职位1
Automation Engineer Intern, FRL
Sunnyvale, CA/Redmond, WA
Job ID: UO16530721
Summary
KEY RESPONSIBILITIES
  • Evaluate tracking calibration station design and identify critical design parameters for station optimization.
  • Develop calibration process simulation with FRL internal tools and analyze sensitivity and correlation of station design criteria to calibration performance.
  • Drive design of experiments (DOE) and execute data collection plans on calibration stations or customized hardware platforms.
  • Develop tools for processing and analyzing DOE data, and present to XFN teams.
BASIC QUALIFICATIONS
  • Currently has, or is in the process of obtaining, a Bachelors or Masters in Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics or related field.
  • Experience with programming languages such as Python, C/C++, and data processing tools such as MATLAB, JMP and Minitab.
  • Knowledge of multi-sensor tracking systems and calibration flows.
  • Experience with CAD tools and CAD-based simulation.
  • Experience designing and executing development projects with a design of experiment approach (DOE) to service, troubleshoot, and solve engineering problems.
  • Interpersonal skills: cross-group and cross-culture collaboration.
职位2
Product Operations Program Manager Intern, FRL
Sunnyvale, CA/Redmond, WA
Job ID: UO16530722
Summary
KEY RESPONSIBILITIES
  • Drives day-to-day activities which support the overall goals of the program.
  • Collaborates within Operations and the extended cross-functional team to identify and highlight potential program risks.
  • Builds lasting relationships between cross functional teams to encourage open communication and collaboration.
  • Understands how short term activities influence long term goals and vice versa.
BASIC QUALIFICATIONS
  • Currently has or is in the process of obtaining one of the following: MBA, Masters in Industrial Engineering, Masters in Operations Research, or an equivalent field.
  • Knowledge of Operations research techniques and/or Industrial Engineering methods for optimization of manufacturing systems and supply chain processes.
  • 1+ years of experience utilizing statistical software such as Minitab, JMP, or equivalent.
  • 1+ years of experience managing complex programs with a large cross-functional team.
  • 1+ years of experience developing and implementing a project timeline such as a Gantt chart or equivalent.
职位3
Research Data Scientist (University Grad)
Bellevue, WA/Menlo Park, CA/Seattle, WA/Boston, MA/New York, NY
ID: UO16530723
Summary
KEY RESPONSIBILITIES
  • Identify appropriate quantitative methods and build relevant data sets to address challenges across different domains in Meta’s infrastructure.
  • Develop statistical and machine learning solutions end-to-end through the full life cycle of prototyping, testing, evaluating, deploying and maintaining them at Meta scale.
  • Develop measurement solutions and experimentation frameworks to ensure effective data-driven decision making.
  • Form close collaborative relationships with other data scientists and engineering partners and contribute to team projects through model development and analyses.
  • Communicate project results and recommendations to stakeholders and cross-functional partners.
BASIC QUALIFICATIONS
  • Currently has, or is in the process of obtaining a Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Data Science, Engineering, Operations Research, and other related technical fields.
  • Experience applying statistical and machine learning techniques such as hypothesis testing, time series analysis, classification, regression, and clustering to real-world data sets.
  • Experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
  • Experience with at least one programming language (e.g., Python, Java, C++).
  • Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
  • Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2
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