Senior ML Engineer-AI Platform

Responsibilities

• 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.
• 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
• 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.

Requirements

• 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
• As part of our selection process, external candidates may be required to attend a

Benefits

Additional Information

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

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