We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications.
As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:
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
We are looking for a Senior ML Platform Engineer with
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
We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai
Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include 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, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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