We are building a reliable and scalable AI-powered platform that allows US companies to put regulatory compliance on autopilot. At its core, Myriad is an engineering-driven company, founded by individuals with robust technical backgrounds, forged in Silicon Valley and molded by necessity. Myriad's software engineers are at the forefront of developing next-generation technologies that revolutionize the way enterprises manage their compliance. We employ individuals with a diverse range of technical abilities who are eager to address some of the most challenging issues in technology and create a significant impact on users worldwide. Our engineering and legal engineering teams come from reputable companies:
❓Why compliance?
Compliance isn’t just about regulations and checkboxes—it’s the foundation of trust, stability, and ethical progress in our global economy. It safeguards financial systems from fraud, protects consumers from exploitation, and ensures businesses operate with integrity. In fintech, compliance is a catalyst for innovation. It enables secure digital transactions, prevents money laundering, and fosters financial inclusion by ensuring that emerging technologies remain safe and accountable. From AI-driven risk monitoring to real-time fraud detection, compliance empowers businesses to scale responsibly while protecting society from financial crime. At its core, compliance is —paving the way for a more transparent and ethical financial future. It’s not just a regulatory requirement; it’s a force for good, shaping a world where businesses thrive while protecting people and institutions alike. 💸 We are backed with several years of runway - (Long Journey VC)and (Github founder) invested in us, just to name a few... Read more about us on cc.cz and hn.cz
about fairness, security, and trust
by top US and EU venture capital
Arielle Zuckerberg
Tom Preston-Werner
🤗 What we offer
You can be a part of the core engineering team of a newly created and VC-backed startup
Silicon Valley-style company => stock options and/or RSUs! - Steep career growth opportunities through continuous growth and our Silicon Valley pedigree
Technical Founders (experience from Google, Google X - The Moonshot Factory, Amazon, BMW, Airbnb, Dropbox, NVIDIA)
Competitive salary and benefits
Prague and San Francisco offices, we are a multi-homed company with a hybrid approach to work (biz travel to Silicon Valley)
Paid Time Off (Vacation, Sick & Public Holidays)
Flat hierarchies and open feedback culture
Ralf and Jan, Myriad AI founders. 🎉 About You
You contribute fresh perspectives in a variety of domains, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, and natural language processing
You know how to design, develop testing, deploy, maintain, and enhance software solutions
You are comfortable managing project priorities, deadlines, and deliverables, and demonstrate leadership capabilities
You are eager to address some of the most challenging issues in technology and create a significant impact on users worldwide
You love being mission driven and want to join an early stage Silicon Valley based startup
👨🔬 About the role
As the Senior AI Engineer, you will play a pivotal role in shaping the AI strategy and architecture of our cutting-edge fintech compliance platform.. In this role, you’ll design and deploy scalable machine learning models, oversee model governance and explainability, and work closely with cross-functional teams to integrate AI seamlessly into our platform. You’ll also set technical direction, mentor a growing AI team, and ensure our AI solutions meet the highest industry standards for accuracy, fairness, and compliance. This is an opportunity to lead AI innovation in compliance, solving complex challenges with cutting-edge techniques in NLP, anomaly detection, and automated reporting. If you're passionate about AI’s role in transforming financial security and compliance, we’d love to hear from you! 👨🔬 In this role you will
Help design AI Strategy & Development – Define and drive the AI roadmap for our compliance platform
Ensure Model Explainability & Compliance – Develop transparent and interpretable AI solutions that meet regulatory standards
Collaborate Cross-Functionally – Work with engineers, data scientists, and compliance experts to integrate AI into the platform
Optimize AI Performance – Improve model accuracy, efficiency, and scalability in a high-stakes financial environment
Stay Ahead of AI Trends – Research and implement the latest advancements in AI, NLP, and anomaly detection
Mentor & Guide the Team – Be the lead and mentor a growing AI team, fostering a culture of innovation and excellence
Drive AI Governance & Ethics – Establish best practices for bias mitigation, model validation, and responsible AI use
📖 Minimum qualifications
Bachelor’s degree or equivalent practical experience
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting
2 years of experience with data structures or algorithms in either an academic or industry setting
2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing
📖 Preferred qualifications
Master's degree or PhD in Computer Science or related technical field
3 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging
3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing
Proficiency in code and system health, diagnosis and resolution, and software test engineering
2 years of experience with LLMs and training
❗ Important ❗
Before applying for this position please check out the following questionnaire and make sure that you are comfortable answering these questions without using of any external sources (feel free to submit the answers too). You will be tested on both your theoretical and your practical knowledge of ML/AI, LLMs. Note 1: previous work references might be required. Note 2: ChatGPT-generated applications will be automatically rejected.
