Senior AI Systems Engineer

4 weeks ago

New York, New York, United States Bloomberg Full time

Bloomberg's Engineering AI department is a hub for innovation, with over 300 AI practitioners working on cutting-edge products and features.

We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases.

We are seeking highly skilled individuals to contribute to our team of Machine Learning and Software Engineers, who are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace.

We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.

Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

We are looking for Senior MLOps Engineers with strong expertise and passion for building and maintaining AI systems.

As a Senior MLOps Engineer, you will design and build tools to improve the efficiency of our Model Development Life Cycle (MDLC), automate ML processes, enhance the performance of our systems, and more.

Key responsibilities include:

  • Architecting, building, and diagnosing production AI applications and systems
  • Collaborating with colleagues on production systems and writing, testing, and maintaining production quality code
  • Defining and providing strong SLAs around latency, throughput, and resource usage
  • Working closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows

We are looking for a Senior MLOps engineer with:

  • 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
  • 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
  • An honest approach to problem-solving, and ability to collaborate with peers, stakeholders, and management
  • Industry experience with machine learning teams
  • Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed, etc.
  • Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc.
  • Experience with cloud providers such as AWS, GCP, or Azure
  • A track record of collaboration with colleagues to achieve repeatable high-quality outcomes

Bloomberg is an equal opportunity employer and we value diversity at our company.

We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability-inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process.

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