Data & AI/ML Intern

About Seurat

Seurat is transforming manufacturing for people and our planet by delivering a scalable additive manufacturing solution to fundamentally change how products are made. Seurat’s proprietary Area Printing process, developed at Lawrence Livermore National Labs (LLNL), allows metal components to be manufactured at price points and quality levels that compete directly with conventional manufacturing techniques, enabling the reshoring of supply chains and promoting the decarbonization of industry. Seurat has raised over $180M and is backed by leading venture partners like Capricorn, NVentures (NVIDIA), True Ventures, General Motors Ventures, Denso, Porsche SE, SIP global partners, Honda, Xerox Ventures/Myriad Venture Partners, Cubit Capital, Siemens Energy, and Maniv Mobility.

Position Overview:

Seurat Technologies is looking for a highly motivated summer intern to join our Data & AI/ML team. This internship offers a unique opportunity to gain hands-on experience in a fast-paced, innovative environment, working on real-world problems related to advanced manufacturing. You will contribute to projects aimed at improving machine performance and process optimization through data analysis, scripting, and tool development.

Key Responsibilities:

• Data Organization & Engineering:
• Assist in organizing and structuring large datasets of machine and process data.
• Develop and implement data cleaning and preprocessing pipelines.
• Contribute to the design and implementation of data storage solutions.
• Scripting & Tool Development for Data Pipelines:
• Write Python scripts to automate data extraction, transformation, and loading (ETL) processes.
• Develop tools for data visualization and reporting.
• Contribute to the development of robust and scalable data pipelines.
• Tool Development for Human Dataset Labeling:
• Design and implement tools for collecting, storing, and validating human-labeled datasets.
• Develop user interfaces for efficient data labeling.
• Ensure data integrity and consistency.
• AI/ML Analysis Projects:
• Participate in AI/ML projects aimed at improving machine performance and process optimization.
• Apply machine learning algorithms to analyze sensor data and identify patterns.
• Contribute to the development and evaluation of predictive models.
• Assist in the implementation of model deployment strategies.
  
  

Key Goals & Expected Outcomes:

• Contribute substantially to Seurat's data and AI/ML foundation: Help build and improve our data infrastructure and AI/ML capabilities.
• Gain solid experience with modern data practices, Python scripting, and software tooling: Develop practical skills in data engineering, scripting, and machine learning.
• Mentorship and career development: Learn critical engineering, business, and workplace skills from one of the best teams you can find.
• Build domain experience toward careers at the intersection of hardware, software, and AI/ML: Gain valuable experience in a cutting-edge field.
• Potential for entry-level hires: Outstanding interns may be considered for future full-time positions.
  
  

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Functional familiarity in Python scripting.
• Familiarity with data analysis and machine learning concepts.
• Experience with data manipulation libraries (e.g., Pandas, NumPy).
• Knowledge of database systems and SQL is a plus.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and collaboration skills.
• An interest in hardware and manufacturing technologies is a plus.
  
  

Benefits:

• Hands-on experience with cutting-edge technology.
• Opportunity to contribute to real-world projects.
• Competitive internship compensation.
• Exposure to a fast-paced, innovative environment.
  
  

Seurat Technologies is an Equal Opportunity Employer that values employees with a broad cross-cultural perspective. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, citizenship status, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.