AI Research Scientist, PhD

Aix-en-Provence, France

About this role:

ALPHA10X is the AI leader in private markets investments. Our Nostradamus platform analyzes data at scale to shape the knowledge and foresight that generate alpha and impact. The company is a well-funded growth stage startup and aspiring unicorn, rapidly expanding our revenue, customer base, and market presence, while scaling operations, enhancing products, and securing additional funding to further accelerate development. Our team includes prominent business leaders, investors, scholars, and data scientists.

As AI Research Scientist, reporting to the Chief Scientist, you'll lead our advanced research efforts. Your mission is to drive innovation and ensure our AI is state-of-the-art. You will work closely with our data science, development, product, and customer-facing teams to design and implement cutting-edge solutions that deliver real business value.

This role requires a deep understanding of AI, machine learning, knowledge graph, and predictive analytics, coupled with the ability to collaborate with a team of data scientists and software engineers in multiple R&D centers. You must excel in designing, building, optimizing, and utilizing Knowledge Graphs and their ontologies, as these are essential for addressing complex, open-ended challenges in private markets investment.

Your technical expertise, visionary mindset, and ability to confidently communicate complex concepts to C-level audiences will be key to driving our technology strategy and product evolution.

No two days are the same, but you can expect to:

  • Lead the company’s AI research initiatives.
  • Collaborate with product and engineering teams to design and implement innovative solutions.
  • Stay abreast of the latest advancements in AI, machine learning, and predictive analytics.

Key responsibilities:

  • Develop and implement innovative machine learning architecture for knowledge representation on graph tailored for AI-driven investment insights.
  • Fine-tune and train language models to optimize their interaction with graph-based data structures, enhancing retrieval and analysis of highly interconnected entities.
  • Build evaluation sets that stress-test models against the complexities of dynamic investment data sourced from diverse, heterogeneous data types (e.g., images, tables, relational data).
  • Extend methodologies such as Retrieval-Augmented Generation (RAG) to work within ALPHA10X's highly interconnected graph knowledge base.

What we value:

  • Leadership and management skills (they are not the same).
  • Relationship-orientation and high EQ.
  • Low ego because the outcome matters more than who gets the credit.
  • Adaptive and introspective; willing to learn, guide, lead, and follow.
  • Unrelenting drive to push the boundaries of AI and data science.

What we are looking for:

  • PhD in a related field (e.g., AI, machine learning, data science, statistics, probability), from a prestigious university.
  • Proficient in Python programming and machine learning research, with a focus on graph-based data structures.
  • Experience with developing scalable distributed information systems, including knowledge graphs and advanced retrieval systems.
  • Deep understanding of how to design and train models to leverage graph knowledge bases.
  • Experience with model design, particularly graph-based models like Graph Neural Networks (GNNs), for tasks such as exogenous node and edge prediction.
  • Semantic Web technologies skills: implement technologies like RDF, OWL, and SPARQL to enhance data connectivity, utilizing semantic web standards for data sharing and representation.
  • Machine learning with graph data skills: utilize machine learning techniques on graph-structured data, enhancing predictive models and analytical capabilities through graph-based learning.
  • Expertise in programming languages and library commonly used in AI and data science, e.g., Python or R, Tensorflow or Pytorch, Darts.
  • Working experience with large-scale data processing frameworks (e.g., Hadoop, Spark, Dask …).
  • Working experience with large-scale search engines and DBMS (e.g., Elasticsearch, SQL, Neo4j, CosmosDB).
  • Experience in Training, Monitoring and deployment of AI, machine learning, and predictive analytics models on Azure and/or Databricks.
  • Ability to take responsibility, initiative, and use excellent comprehension skills to develop solutions to complex AI, machine learning, and predictive analytics problems quickly.
  • Excellent written and verbal English communication skills.

Why join us?

  • Innovation: Play a key role in advancing the capabilities of AI in fintech, working with some of the brightest minds in the industry.
  • Leadership: As part of the future shaping team, you will have a direct impact on the company's growth and strategic direction.
  • Growth Opportunities: Join a fast-paced, high-growth startup with significant equity participation and potential for personal and professional advancement.
  • Global Impact: Be part of a team that connects people, capital, and ideas to solve some of the world’s greatest challenges through AI-driven financial solutions.

To apply, please email: hr@alpha10x.com