Senior ML Engineer-AI PlatformVerified as a real position

Who we’re looking for

• Bachelor’s degree in Computer Science or equivalent practical experience
• Minimum of 8 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
• 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 you’ll do

• 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.
• 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

About the position

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. As a Senior ML 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. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets.

Benefits

• 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.