Our company: Entalpic

We are a dedicated team at the forefront of AI and chemistry, working to accelerate the energy transition. Our focus is on discovering new chemicals and materials that can lead to more sustainable practices in sectors where the need for change is most urgent. Specifically, we develop a modern generative AI platform to discover new catalysts that optimize chemical reactions, significantly reducing CO2 emissions and thus making a substantial impact on the environment.

As an early-stage AI-driven startup backed by substantial funding (>8 million €), we base our approach on state-of-the-art academic research to drive practical business solutions. We value clear communication and simplicity in our approaches, promoting a constant optimization mindset.

Join Entalpic to be part of a growing team, eager to learn and adapt, united by the belief that our technology can make a significant positive impact and contribute to transforming carbon-intensive industries for a sustainable future.

Co-founders: Mathieu Galtier, Victor Schmidt, Alexandre Duval

Reporting & Job Location

You will report to the Chief Science Officer (CSO) of Entalpic and will be located in our Paris offices.

Mission Highlights

As a Material Scientist with expertise in materials discovery and familiarity with Machine Learning (ML) approaches, you will act as the referent chemist in our team. Your role will bridge computational tools and experimental knowledge, mapping simulated materials to real-world synthesis conditions and vice versa. You will play a key role in shaping our genAI platform with our science and engineering team (~15-20 people), by parametrizing the search space, integrating physico-chemical / manufacturing constraints and providing domain expertise to evaluate its outcomes. Lastly, you will engage with our experimental partners and clients to meet their needs and deliver superior materials, tailored to thermocatalysis, electrochemistry, and other applications.

Role & responsibilities

This position directly supports the company’s mission of discovering materials to optimize carbon intensive industries. You will be responsible for:

- Guide material discovery: identify relevant material classes that we should explore and integrate relevant physicochemical / manufacturing constraints to guide our generative AI platform in different application domains (e.g. thermocatalysis, electrochemistry, alloys).

- Build ML models that predict synthesis protocols for targeted 3D material structures (or a family of structures), specific to a lab’s equipment, for e.g. by parsing the academic literature and patents with LLMs.

- Active learning & evaluation: contribute domain expertise to active learning strategies, enhancing sample selection and model generalization. Evaluate the potential of the generated material candidates, creating meaningful metrics that meet project goals (e.g. stability, selectivity, target properties, synthesisability score, etc.).

- Communication & Leadership: be the referent chemist expert, transmit application requirements to ML teams, guide experiments and present findings to the material science community & stakeholders.

Profile

- PhD in Chemistry, Chemical Engineering, Material Science or a closely related field, preferably with a focus on thermocatalysis or electrochemistry.

- Strong background in materials discovery, with proven R&D in materials design, synthesis, characterization, testing and evaluation.

- Familiarity with machine learning methods and convinced of their potential to revolutionize materials discovery.

- Programming: knowledge of Python programming and Git version control.

- Excellent communication skills in English.

- Proven ability to work with interdisciplinary teams.

- Strong analytical skills and problem solving ability.

- Thrives in a fast-paced, evolving startup environment.

Bonuses:

- Publications in several international peer-reviewed journals or conferences.

- Previous experience in an experimental lab.

Compensation & benefits

We are a no-nonsense startup, where we favor a sustainable culture promoting work-life balance and good compensation over football tables and free food. We offer:

- A competitive salary

- Equity (BSPCE), to reflect the value you bring to Entalpic and to foster a shared journey

- Comprehensive health insurance (Alan blue)

- French level paid leave and time-off work

- Dynamic work setting. Although our preference is for in-person collaboration, we will be flexible with occasional remote work arrangements.

...and more to come as we grow.

Entalpic is dedicated to equal opportunity employment and fosters an environment that is open and respectful of diversity. All applicants are encouraged to apply, even if you don’t meet all above requirements. If you have passion for our mission and believe you can contribute, we want to hear from you.

Recruitment Process (do not publish)

- HR screening (internal process, no interview)

- Interview with the hiring manager

- Technical interview about material science, catalysis and machine learning 

- Case study presentation

- Final interview with the CEO