1 day ago
Base Salary
$165k - $260k/yr
Responsibilities
- Collaborate with colleagues to build and apply large language models for production systems and applications.
- Write, test, and maintain production-quality software.
- Train, fine-tune, evaluate, and continuously improve LLMs using large amounts of high-quality data for financial NLP models.
- Own cross-team projects and provide technical leadership.
- Research developments in AI, NLP, and LLMs and incorporate relevant findings into models and methodologies.
- Represent Bloomberg at scientific and industry conferences and in open-source communities.
- Publish product and research findings in documentation, whitepapers, or academic venues.
Requirements
- Practical experience solving Natural Language Processing problems and familiarity with Machine Learning, Deep Learning, and Statistical Modeling techniques.
- Ph.D. in ML, NLP, or a relevant field, or an M.S. in Computer Science, ML, Mathematics, Statistics, Engineering, or a related field plus 2 or more years of relevant work experience.
- Experience with LLM training and fine-tuning frameworks such as PyTorch, Hugging Face, or DeepSpeed.
- Proficiency in software engineering and understanding of computer science fundamentals such as data structures and algorithms.
- A data-oriented approach to problem-solving and excellent communication and collaboration skills.
- A track record of authoring publications in top conferences and journals is preferred.
Benefits
- Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.
- The posting lists a salary range of $165,000–$260,000 annually plus benefits and bonus.
Tech Stack
Categories
About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through constant innovation. We collaborate broadly because we know that other perspectives matter. We put our customers first, as a guiding beacon. And we believe doing the right thing – by our people, our clients, and our communities – is the best thing for our business.