
Global leader in business and financial data and analytics
Senior NLP Research Engineer Artificial Intelligence
必备技能
Machine Learning
Bloomberg’s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior NLP Engineers with a strong expertise and passion for Natural Language Processing research and applications to join our team.
Natural Language Processing (NLP) methods are used to process collections of unstructured and semi-structured texts in order to extract semantic meaning, enhance the quality of the data and derive actionable insights and analytics.
Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation mining, dialogue systems, semantic parsing, question answering or sentence representations.
You'll have the opportunity to:
- Collaborate with colleagues on production systems and write, test, and maintain production quality code
- Design, train, experiment, and evaluate NLP models, algorithms and solutions
- Demonstrate technical leadership by owning cross-team projects
- Stay current with the latest research in NLP and incorporate new findings into our models and methodologies
- Represent Bloomberg at scientific and industry conference and in open-source communities
- Publish product and research findings in documentation, whitepapers or publications to leading academic venues
You'll need to have:
- Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
- Ph.D. in ML, NLP or a relevant field and 2+ years of relevant work experience or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 5+ years of relevant work experience
- An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
- Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
- A track record of authoring publications in top conferences and journals is a strong plus
- Experience with deep learning frameworks such as Py Torch
- Proficiency in software engineering
Salary Range = 165000 - 260000 USD Annually + Benefits + Bonus
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关于Bloomberg

Bloomberg
PublicBloomberg L.P. is an American privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was co-founded by Michael Bloomberg in 1981, with Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch.
10,001+
员工数
Midtown Manhattan
总部位置
评价
15条评价
4.0
15条评价
工作生活平衡
4.2
薪酬
4.5
企业文化
3.2
职业发展
3.0
管理层
2.8
65%
推荐率
优点
High compensation and competitive total compensation
Good work-life balance
Company stability and job security
缺点
Slow career progression and promotion speed
Management issues and micromanagement
Limited remote work flexibility
薪资范围
2,046个数据点
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
L3
L4
L5
Junior/L3 · Data Reporter
2份报告
$73,178
年薪总额
基本工资
$81,557
股票
-
奖金
-
$73,178
$73,178
面试评价
3条评价
难度
3.3
/ 5
时长
14-28周
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Virtual Onsite/Superday
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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