Lyten is leading an industrial revolution through Lyten 3D Graphene™, a breakthrough supermaterial unlocking a new generation of products — from lithium–sulfur batteries and energy storage systems to concrete admixtures, lightweight composites, and next-generation sensors that are revolutionizing industries. Together, these innovations are making a massive global improvement and driving real-world impact across energy, mobility, construction, and defense.

At Lyten, we believe the most meaningful careers begin with purpose — and with people who want to make a difference. We’re not just developing advanced supermaterials — we’re about to change the world as we know it, reshaping how energy is stored, how products are built, and how progress is made.

We’re entering an exciting growth phase, scaling production across the U.S. and Europe and expanding our team of engineers, scientists, and innovators.

Apply now to join our team and be part of something bigger than yourself — where collaboration, creativity, and purpose come together to build the technologies that will define the next century.

About The Role

We 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)

OR

Master'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 - $232,800.00

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

At Lyten, you’ll be part of a team that’s redefining what’s possible in energy, materials, and manufacturing. We’re not just imagining the future — we’re building it today with breakthrough technologies that are changing how products are made and how industries innovate.

Our people are the heart of that mission. From world-class scientists and engineers to creative problem-solvers in operations, manufacturing, and commercialization, every member of the Lyten team plays a role in turning bold ideas into real-world impact. We believe that the best work happens when you’re doing great things in the world — with people you like. Collaboration, curiosity, and a shared sense of purpose drive everything we do.

What You’ll Find at Lyten

A mission that matters: Contribute directly to solving complex challenges in energy, mobility, and materials innovation.
Cutting-edge innovation: Work on technologies at the intersection of materials science, energy storage, and advanced manufacturing that strengthen energy security and local supply chains.
Extraordinary people: Join a team of talented, friendly, and down-to-earth innovators who support, challenge, and inspire one another every day.
Teamwork and culture: Experience a workplace built on trust, respect, and shared success — where collaboration fuels breakthroughs and everyone’s ideas are heard.
Global impact: Help scale new materials and energy solutions that reinforce industrial resilience across the U.S. and Europe.
Career growth: Be part of a fast-moving company entering a commercial growth phase, with opportunities to lead, learn, and make your mark.
Purpose-driven values: Thrive in an environment that celebrates ingenuity, optimism, and meaningful progress — together.

Lyten offers the opportunity to do the most important work of your career — helping build the technologies that will power the next century of innovation.

Join us, and help transform industries, communities, and the planet with friends who share your drive to make a difference.

Lyten

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