ML/Data Science Intern - Sensors

We are leading a materials revolution. At Lyten, we’re not just developing advanced supermaterials, we’re about to change the world as we know it. Our team is at the forefront of a fundamental transformation that will impact nearly every industry, making a massive global improvement.

Our mission is to achieve gigaton-scale decarbonization impact, and we’re building a new ecosystem of decarbonization applications to make it a reality. With Lyten 3D Graphene™, we’re pushing the boundaries of what’s possible by improving energy storage, developing stronger and lighter plastics, and creating advanced sensors that can detect beyond today’s limits.

Join our team and be a part of something bigger than yourself. We need a diverse set of perspectives and expertise to take on some of the world’s toughest scientific, engineering, and commercial challenges while also having a fun and rewarding career! Are you ready to take on this challenge? Apply now and help us scale Lyten 3D Graphene™ into all of its many potential applications and be a part of this groundbreaking transformation.

We’re looking for passionate and talented individuals who want to work at Lyten and help create a brighter future for generations to come!

Responsibilities

• Build, evaluate, and optimize time-series models for classification and event detection from multivariate sensor data.
• Implement and experiment with models such as Random Forests, Gradient Boosting, LSTM, GRU, CNN-LSTM, and Temporal Convolutional Networks (TCNs).
• Explore and experiment with emerging architectures such as Transformer-based time series models.
• Apply windowing strategies (sliding/rolling windows) for preprocessing and feature extraction.
• Evaluate models based on accuracy, precision, recall, latency, and inference speed.
• Collaborate with firmware and backend teams to interface models with real-time sensor data pipelines.
• Assist with developing low-latency ML inference modules for real-time deployment.
• Perform exploratory data analysis and generate plots, model evaluation reports, and dashboards.
• Contribute to internal documentation and (optionally) research publications.
  
  

Education Requirements

• Pursuing or recently completed a Master’s/PhD in Computer Science, Engineering, Physics, Applied Math, or related field.
  
  

Job Experience Requirements

• 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.
  
  

Compensations Range

The expected base salary range for this position is between

$25.00 - $32.00

The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise.

Disclosures

Pay Transparency Disclosure:

This compensation and benefits information is based on Lyten’s estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.

In addition to base pay this position is eligible for tier based bonus and equity, healthcare, dental, vision, corporate discounts, paid holidays, PTO and sick time, 401K, employee relocation plan (if applicable)

Export/ITAR Compliance Disclosure

Certain positions within Lyten, Inc. require compliance with export control laws and, as a result, all interviewed candidates will be screened pre-interview to determine their eligibility in light of export restrictions.

This position requires access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment in this position is conditioned on the continued availability of government authorization to authorize release of such items, to the extent required, including without limitation an export license, or other documentation required to establish authorization to receive access to such items. Company may delay commencement of employment, rescind an offer of employment, terminate employment, and/or may modify job responsibilities, compensation, benefits, and/or access to Company facilities and information systems, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions.

Lyten is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, status as a protected veteran, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

IMPORTANT: Please be aware that fictitious job openings, consulting engagements, solicitations, interviews or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Lyten Does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. We Do NOT use any messaging apps to recruit or communicate at any time during the recruiting process. Links to the actual job posting will be provided in the email, please verify the position is posted prior to communicating. All genuine job openings will be posted on our careers page and all communications will be from the recruiting team and will be from a @lyten.com email address.

Principals only; third party or agency submitted candidates will not be considered.

Why Work at Lyten