Senior ML Platform Engineer - Artificial Intelligence

Bloomberg Television is seeking a Senior ML Platform Engineer to join their Engineering AI department, which consists of over 400 AI practitioners. The role involves architecting and building multi-tenant AI platform systems, collaborating with AI application teams, and enhancing the AI development life cycle.

Responsibilities

• Architect, build, and diagnose multi-tenant AI platform systems
• Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring
• Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms
• Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience
• Design CI/CD automation frameworks that incorporate regulatory requirements
• Develop cloud-native deployment patterns for AI systems across environments
• Troubleshoot and debug user issues
• Provide operational and user-facing documentation

Benefits

• 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

Company

• Breaking news. In-depth analysis. Market-moving scoops. Exclusive interviews.
• New York, NY, US
• https://www.bloomberg.com/live/us
• 5001-10000 employees

Qualifications

• 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
• Experience designing cloud-native, distributed platforms
• Strong knowledge of Kubernetes, Argo, and container orchestration technologies
• Previous experience with modern CI/CD tools and GitOps workflows
• Familiarity with implementing automation for model development lifecycles
• A proactive mentality and ability to collaborate with peers, stakeholders, and management
• A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
• An understanding of Computer Science fundamentals such as data structures and algorithms

Required skills

• Algorithms, Argo, Automation for model development lifecycle, CI/CD tools, Cloud-native platform design, Container orchestration, Data structures, GitOps workflows, Go, Kubernetes, Python

Experience

• 4+ years