AI and Machine Learning Engineer I Graduate

The AI and Machine Learning Engineer I Graduate role at Hewlett Packard Enterprise is an onsite position in San Jose, CA focused on building AI/ML products and delivering data-driven solutions. The work spans data ingestion and data engineering, pipeline development, and applying machine learning and statistical modeling to improve product and system performance.

Responsibilities

• Collaborate with cross-functional teams to surface opportunities for data-driven improvements and convert business needs into technical solutions.
• Ingest and integrate data from both structured and unstructured enterprise systems, including Databricks and IT data platforms.
• Design and build curated data models and analytical layers that enable reporting and downstream analytics.
• Develop, optimize, and maintain pipelines using SQL, Python, and orchestration tools.
• Clean, transform, and prepare datasets so they are reliable for business consumption.
• Maintain data quality and observability across pipelines, workflows, and storage layers.
• Integrate new data sources, APIs, and event streams into the platform.
• Create data documentation and communicate technical concepts to non-technical stakeholders.
• Stay current with modern data engineering tools, cloud technologies, and best practices.

Required Qualifications

• Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline.
• Master’s degree is desirable.
• Typically 0-2 years’ experience.
• Programming proficiency in Python, R, or Java.
• Highly beneficial: knowledge of AI/ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistics, probability, linear algebra, calculus, and optimization methods for building and evaluating machine learning models.
• In-depth knowledge of machine learning algorithms and concepts, including supervised and unsupervised learning, deep learning, neural networks, reinforcement learning, and natural language processing.
• Experience working with large datasets, including data pre-processing, data cleaning, and exploratory data analysis.
• Required: SQL and database experience, plus data visualization tools such as Matplotlib or Tableau.

Technologies

• Python
• R
• Java
• TensorFlow
• PyTorch
• scikit-learn
• SQL
• Databricks
• Matplotlib
• Tableau

Location and Salary

Location: San Jose, CA (onsite).
Salary: USD 92,700 - 187,800 per yearly.

Benefits

• Health & Wellbeing: comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
• Personal & Professional Development: programs designed to help reach career goals.
• Unconditional Inclusion: flexibility to manage work and personal needs.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you require accommodation during any stage of the application or interview process, submit your request by completing the secure form linked here. This option is reserved for applicants needing assistance or reasonable accommodation related to a disability.

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• Legitimate job opportunities come through official company channels. Candidates are responsible for verifying the credentials of any third party claiming to represent the company.