Lyten, Inc.
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.We’re looking for passionate and talented individuals who want to work at Lyten and help create a brighter future for generations to come!## About the RoleWe are seeking a highly skilled Machine Learning Scientist with expertise in environmental sensing and multivariate sensor data analysis. The ideal candidate will design, implement, and optimize models for detecting, localizing, and visualizing airborne compounds in real-world environments. This role requires strong technical depth in ML for sensor fusion, as well as experience with computational modeling of dispersion patterns and 3D visualization of concentration fields.## ## Key Responsibilities·
Develop and deploy ML models for detecting and quantifying airborne compounds from multivariate gas sensor data.·
Design algorithms to estimate concentration gradients, source localization, and spatiotemporal plume dispersion.·
Create 3D visualization tools for mapping gas dispersion and dynamics in the environment, integrating data from a distributed grid of sensors.·
Build scalable systems for real-time sensor data ingestion, preprocessing, and fusion across large sensor arrays.·
Implement physics-informed ML methods (e.g., CFD-informed priors, Gaussian plume models, graph neural networks for spatial grids).·
Collaborate with hardware and embedded systems engineers to ensure ML pipelines are optimized for field deployment.·
Prototype and refine 3D mapping tools that enable end-users to monitor airborne compound plumes as volumetric “cloud maps.”·
Validate models using both simulated and real-world datasets; design experiments to improve detection accuracy and robustness.## ## Qualifications·
Doctorate degree in a relevant field (e.g., chemistry (molecular), materials science, mechanical engineering, electrical engineering, and chemical engineering, computer science)ORMaster's degree in a relevant field (e.g., chemistry (molecular), materials science, mechanical engineering, electrical engineering, and chemical engineering, computer science) AND 3+ years of experience in a relevant field leading or contributing to multidisciplinary projects where scope requires reliance on the technical experience of other team members·
Strong background in machine learning for time-series and multivariate sensor data.·
Experience with computational fluid dynamics (CFD), plume dispersion models, or environmental modeling.·
Expertise in 3D data visualization (e.g., Unity, WebGL, Three.js, ParaView, or similar frameworks).·
Strong proficiency with Python, TensorFlow/PyTorch, and data visualization libraries.·
Familiarity with distributed sensor networks, IoT data pipelines, and real-time analytics.·
Ability to integrate physics-based models with data-driven ML approaches.·
Track record of publishing, prototyping, or deploying advanced sensing/ML systems.## ·
US Citizen or Permanent Resident due to Export Control/ITAR## Preferred Skills·
Experience with Bayesian inference, spatiotemporal statistics, or probabilistic graphical models.·
Knowledge of GIS systems, spatial data indexing, or large-scale environmental datasets.·
Familiarity with edge ML deployment (TensorRT, ONNX Runtime, etc.).·
Strong data storytelling skills and ability to communicate complex results with intuitive visuals.## ## What We Offer• Opportunity to pioneer next-generation environmental sensing systems.
• Work in a cross-disciplinary team combining embedded systems, cloud architecture, and applied ML.**Compensations Range:**The expected base salary range for this position is between$155,200.00 - $232,800.00The 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 LytenLyten was founded on the vision of using advanced technology from the semiconductor industry to produce abundant clean energy in the form of hydrogen. However, we discovered the ability to produce a revolutionary new material: three-dimensional #J-18808-Ljbffr
Develop and deploy ML models for detecting and quantifying airborne compounds from multivariate gas sensor data.·
Design algorithms to estimate concentration gradients, source localization, and spatiotemporal plume dispersion.·
Create 3D visualization tools for mapping gas dispersion and dynamics in the environment, integrating data from a distributed grid of sensors.·
Build scalable systems for real-time sensor data ingestion, preprocessing, and fusion across large sensor arrays.·
Implement physics-informed ML methods (e.g., CFD-informed priors, Gaussian plume models, graph neural networks for spatial grids).·
Collaborate with hardware and embedded systems engineers to ensure ML pipelines are optimized for field deployment.·
Prototype and refine 3D mapping tools that enable end-users to monitor airborne compound plumes as volumetric “cloud maps.”·
Validate models using both simulated and real-world datasets; design experiments to improve detection accuracy and robustness.## ## Qualifications·
Doctorate degree in a relevant field (e.g., chemistry (molecular), materials science, mechanical engineering, electrical engineering, and chemical engineering, computer science)ORMaster's degree in a relevant field (e.g., chemistry (molecular), materials science, mechanical engineering, electrical engineering, and chemical engineering, computer science) AND 3+ years of experience in a relevant field leading or contributing to multidisciplinary projects where scope requires reliance on the technical experience of other team members·
Strong background in machine learning for time-series and multivariate sensor data.·
Experience with computational fluid dynamics (CFD), plume dispersion models, or environmental modeling.·
Expertise in 3D data visualization (e.g., Unity, WebGL, Three.js, ParaView, or similar frameworks).·
Strong proficiency with Python, TensorFlow/PyTorch, and data visualization libraries.·
Familiarity with distributed sensor networks, IoT data pipelines, and real-time analytics.·
Ability to integrate physics-based models with data-driven ML approaches.·
Track record of publishing, prototyping, or deploying advanced sensing/ML systems.## ·
US Citizen or Permanent Resident due to Export Control/ITAR## Preferred Skills·
Experience with Bayesian inference, spatiotemporal statistics, or probabilistic graphical models.·
Knowledge of GIS systems, spatial data indexing, or large-scale environmental datasets.·
Familiarity with edge ML deployment (TensorRT, ONNX Runtime, etc.).·
Strong data storytelling skills and ability to communicate complex results with intuitive visuals.## ## What We Offer• Opportunity to pioneer next-generation environmental sensing systems.
• Work in a cross-disciplinary team combining embedded systems, cloud architecture, and applied ML.**Compensations Range:**The expected base salary range for this position is between$155,200.00 - $232,800.00The 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 LytenLyten was founded on the vision of using advanced technology from the semiconductor industry to produce abundant clean energy in the form of hydrogen. However, we discovered the ability to produce a revolutionary new material: three-dimensional #J-18808-Ljbffr