这样的人

  • 喜欢独立拥有项目主导权

  • 相信“清晰来自于行动” — 擅长快速原型、测试与迭代,而非等待完美计划

  • 在创业混乱环境中保持冷静与执行力 —— 面对变化优先级和从零开始的挑战能快速适应

  • 崇尚速度优先 — 认为“及时交付有价值的成果”比“完美但延迟交付”更重要

  • 将反馈和失败视为成长的一部分 —— 期待通过挑战不断升级自身能力

  • 拥有谦逊、进取与实干精神,同时愿意帮助他人成长

任职要求

  • 在 Transformers、深度学习和微调方法(如 LoRA/QLoRA、SFT、蒸馏)方面有丰富经验

  • 熟练掌握 PyTorch(优先)或 TensorFlow

  • 精通提示工程与数据集构建,能确保内容与语气、安全性、可信度一致

  • 熟悉各类评估指标,如困惑度、毒性、相关性

  • 具备良好的软件工程基础,包括算法、数据结构和规范代码实践

加分项

  • 有文本生成、内容审核或个性化推荐的相关经验

  • 有使用 RLHF(人类反馈强化学习)或 LLM 强化学习经验

  • 有参与开源机器学习项目的经历

你将获得

  • 扁平化结构与真正的项目所有权

  • 全面参与产品方向与共识式决策

  • 灵活的办公方式

  • 高影响力岗位,覆盖产品、数据与工程团队

  • 市场顶尖的薪酬方案与绩效奖金

  • 全球化产品开发视野

  • 丰厚福利 —— 住房租赁补贴、高质量公司餐厅、加班餐补

  • 健康、牙科与视力保险

  • 全球旅行保险(适用于你和家属)

  • 无限制、灵活的休假制度

团队与文化

我们是一支高密度、高绩效的团队,专注于高质量成果与全球影响。我们像主人一样思考与行动,重视速度、清晰与持续的责任感。如果你渴望成长、追求卓越,我们欢迎你加入。

关于 BJAK

BJAK 是东南亚最大的保险聚合平台,拥有超 800 万用户,且公司完全由员工持股。总部设在马来西亚,并在泰国、台湾和日本开展业务。通过 Bjak.com,我们帮助数百万用户获得透明且可负担的金融保障。

我们通过 API、自动化和 AI 等尖端技术,简化复杂的金融产品,致力于构建下一代智能金融系统。

如果你渴望构建现实世界的 AI 系统,并在高影响力的环境中快速成长,欢迎加入我们!

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Transform Language Models into Real-World Applications

We’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world.

This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.

Why This Role Matters

You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

What You’ll Do

  • Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)

  • Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.

  • Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.

  • Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.

  • Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.

What Is It Like

  • Likes ownership and independence

  • Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.

  • Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.

  • Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.

  • See feedback and failure as part of growth - you’re here to level up.

  • Possess humility, hunger, and hustle, and lift others up as you go.

Requirements

  • Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).

  • Proficiency with PyTorch (preferred) or TensorFlow.

  • Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.

  • Familiar with evaluation metrics: perplexity, toxicity, relevance.

  • Strong software engineering foundations in algorithms, data structures, and clean code practices.

Nice to Have

  • Prior work in text generation, moderation, or personalization.

  • Experience with RLHF or reinforcement learning in LLMs.

  • Contributions to open-source ML projects.

What You’ll Get

  • Flat structure & real ownership

  • Full involvement in direction and consensus decision making

  • Flexibility in work arrangement

  • High-impact role with visibility across product, data, and engineering

  • Top-of-market compensation and performance-based bonuses

  • Global exposure to product development

  • Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals

  • Health, dental & vision insurance

  • Global travel insurance (for you & your dependents)

  • Unlimited, flexible time off

Our Team & Culture

We’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.

About Bjak

BJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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