11 часов назад
Senior ML Engineer (AI Platform)
140 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Engineer (AI Platform) (LLMs, ML systems, equity research): Building production-grade AI platform components, LLM workflows, and machine learning systems that power equity research products for individual investors with an accent on data pipelines, model training, inference, evaluation, and monitoring. Focus on designing scalable ML infrastructure, solving complex applied NLP and financial reasoning problems, and improving reliability through lifecycle management and human-in-the-loop evaluation.
Location: Hybrid, 3 days in 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 StockStory business is building AI-powered equity research products for individual investors.
What you will do
- Design, build, and operate production-grade ML systems, LLM workflows, and supporting infrastructure.
- Deliver AI features end to end, including data pipelines, training workflows, inference, monitoring, and evaluation.
- Contribute to architecture, technical standards, product, engineering, and modeling decisions.
- Identify and mitigate AI-system risks such as performance regressions, bias, and operational issues.
- Improve model lifecycle management, monitoring, evaluation, reliability, and system quality.
- Participate in code reviews and incident retrospectives while mentoring peers and supporting technical growth.
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 and contributing to system design and technical decisions.
- Strong proficiency in Python, TypeScript, or Java.
- Experience with LLMs, ranking or recommendation systems, search, or applied NLP.
- Understanding of deep learning and representation learning, with experience using TensorFlow or PyTorch and building human-in-the-loop training or evaluation workflows.
Nice to have
- Experience with neural networks such as CNNs, RNNs, Transformers, or other deep learning architectures.
- Background in NLP techniques including tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction.
- Genuine interest in investing, public markets, and fundamental business analysis.
Culture & Benefits
- Small, high-ownership team with fast execution, room to experiment, and low bureaucracy.
- Direct collaboration with engineers, analysts, investors, senior leadership, and market professionals.
- Free onsite fitness center with group classes.
- Gourmet cafeteria with daily specials, soup, and salad bars.
- Dry cleaning, shoe shining, and free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.
Hiring process
- External candidates may be required to attend an in-person interview at a location before a hiring decision.
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