Senior Software Engineer - Artificial Intelligence

Bloomberg L.P.
New York, NY, United States
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$160,000.0 - $240,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence C++ (Programming Language) Data Structures Python (Programming Language) Object-Oriented Software Development Question Answering Information Technology Machine Learning Operations

Job description

Our engineers are responsible for architecting and implementing machine learning systems end-to-end, overcoming unique challenges that come with such systems in the financial domain. Some projects where we are looking for experienced software engineers include unified search, question answering, query parsing, financial instrument (e.g., fixed income) pricing, dialogue understanding.

Requirements

  • 7+ years of experience working with an object-oriented programming language (C/C++, Python, Java, etc.)
  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms
  • An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Disability insurance, * Collaborate with colleagues on production machine learning systems and applications
  • Design, experiment, and evaluate software systems
  • Write, test, and maintain production-quality code
  • Represent Bloomberg at conferences and open-source communities
  • Demonstrate technical leadership by owning cross-team projects
  • Build the libraries and frameworks that support fault tolerant and testable systems, Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus The referenced salary range is based on the Company’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

About the company

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.

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