5 hours ago
Base Salary
$160k - $240k/yr
Responsibilities
- Architect, build, diagnose, test, and maintain production AI applications and systems.
- Build tools that improve the efficiency of the Model Development Life Cycle and automate ML processes.
- Define and provide SLAs for latency, throughput, and memory, disk, network, CPU, and GPU usage.
- Work with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows.
- Collaborate with ML and software engineering colleagues to deliver repeatable, high-quality production systems.
Requirements
- 4+ years of experience working with an object-oriented programming language such as Python or Go.
- A degree in Computer Science, Engineering, Mathematics, or a similar field, or equivalent work experience.
- Understanding of computer science fundamentals including data structures and algorithms.
- Industry experience working with machine learning teams.
- Working knowledge of ML frameworks such as PyTorch, ONNX, and DeepSpeed.
- Experience with cloud-native technologies such as Kubernetes, Argo Workflows, and Buildpacks.
- Experience with cloud providers such as AWS, GCP, or Azure.
- Ability to collaborate with peers, stakeholders, and management.
Benefits
- Salary range of 160,000 - 240,000 USD annually, 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 benefits, 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.
