Note: The job is a remote job and is open to candidates in USA. Yahoo is an American web portal that provides a range of services including search and advertising solutions. They are seeking a motivated entry-level AI Engineer to join their AI & ML team, where the role involves designing and building scalable tools for data governance and integrating AI features into production systems.
Responsibilities
- Assist in building AI features: use Python, LLM APIs (OpenAI, Anthropic, etc.), vector embedding pipelines
- Support prompt engineering and RAG workflows: design, test, iterate prompt templates, integrate vector search
- Help build and maintain AI-model monitoring/observability dashboards: track model accuracy, latency, drift and work with backend engineers to integrate AI services into the product
- Participate in experimenting with AI workflows: multi-agent orchestration, model fine-tuning, system prompts
- Working through documents and conversations with colleagues to understand product requirements for new features
- Work closely with cross-functional teams to understand product and technical roadmaps, identifying potential impacts on system operability and proposing proactive solutions for Cloud environments
- Lead initiatives to enhance and optimize existing cloud infrastructure, drive improvements in scalability, efficiency, and resilience, and oversee large-scale projects related to cloud platforms, automation, and performance optimization
- Foster cross-functional collaboration between development, infrastructure, and operations teams to improve the overall performance, reliability, and security of services on the cloud
Skills
- A solid Computer Science foundation in data structures and algorithms, object-oriented programming, and modern software engineering practices from your achievement of obtaining a degree in CS or a similar engineering pursuit
- Proactive in staying updated with evolving AI trends and new LLM releases
- Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset
- Experience working with the latest Large Language Models (LLMs) and AI advancements, cloud native AI services like Sagemaker, VertexAI, LangChain, LlamaIndex, or other LLM-orchestration libraries
- The ability to use an object-oriented programming language like Java or C++, or scripting languages like Python or Perl, and Unix or Linux systems
- Knowledge of SQL and distributed query engines (e.g., Presto, Trino, Athena, BigQuery). Familiarity with data concepts such as joins, aggregation, projection, and explosion
- The ability to work with large-scale distributed systems
- Strong analytical and problem-solving skills with the ability to work effectively in a cross-functional, collaborative environment
- Willingness to engage productively with others in the industry
- The passion to build great products, work with great people and change the world
- Working knowledge of AWS and GCP cloud environments, including core data and compute services (e.g., EMR, MWAA, S3, Lambda, ECS, BigQuery, Dataproc)
- Experience with data pipeline orchestration tools and frameworks such as Oozie and Airflow
- Query Execution and Optimization: Designing and optimizing queries to run efficiently on platforms such as BigQuery, Hive, Pig, and Spark, ensuring high performance and scalability
- Familiarity with modern data architectures, including lakehouse and Medallion design patterns
- Understanding of data processing/data governance concepts
- Familiarity with AI-assisted engineering tools (e.g., Cursor, MCP, Copilot, agentic AI frameworks) and emerging AI/ML technologies that enhance data engineering productivity
- Experience working with IaC (eg. Terraform, Ansible)
- Experience working with Infrastructure as Code (IaC) tools, such as Terraform or CloudFormation, to automate and manage cloud infrastructure deployments and automations
- Familiarity & working experience with Kubernetes and container-based orchestration
Benefits
- Healthcare
- Great 401k
- Backup childcare
- Education stipends
- Much (much) more
Company Overview
Yahoo is a technology and media company that serves users through its portfolio of digital platforms, products, and services. It is a sub-organization of Verizon Media. It was founded in 1994, and is headquartered in Sunnyvale, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.yahoo.com.Company H1B Sponsorship
Yahoo has a track record of offering H1B sponsorships, with 197 in 2023, 646 in 2022, 381 in 2021, 463 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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