Staff ML Engineer, StockStory
About The Position
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. 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.
Requirements
- Bachelor’s degree in Computer Science or equivalent practical experience
- Minimum of 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
- Deep understanding of modern ML techniques, including deep learning and representation learning
- Demonstrated ability to lead technical initiatives across teams
- Ability to proactively share ML knowledge and best practices, fostering a collaborative and non-siloed engineering culture
- Prior experience leading or founding an AI systems team
- 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 large-scale training pipelines using frameworks such as TensorFlow or PyTorch
- Experience building human-in-the-loop training or evaluation workflows
Responsibilities
- Lead the architecture and implementation of production ML and AI systems used at scale
- Drive technical strategy for AI across multiple product areas
- Design end-to-end systems including data pipelines, training workflows, inference services, evaluation, and monitoring
- Own and deliver high-impact projects with significant ambiguity
- Provide technical leadership through design reviews, mentorship, and cross-team collaboration
- Identify and mitigate systemic risks in AI systems, including performance regressions, bias, and operational failure modes
- Guide model lifecycle management, monitoring, and evaluation practices
Benefits
- Free onsite fitness center with state-of-the-art equipment, plus daily group classes
- Gourmet cafeteria with daily specials plus soup and salad bars
- Dry cleaning, shoe shining and sneak peeks
- Free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City
- Health insurance
- Retirement plans
- Paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
