2 months ago
Base Salary
$165k - $260k/yr
Responsibilities
- Collaborate with ML and software engineering colleagues on production systems.
- Write, test, and maintain production-quality code.
- Design, train, experiment with, and evaluate machine learning models, algorithms, and solutions.
- Own cross-team projects and provide technical leadership.
- Stay current with ML research and incorporate relevant 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 ML techniques.
- Ph.D. in machine learning, statistics, or a relevant field, or an MSc in computer science, machine learning, mathematics, statistics, engineering, or a related field with 2+ years of relevant work experience.
- Experience with machine learning and deep learning frameworks.
- Understanding of computer science fundamentals including data structures and algorithms.
- Data-oriented approach to problem-solving.
- Excellent communication and collaboration skills with engineering and non-engineering stakeholders.
- A publication record in top conferences and journals is preferred.
Benefits
- Annual salary range of $165,000–$260,000, 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.