Senior Machine Learning Engineer - Artificial Intelligence

Bloomberg develops AI-driven products and solutions for search, discovery, workflow, and financial-market data analysis. The Senior Machine Learning Engineer will build and evaluate machine learning models, contribute production-quality code, lead cross-team projects, and communicate research and product findings through conferences, open-source communities, and publications.

Consulting

• Human Resources
• Recruiting
• Staffing Agency
• Insider Connection @Dice
• 2 email credits available today
• Beyond your network
• Kritika Rathore
• HR Manager
• From your previous company
• Find More Connections
• from your School

Responsibilities

• 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

Preferred

• A track record of authoring publications in top conferences and journals is a strong plus

Benefits

• Bonus
• Merit increases
• Incentive compensation (exempt roles only)
• Paid holidays
• Paid time off
• Medical benefits
• Dental benefits
• Vision benefits
• Short-term disability benefits
• Long-term disability benefits
• 401(k) with employer match
• Life insurance
• Various wellness programs
• Tech career marketplace connecting professionals with recruiters.
• Centennial, Colorado, USA
• https://www.or-quest.nl/
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Management and Executive
• Trends of Total Sponsorships
• *2022
• (2)
• 2021
• (4)
• 2020
• (5)
• Growth Stage
• Leadership Team

Qualifications

• 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

Required skills

• Computer Science Fundamentals, Data Structures and Algorithms, Deep Learning, Dense Vector Databases, Financial Markets, Gradient Boosted Decision Trees, Large Language Models (LLMs), Machine Learning, Machine Learning and Deep Learning Frameworks, Statistics

Experience

• 2+ years