5 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 and financial research): Building production-grade machine learning systems, LLM workflows, and data infrastructure powering AI-driven equity research products with an accent on end-to-end applied ML, NLP, and model lifecycle management. Focus on designing scalable training and inference pipelines, evaluating and monitoring AI systems, and solving complex reliability and performance challenges for investor-facing products.
Location: Hybrid, 3 days in office at CNBC Headquarters in Englewood Cliffs, New Jersey
Salary: USD 140,000–175,000 per year
Company
is an independent publicly traded media company whose CNBC 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 AI platform infrastructure.
- Own end-to-end delivery of AI features across data pipelines, training workflows, inference, monitoring, and evaluation.
- Contribute to system architecture, technical standards, product and modeling decisions, and technical problem-solving.
- Improve model lifecycle management, monitoring, evaluation, reliability, and risk mitigation, including performance regressions and bias.
- Participate in code reviews and incident retrospectives, mentor peers, and support the team's technical growth.
- Collaborate with engineers, analysts, investors, and market professionals to develop AI systems for equity research and public-market analysis.
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, representation learning, neural networks, NLP techniques, and TensorFlow or PyTorch training pipelines.
Nice to have
- Experience building human-in-the-loop training or evaluation workflows.
- Interest in investing, public markets, and fundamental business analysis.
- Knowledge of functional programming or graph-based systems.
Culture & Benefits
- Small, high-ownership team with fast execution, autonomy, and limited bureaucracy.
- Direct access to senior leadership, experienced market professionals, and decision-makers.
- Free onsite fitness center with group classes.
- Gourmet cafeteria, dry cleaning, shoe shining, and other onsite amenities.
- Free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.
- Health insurance, retirement plans, paid time off, and additional benefits may be available.
Hiring process
- External candidates may be required to attend an in-person interview with a Media employee before a hiring decision.
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