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Internship Google Robotics Engineer Jobs in Tennessee

Data Scientist

Nashville, TN · On-site

$100 - $130/hr

Data Engineering & Cloud Expertise * Develop scalable data processing workflows using Python ... ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority ...

Debug Technician

Memphis, TN · On-site

$23 - $24/hr

... Google Cloud, and Microsoft. It has built strong capabilities in new as well as existing ... Robot Programming & Optimization: * Program and fine-tune molding or assembly machine robots (e.g ...

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Internship Google Robotics Engineer information

What does an Internship Google Robotics Engineer do?

An Internship Google Robotics Engineer works as part of Google's robotics teams, assisting in the research, design, and development of robotic systems and technologies. Interns may collaborate on projects involving hardware, software, machine learning, or artificial intelligence to help solve real-world problems. Their responsibilities often include programming, testing prototypes, data analysis, and working closely with experienced engineers. This role provides hands-on experience and mentorship, giving interns a chance to contribute to innovative projects while building valuable technical skills.

What types of projects can I expect to work on as an Internship Google Robotics Engineer, and how much autonomy will I have?

As an Internship Google Robotics Engineer, you will typically be involved in hands-on projects that contribute to ongoing research or the development of new robotic systems. Projects may include tasks such as improving perception algorithms, testing hardware prototypes, or developing software for robot navigation and manipulation. Interns generally work closely with experienced engineers and researchers, receiving mentorship while also being encouraged to take ownership of specific project components. This collaborative environment allows you to develop technical skills and gain insight into how cross-functional teams operate within Google's robotics division.

What are the key skills and qualifications needed to thrive as an Internship Google Robotics Engineer, and why are they important?

To excel as an Internship Google Robotics Engineer, a solid understanding of robotics fundamentals, programming (especially in Python or C++), and coursework in computer science, engineering, or a related field is typically required. Familiarity with ROS (Robot Operating System), simulation tools like Gazebo, and version control systems such as Git are commonly expected; relevant project experience or academic research is a plus. Problem-solving ability, teamwork, and effective communication are vital soft skills that distinguish top candidates in collaborative and fast-paced environments. These competencies are crucial for contributing to innovative projects, adapting to complex challenges, and ensuring effective collaboration within multidisciplinary teams.

What cities in Tennessee are hiring for Internship Google Robotics Engineer jobs?

Cities in Tennessee with the most Internship Google Robotics Engineer job openings:

Infographic showing various Internship Google Robotics Engineer job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Scientist

Nashville, TN • On-site

$100 - $130/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Description: We are seeking a highly skilled Senior Data Scientist with strong experience in cloud-based data platforms (Google Cloud or similar), Python/PySpark development, and advanced time‑series forecasting. The ideal candidate will have deep supply chain domain expertise—preferably in Demand Forecasting—and a proven track record of building, training, and operationalizing predictive models at scale. This role will also focus on identifying data anomalies, creating alerting frameworks, and improving model accuracy through metric evaluation and tuning.

Key Responsibilities Model Development & Forecasting
  • Build, train, and deploy time‑series forecasting models using techniques such as XGBoost, Random Forest, Linear regression–based models, ARIMA, SARIMA, Holt‑Winters, Prophet / FBProphet.
  • Operationalize model pipelines using Google Cloud Platform (GCP) services (BigQuery, Cloud Composer, Dataproc, Cloud Run) or equivalent cloud technologies (AWS, Azure).
  • Perform feature engineering, hyperparameter tuning, model validation, and continuous improvement of forecasting pipelines.
Data Engineering & Cloud Expertise
  • Develop scalable data processing workflows using Python, PySpark, and SQL.
  • Work with large datasets and cloud‑native data environments for analytics and modeling.
  • Collaborate with data engineering teams to ensure robust data pipelines and high‑quality training data.
Analytics & Anomaly Detection
  • Design and implement data anomaly detection systems to identify volume, pattern, and trend deviations.
  • Build automated alerting frameworks for early warning of data or forecast issues.
  • Investigate root causes of anomalies and recommend long‑term fixes.
Accuracy Metrics & Optimization
  • Develop and maintain accuracy measurement frameworks (e.g., MAPE, RMSE, MAE, WAPE, Bias).
  • Continuously fine‑tune and optimize model performance based on metric evaluations.
  • Communicate model accuracy trends and insights to both technical and business stakeholders.
Domain Expertise – Supply Chain & Demand Forecasting
  • Apply strong domain knowledge in retail supply chain, inventory planning, replenishment, and demand forecasting.
  • Partner with business teams to translate forecasting needs into data science solutions.
Required Qualifications
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience as a Data Scientist with hands‑on model development.
  • Strong programming skills in Python, including PySpark and common data science libraries (Pandas, NumPy, SciPy, scikit learn).
  • Experience working with GCP or similar cloud platforms.
  • Hands‑on experience with time‑series forecasting, regression models, and ensemble methods.
  • Strong SQL experience and comfort with large‑scale datasets.
  • Ability to diagnose data issues, perform anomaly analysis, and build automated alerting solutions.
Preferred Qualifications
  • Experience in retail, supply chain, inventory, or demand forecasting systems.
  • Exposure to MLOps practices (CI/CD, model monitoring, retraining pipelines).

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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