Senior Applied ML Engineer – LLMs & NLP

VersantEnglewood Cliffs, NJ
Hybrid

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 a Senior ML Engineer, working in a team of 15 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

  • 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.
  • 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
  • Solid understanding of modern ML techniques, including deep learning and representation learning
  • Experience contributing to system design and technical decision-making

Responsibilities

  • 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

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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