I'm looking for ML intern roles focusing on sensors in San Jose, with Python and deep learning experience required. I also want positions that allow remote work and are in the materials science industry.

Okay, I've searched for ML intern roles focusing on sensors in San Jose, requiring Python and deep learning experience, allowing remote work, and in the materials science industry. I have found 45 positions for you. You can review them now.

ML/Data Science Intern

San Jose, CA

Python

deep learning

Materials Science

Remote

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The ML/Data Science Intern - Sensors role at Lyten fundamentally seeks to innovate how sensor data is processed and utilized, particularly as it relates to the company's cutting-edge advancements in decarbonization technologies. The key responsibilities include building and optimizing time-series models for classification and event detection, which is crucial for developing advanced sensors. This requires a solid grasp of machine learning algorithms and an adeptness in working with multivariate sensor data. Candidates will face challenges such as integrating real-time data with firmware and backend systems, requiring strong collaboration skills. Success in this role looks like the effective deployment of low-latency Machine Learning inference modules and contributing to meaningful discussions on model evaluation metrics. In essence, the ideal candidate must not only possess technical proficiency but also demonstrate creativity and strategic thinking in applying their knowledge in a meaningful context that aligns with Lyten's mission of global decarbonization.

Company Analysis:

Lyten operates at the forefront of environmental innovation, transforming carbon emissions into advanced materials like Lyten 3D Graphene™. As a company dedicated to decarbonization, their positioning as an advanced materials leader offers employees the opportunity to work on projects that could reshape multiple industries, such as automotive and aerospace. The culture at Lyten likely prioritizes innovation, collaboration, and a mission-driven mindset, as emphasized in their call for a 'diverse set of perspectives and expertise.' The ML/Data Science Intern will likely work within a collaborative team environment, focusing on integration with cross-functional teams, which could provide significant visibility to decision-makers. This role's strategic focus is crucial to advancing Lyten's goals, as it aims to optimize sensor technologies that could be pivotal in various applications, hence enhancing the company's competitive edge in the market.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to collaborate with a team to solve a complex problem. What was your role, and what was the outcome?
Describe a project where you implemented machine learning algorithms. What challenges did you face and how did you overcome them?
Give an example of a time when you had to analyze a dataset. What techniques did you use to ensure your findings were accurate?
How do you approach learning a new technology or software you haven’t worked with before?
What method would you use to evaluate the performance of a time-series model you've created?
Can you walk us through how you would preprocess multivariate sensor data for analysis?
What strategies would you use to optimize a time-series model for real-time deployment?
Imagine you are given a dataset with missing values. How would you handle it before training your model?
Why are you interested in working at Lyten specifically, and how does our mission align with your personal goals?
What do you think are the biggest challenges in developing advanced sensor technologies today?
What do you find most exciting about working with machine learning within the field of sensor technology?
How do you stay updated with the latest trends and advancements in machine learning?

Job Details

Overview Company

ML/Data Science Intern

$25/h-$32/h

Lyten

a month ago

Highlight

OnsiteFull-time, InternEntry

Summary

Lyten is seeking an ML/Data Science Intern - Sensors to join their team in San Jose, CA. The role involves building, evaluating, and optimizing time-series models for classification and event detection from multivariate sensor data.

About the Role

As an ML/Data Science Intern - Sensors, you will be responsible for implementing and experimenting with models such as Random Forests, Gradient Boosting, LSTM, GRU, CNN-LSTM, and Temporal Convolutional Networks. You will explore emerging architectures like Transformer-based time series models, apply windowing strategies for preprocessing, and evaluate models based on accuracy, precision, recall, latency, and inference speed. Collaboration with firmware and backend teams to interface models with real-time sensor data pipelines and assisting with developing low-latency ML inference modules for real-time deployment are key responsibilities. You will also perform exploratory data analysis and contribute to internal documentation and research publications.

About You

Required:

Completion of high school and completion of sophomore level coursework in STEM course in University.
Strong foundation in machine learning and deep learning principles.
Hands-on experience with time-series data, especially classification and sequence modeling.
Practical knowledge of Random Forests, LSTM, CNNs, or equivalent.
Proficient in Python and standard libraries (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch).
Familiarity with data preprocessing techniques, including filtering and denoising.
Ability to write clean, reproducible, and well-documented code.
Pursuing or recently completed a Bachelor's/Master’s/PhD in Computer Science, Engineering, Physics, Applied Math, or related field.

Benefits

401(k)
Tier based bonus and equity
Healthcare, dental, vision
Corporate discounts
Paid holidays, PTO and sick time
Employee relocation plan (if applicable)

Lyten

Lyten is an Advanced Materials company helping to decarbonize the planet by transforming greenhouse gases into Lyten 3D Graphene™, the most advanced carbon platform in the world, and using this material to develop highly innovative products that transform multiple industries.

Batteries for Electric Vehicles (EV) Using our proprietary Lyten 3D Graphene™, we are developing an advanced Lithium-Sulfur battery that can be used by electric vehicles in the automotive, aviation, and aerospace industries.

Composite Materials Using our proprietary Lyten 3D Graphene™, we are developing new polyethylene composite materials that will reduce the weight of plastic products while simultaneously maintaining stiffness, impact, and durability.

Advanced Gas & Resonant Sensors Using our proprietary Lyten 3D Graphene™, we are developing multiple types of advanced resonant sensors, bio-sensors, and gas sensors that will have a tremendous impact in the health, safety, logistics, and manufacturing industries.

San Jose, CA