Senior ML Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior ML Engineer (AI): Building production-grade machine learning systems, LLM workflows, and AI-powered equity research products for individual investors with an accent on applied ML, large-scale data systems, and financial reasoning. Focus on designing end-to-end model pipelines, improving inference and evaluation, and operating reliable AI systems at scale.
Location: Hybrid, with 3 days per week in the office at CNBC Headquarters in Englewood Cliffs, New Jersey, USA.
Salary: USD 140,000–175,000 per year
Company
is a publicly traded media and technology company whose StockStory business is building AI-powered equity research tools for individual investors.
What you will do
- Design, build, and operate production ML systems, LLM workflows, and supporting infrastructure.
- Deliver AI features end to end, from data pipelines and training workflows through inference, monitoring, and evaluation.
- Contribute to architecture, technical standards, and core product and modeling decisions.
- Identify and mitigate performance, bias, reliability, and operational risks in AI systems.
- Participate in code reviews and incident retrospectives while mentoring peers and supporting technical growth.
- Collaborate with engineers, analysts, investors, and senior leadership on AI products for public-market research.
Requirements
- Bachelor’s degree in Computer Science or equivalent practical experience.
- At least 5 years of software engineering experience focused on machine learning or AI systems.
- Experience building and operating production ML systems at scale.
- Strong proficiency in Python, TypeScript, or Java.
- Experience with LLMs, ranking or recommendation systems, search, applied NLP, deep learning, and representation learning.
- Experience with system design, technical decision-making, and ML training frameworks such as TensorFlow or PyTorch.
Culture & Benefits
- Small, high-ownership team with fast execution, low bureaucracy, and room to experiment.
- Direct access to experienced market professionals, senior leadership, and decision-makers.
- Free onsite fitness center, group classes, and gourmet cafeteria.
- Dry cleaning, shoe shining, and free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.
- Health insurance, retirement plans, and paid time off.
Hiring process
- External candidates may be required to attend an in-person interview at a location before a hiring decision.
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