Staff ML Engineer, StockStory

Versant • Englewood Cliffs, NJ

8h • $140,000 - $165,000 • Onsite

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. 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. 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
• Sneak peeks
• Free shuttle transportation to and from multiple locations in Manhattan, Hoboken and Jersey City
• Health insurance
• Retirement plans
• Paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior