Senior Machine Learning Engineer - Artificial Intelligence

Bloomberg; New York (NY); On-site; USD 165,000 - 260,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) + match

Life insurance

Job summary

Bloomberg’s Engineering AI department in New York seeks a Senior Machine Learning Engineer to contribute to AI-driven customer-facing products using transformers, gradient boosted trees, large language models, and dense vector databases. You will design, train, and evaluate models, own cross-team projects, and stay at the forefront of ML research while collaborating across teams.

The role requires a PhD or MSc with relevant experience, strong CS fundamentals, and excellent communication.

Qualifications

• Practical experience with solving ML problems and techniques.
• Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields with 2+ years of experience.
• Experience with machine learning and deep learning frameworks.
• Strong CS fundamentals and a data-oriented approach to problem-solving.
• Excellent communication and collaboration with engineering and non-engineering stakeholders.
• Publications in top conferences/journals is a strong plus.

Responsibilities

• Design, train, experiment, and evaluate ML models, algorithms, and solutions.
• Collaborate with colleagues on production systems and deliver production-quality code.
• Demonstrate technical leadership by owning cross-team projects.
• Stay current with the latest ML research and incorporate findings.
• Represent Bloomberg at scientific conferences and in open-source communities.
• Publish product and research findings in documentation, whitepapers, or publications.

Skills

ML experience

Communication skills

Publications

Education

PhD in ML/Statistics or MSc in CS/ML/Math/Statistics/Engineering

Tools

TensorFlow

PyTorch

Job description

Senior Machine Learning Engineer - Artificial Intelligence

Location

New York

Business Area

Engineering and CTO

Ref #

10053558

Description & Requirements

Bloomberg’s Engineering AI department has 450+ 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. Join the AI Group as a Senior ML Engineer and you will have the opportunity to:

• Collaborate with colleagues on production systems and write, test, and maintain production quality code
• Design, train, experiment, and evaluate ML models, algorithms and solutions
• Demonstrate technical leadership by owning cross-team projects
• Stay current with the latest research in ML 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 solving Machine Learning problems and techniques
• Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
• Experience with machine learning and deep learning frameworks
• 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

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai

Salary Range = 165,000-260,000 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.

• 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
• various wellness programs
• among others

The Company does not provide benefits directly to contingent workers/contractors and interns.

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