1 hour ago
Base Salary
$165k - $260k/yr
Responsibilities
- Collaborate with ML and software engineers on production systems and write, test, and maintain production-quality code.
- Design, train, experiment with, and evaluate machine learning models, algorithms, and solutions.
- Provide technical leadership by owning cross-team projects.
- Stay current with machine learning research and incorporate new findings into models and methodologies.
- Represent Bloomberg at scientific and industry conferences and in open-source communities.
- Publish product and research findings in documentation, whitepapers, or academic publications.
Requirements
- Practical experience solving machine learning problems and applying machine learning techniques.
- Ph.D. in ML, Statistics, or a relevant field, or an MSc in Computer Science, ML, Mathematics, Statistics, Engineering, or a related field plus 2+ years of relevant work experience.
- Experience with machine learning and deep learning frameworks.
- Understanding of computer science fundamentals such as data structures and algorithms, with a data-oriented approach to problem-solving.
- Excellent communication skills and ability to collaborate with engineering peers and non-engineering stakeholders.
- A track record of authoring publications in top conferences and journals is strongly preferred.
Benefits
- Annual base salary range of $165,000-$260,000 USD, plus benefits and bonus.
- Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability, 401(k) match, life insurance, and wellness programs.
Categories
About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through constant innovation. We collaborate broadly because we know that other perspectives matter. We put our customers first, as a guiding beacon. And we believe doing the right thing – by our people, our clients, and our communities – is the best thing for our business.