2 дня назад
Senior Applied ML Engineer (LLMs & NLP)
140 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied ML Engineer (LLMs & NLP): Building production-grade ML systems, LLM workflows, and AI-powered equity research products with an accent on large-scale data systems, financial reasoning, and NLP. Focus on designing end-to-end model pipelines, improving inference and evaluation, and operating reliable AI systems used by individual investors.
Location: Hybrid, with 3 days per week in the office at CNBC Headquarters in Englewood Cliffs, New Jersey.
Salary: USD 140,000–175,000 yearly.
Company
is an independent publicly traded media company whose CNBC business is developing AI-powered equity research products for individual investors.
What you will do
- Design, build, and operate production ML systems, LLM workflows, and platform infrastructure.
- Own AI feature delivery across data pipelines, training workflows, inference, monitoring, and evaluation.
- Contribute to architecture, technical standards, modeling decisions, and system design.
- Identify and mitigate performance regressions, bias, operational risks, and reliability issues in AI systems.
- Participate in code reviews and incident retrospectives while mentoring peers and supporting technical growth.
- Work with engineers, analysts, investors, and senior leadership to build 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, applied NLP, ranking or recommendation systems, or search.
- Knowledge of deep learning, representation learning, neural networks, model training, and human-in-the-loop evaluation workflows.
Nice to have
- Experience with TensorFlow or PyTorch training pipelines.
- Experience with CNNs, RNNs, Transformers, tokenization, sequence labeling, embeddings, text classification, or information extraction.
- Interest in investing, public markets, and fundamental business analysis.
Culture & Benefits
- Small, high-ownership team with fast execution, autonomy, and limited bureaucracy.
- Direct access to senior leadership, market professionals, analysts, and former hedge fund managers.
- Free onsite fitness center, group classes, and gourmet cafeteria.
- Free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.
- Employee benefits may include 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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