Ares Materials inc

Ares Materials is an innovative materials science company focused on developing next-generation optical polymers using AI and Machine Learning. Their proprietary platform, Pylux, combines unique…

AIDisplay IndustryMachine LearningMaterials ScienceOptical PolymersPyluxSustainable MaterialsThiol-click chemistryaresmaterials.com

Ares Materials inc

Ares Materials is an innovative materials science company focused on developing next-generation optical polymers using AI and Machine Learning. Their proprietary platform, Pylux, combines unique…

AIDisplay IndustryMachine LearningMaterials ScienceOptical PolymersPyluxSustainable MaterialsThiol-click chemistryaresmaterials.com

HQPlano, US

Team Size33

Open Jobs2

Total Funding$22M

Latest Fundraise9 months ago

TL;DR

Headquarters: Plano, Texas

Core product: Pylux — AI-driven materials informatics platform for optical polymers

Applications: Films, coatings, OCA/PSA, OCR for mobile, foldable, tablets, automotive, AR/VR, transparent displays

Founded: 2015–2016 (company formation timeframe)

Recent stage (public profiles): Series B

Company Overview

Problem Domain

Materials design for display and optical applications

Founded

2015

Industry

Materials technology

Tech Stack

Machine Learning / AI

Materials informatics

Thiol-click chemistry

High-performance computing

In-house experimental lab workflows

Funding Track Record

Series B

Public profiles list Series B as most recent round; amounts and exact dates not publicly disclosed in provided evidence.

Investor Signal

“Backed by venture capital and government grants (investors listed include 1200 VC, L'ATTITUDE, National Science Foundation and others)”

Join the Team

Mathematical Modeling Engineer

On-SiteLomas Del Country, Jal., MX

On-Site • Lomas Del Country, Jal., MX

We are looking for a person focused on mathematical models of mechanical characterization, with experience at the intersection of applied mathematics and materials. The work centers on modeling the mechanical behavior of polymeric films and multilayer structures, including how mechanical energy is dispersed in materials used to protect electronic devices.

The goal of the role is to predict the mechanical behavior of polymeric films using mathematical and numerical models to support materials discovery. The work involves close collaboration with both the simulation team and the ML team, integrating mathematical, chemical, and machine-learning models into unified prescriptive tools that guide the discovery of new materials.

Required background

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Software Engineer

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AI Researcher

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Machine Learning Engineer

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Background in applied mathematics, mechanical engineering, materials science, or physics, with a strong modeling focus

Proven experience in mechanical modeling (academic or industrial)

Experience translating physical phenomena into mathematical formulations

Familiarity with mechanical characterization concepts, including but not limited to stress–strain behavior, energy absorption, and static and dynamic bending

Experience working with real material data, not purely theoretical work

Programming experience using Python for numerical modeling or data analysis

Responsibilities

Work closely with laboratory teams to understand experimental setups and results
Define and request experiments needed for model development, understanding, and validation
Formulate and test hypotheses to represent mechanical phenomena mathematically, following the scientific method
Validate models using experimental data

Tipo de puesto: Tiempo completo

Sueldo: $22,000.00 - $32,000.00 al mes

Días por enfermedad
Estacionamiento gratuito
Horarios flexibles
Seguro de gastos médicos mayores

Puede trasladarse/mudarse:

44610, Lomas Del Country, Jal.: Trasladarse al trabajo sin problemas o planear mudarse antes de comenzar a trabajar (Obligatorio)

Maestría terminada (Deseable)

44610, Lomas Del Country, Jal. (Deseable)

Lugar de trabajo: Empleo presencial

Ares Materials inc

Ares Materials inc

TL;DR

Company Overview

Problem Domain

Founded

Industry

Tech Stack

Funding Track Record

Investor Signal

Founders

What we do

Join the Team

Mathematical Modeling Engineer

Startup jobs. A lot of them.

Mobile Developer

Frontend Developer

Frontend Developer

Software Engineer

AI Researcher

Machine Learning Engineer

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