O pozici
VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.
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.
Co budeš dělat
- 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.
- 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
Koho hledáme
- 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
- A genuine interest in investing, public markets, and fundamental business analysis is expected.
- What We're Look
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perience contributing to system design and technical decision-making
Benefity
- 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.
