Job Description

Your mission

About StockStory

Index.dev is partnering with StockStory (CNBC / VERSANT) to hire a Senior AI Engineer in Prague.

VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine.

StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions.

We offer the best parts of a startup environment — small team, high ownership, fast execution, and room to experiment — with the backing and stability of VERSANT, an independent publicly traded media company.

As an AI engineer, you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage.

You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design.

The Role

We're looking for a highly capable Senior ML Engineer to join our team to build the next generation of AI-powered equity research.

This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations.

You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors.

This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers.

A genuine interest in investing, public markets, and fundamental business analysis is expected.

Your profile

What We're Looking For

• Bachelor's degree in Computer Science or equivalent practical experience

• 5+ years of experience in software engineering with a focus on machine learning or AI systems

• Experience building and operating production ML systems

• Strong proficiency in Python, TypeScript, or Java

• Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP

• Solid understanding of modern ML techniques, including deep learning and representation learning

• Experience contributing to system design and technical decision-making

What You'll Do

• Design, implement, and maintain production ML and AI systems used at scale

• Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring

• Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality

• Solve complex technical problems with moderate ambiguity and strong business impact

• Participate in code reviews and incident retrospectives to improve system quality and reliability

• Support the team's overall technical growth

• Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues

• Use and improve model lifecycle management, monitoring, and evaluation frameworks

Desirable Skills & Experience

• Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures

• Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction

• Experience with training pipelines using frameworks such as TensorFlow or PyTorch

• Experience building human-in-the-loop training or evaluation workflows

Location

Hybrid — 4 days on-site in Prague, Czech Republic / 1 day remote.