ML Engineer StockStory

Job Description

We're looking for a Staff ML Engineer to lead the design and delivery of large-scale, production AI systems that power core products. A genuine interest in investing, public markets, and fundamental business analysis is expected.

This role is for someone who combines deep machine learning expertise with strong software engineering and architectural judgment, and who is excited to solve ambiguous, high-leverage problems that shape both product capabilities and technical direction. You will work across teams to ensure our AI systems are reliable, scalable, and aligned with long-term product and infrastructure goals.

You will design and operate end-to-end ML systems spanning data pipelines, training workflows, inference services, evaluation, and monitoring, while helping define how AI is applied across the company. This role is especially well suited to engineers who want to pair hands‑on technical depth with cross‑functional influence and long‑term platform thinking.

This role sits within a small and growing, high‑caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, infrastructure, and modeling decisions while working closely with engineering and senior leadership in a highly collaborative, low‑bureaucracy environment with direct access to decision‑makers.

• 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

• 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, Type Script, 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 Tensor Flow or Py Torch
• Experience building human‑in‑the‑loop training or evaluation workflows

Hybrid – 3 days in office. At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities.

• Sweat it out – Free onsite fitness center with state-of-the-art equipment, plus daily group classes
• Eat up – Gourmet cafeteria with daily specials plus soup and salad bars
• Extras – Dry cleaning, shoe shining, and sneak peeks
• No car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City

VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candida tea

$140,000-$140,000 per year