Applied Machine Learning Scientist Intern (AI)

TL;DR

Applied Machine Learning Scientist Intern (AI): Building and optimizing predictive models and data-driven insights for hirify.global's Data Analytics Team with an accent on data manipulation, exploratory data analysis, and machine learning algorithm application. Focus on solving business challenges through data science, developing visualizations, and supporting model deployment in production environments.

Location: Onsite in Santa Clara, CA. This position requires eligibility to access export-controlled information under U.S. export control laws and regulations, with applicants potentially subject to an export license review process prior to employment.

Salary: $4,160–$8,160 per month

Company

hirify.global is a semiconductor solutions company driving data infrastructure innovation across enterprise, cloud, AI, automotive, and carrier architectures.

What you will do

• Collaborate with the data science team to gather, clean, and preprocess data from various sources.
• Perform exploratory data analysis to identify patterns, trends, and relationships within large datasets.
• Assist in building and optimizing machine learning models to solve business problems.
• Develop data visualizations, dashboards, and reports using tools like Power BI or Python libraries.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Work with large-scale data sets using SQL and Python, supporting data integration and ETL processes within Snowflake or Databricks environments.

Requirements

• Pursuing a degree in Computer Science, Data Science, or a related field.
• Proficiency in Python for data analysis, including libraries like pandas, NumPy, scikit-learn, and matplotlib.
• Knowledge of SQL for querying databases.
• Understanding of basic statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
• Familiarity with data visualization tools such as Power BI or Python-based visualization libraries (e.g., seaborn, Plotly).
• Proficiency in data preprocessing, data transformation, and exploratory data analysis (EDA).
• Work authorization for the U.S. is required; applicants may be subject to an export license review process prior to employment.

Nice to have

• Familiarity with Generative AI and Large Language Models (LLMs).

Culture & Benefits

• Medical, dental, and vision coverage.
• Perks and discount programs.
• Wellness & mental health support including coaching and therapy.
• Paid holidays, paid volunteer days, and paid sick time.
• Additional compensation may be available for PhD candidates.

Hiring process

• Candidates are asked not to use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews.
• Interviews are designed to assess personal experience, thought process, and communication skills in real-time.
• Use of such tools during an interview will result in disqualification from the hiring process.