Arva AI (YC S24) 正在招聘人工智能研究工程师(英国伦敦)
Arva AI (YC S24) Is Hiring an AI Research Engineer (London, UK)

原始链接: https://www.arva.ai/careers/ai-research-engineer

## Arva AI – AI 研究工程师 职位简介 Arva AI 是一家快速发展的初创公司,正在革新金融犯罪情报领域。现寻求一名 AI 研究工程师加入位于伦敦的团队(每周到岗 4-5 天)。公司提供签证支持。 该职位专注于构建和改进其合规平台中的 AI 驱动功能,利用大型语言模型 (LLMs)、智能体和计算机视觉技术来自动化反洗钱 (AML) 审查,并将运营成本降低高达 80%。 主要职责包括:开发和评估 AI 功能、构建自动化测试系统(评估、提示词优化、微调)以及探索新的 AI 应用。理想的候选人应具备 3 年以上 AI 研究/工程经验,精通提示工程和模型微调(具备视觉模型经验更佳),并拥有以产品为导向的思维模式。 Arva AI 倡导主人翁精神、透明度和客户至上的企业文化,提供具有竞争力的薪资、股权和灵活的工作选择。他们正在寻找一位积极主动、善于协作的个人,渴望为打击金融犯罪的尖端解决方案做出贡献。

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原文

Location: In person, Central London, 4-5 days in office

Type: Full-Time

NB: We are able to sponsor visas

Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML reviews, while cutting operational costs by 80%.

As the AI Research Engineer, you’ll play a pivotal role in building and iterating on LLM-based and agentic features of our AI-powered compliance platform such as document fraud detection and web due diligence. You will also develop systems to automate the testing and improvement of our solution such as evals, prompt optimisation, and fine-tuning models.

About the Role

As an AI Research Engineer, you will:

  • Build and maintain LLM-based and agentic product features, including rigorous evaluation, benchmarking and backtesting.

  • Create systems that can improve over time based on feedback from humans in the loop, such as prompt optimisation and fine-tuning.s

  • Explore applications of the latest developments of AI to enhance our product features, explainability, speed and accuracy.

What You’ll Do

  • AI features: Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans.

  • Evals: Build benchmarks, evaluate backtests and analyse results to quantify our performance and prevent regressions.

  • MLOps: Ensure that we maintain good practices around collecting and managing datasets, backtests and benchmarks to to maximise development velocity

  • Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs.

  • Model Fine-Tuning: Adapt and fine-tune large language models and vision models for specific use cases.

  • Custom Model Training: Train and deploy bespoke AI models tailored to solve unique compliance challenges.

  • Collaboration: Work closely with the engineering and product teams to translate customer needs into actionable AI solutions.

  • Iterate: Continuously iterate on our AI systems to improve performance, reduce errors, and deliver value to customers.

Our Culture

1. Own With Urgency

As a startup, delivering value quickly is our superpower. We achieve this by valuing speed and ownership over perfection. We're not afraid to get our hands dirty, experiment, and iterate quickly to achieve our goals, and completely own the outcome.

2. Transparency

We believe in open communication and full visibility across teams and roles. Decisions, successes, and failures are shared openly to foster trust and collaboration.

3. Customer First, Team Second, Self Last

Our priority is creating value for our customers. We then focus on building a supportive, growth-oriented team environment, putting individual needs last to ensure collective success.

What We’re Looking For

  • Experience: 3+ years in an AI research or engineering role, with experience building and testing agentic systems.

  • Technical Expertise: Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models, including vision models. Experience using TypeScript a plus.

  • Product Mindset: Strong understanding of how AI can solve real-world problems, with a focus on customer needs.

  • Interests: Ability to stay updated with the latest advancements in AI and apply them effectively.

  • Collaboration: Excellent communication skills to work across teams and explain complex AI concepts to non-technical stakeholders.

  • Ownership: A proactive, problem-solving mindset with the ability to take full responsibility for projects and outcomes.

  • Growth-Oriented: Excited to learn new skills, tackle challenges, and adapt as the company scales.

Why Join Us?

  • Be part of an early-stage startup with significant ownership and influence over the AI strategy.

  • Work on cutting-edge AI technologies that transform how businesses operate.

  • Collaborate with a passionate, mission-driven team dedicated to innovation.

  • Work from anywhere in the world for 4 weeks a year, in addition to regular team off-sites.

  • Competitive salary and equity package, with bi-annual salary review and yearly performance based equity refresh.

Ready to Join the Fight Against Financial Crime?

If you’re excited to shape the future of compliance with state-of-the-art AI solutions, we’d love to hear from you. Apply now to become an Arvanaut as our AI Research Engineer.

联系我们 contact @ memedata.com