Senior ML Engineer - AI Systems & Research Leader

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

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.