Lyten · 23 hours ago
Machine Learning Scientist
San Jose, CA
Full-time
Hybrid
Mid, Senior Level
$155K/yr - $233K/yr
3+ years expLyten is leading an industrial revolution through innovative supermaterials, aiming to reshape industries such as energy and mobility. They are seeking a highly skilled Machine Learning Scientist to design and optimize models for detecting airborne compounds, utilizing advanced machine learning techniques and collaborating with engineers to ensure effective deployment.
Advanced MaterialsBatteryIndustrialManufacturing
No H1B
U.S. Citizen Only
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
Qualification
Required
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
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
Benefits
Tier based bonus
Equity
Healthcare
Dental
Vision
Corporate discounts
Paid holidays
PTO
Sick time
401K
Employee relocation plan (if applicable)
Company
Lyten
Lyten is a supermaterial applications company that develops, sources, and manufactures low-carbon footprint products.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
$367MKey Investors
The Luxembourg Future FundUS Department of EnergyPrime Movers Lab
2024-07-18Series Unknown
2024-01-30Grant· $4M
2023-09-12Series B· $200M
Leadership Team
Daniel Cook
CEO, Co-founder, & Investor, Lyten Inc
Recent News
2026-01-16
Company data provided by crunchbase