Applied Scientist

Albatross AI; France; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Learning budget and conference support

Remote across Europe

Job summary

Albatross is seeking an Applied Scientist to advance real-time machine learning, personalization and search. You will design state-of-the-art algorithms and translate them into product-ready capabilities that power decision-making over billions of interactions.

You will prototype novel approaches in deep learning, reinforcement learning, and LLMs, collaborate with data scientists and engineers, and maintain rigorous code quality.

Qualifications

• PhD in Machine Learning, Computer Science, Mathematics, or a related field.
• Proven experience in developing and shipping ML models in production.
• Strong Python skills and experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
• Publications in top ML conferences are a plus.
• Strong communication and collaboration skills in English.

Responsibilities

• Design, implement, and improve ML algorithms powering real-time recommendations and search.
• Prototype and validate novel approaches in deep learning, reinforcement learning, and LLMs.
• Collaborate with Data Scientists and Engineers to generalize solutions and build tooling.
• Maintain high code quality and experimentation discipline.
• Publish technical work and represent Albatross in the ML research community.
• Drive innovation in transformer architectures, multimodal embeddings, and scalable retraining.

Skills

Python

PyTorch

TensorFlow

JAX

ML deployment

Publications

Education

PhD in ML/CS/Math

Job description

Location

Location: Remote in Europe

At Albatross, we're building the second pillar of AI: a perception layer that understands how users actually experience content, in real time. Trained on live user interactions, Albatross learns and reasons on the fly. Our technology powers real-time, in-session discovery by adapting to evolving user interests, in real-time. We have raised significant funding and our platform already operates at scale, with billions of events being processed and hundreds of millions of predictions served.

The Role

As an Applied Scientist you will help push the boundaries of real-time machine learning, personalization and search. You will design state-of-the-art algorithms and turn them into product-ready capabilities that power decision-making across billions of interactions. More specifically you will:

Design, implement, and improve the ML algorithms that power our recommendation and search enginePrototype and validate novel approaches in areas such as deep learning, reinforcement learning and LLMsCollaborate with Data Scientists and Engineers to generalize solutions and contribute to shared toolingMaintain a high standard of code quality and experimentation disciplinePublish technical work and help represent Albatross in the ML research community and ensure our approach remains ahead of the curveWork backward from product goals to guide the development of algorithmic solutionsDrive innovation in areas such as transformer architectures, multimodal embeddings, advanced information retrieval, and scalable retraining

Requirements

PhD in Machine Learning, Computer Science, Mathematics, or a related fieldProven experience in developing and shipping ML models in productionStrong Python skills and experience with ML frameworks such as PyTorch, TensorFlow, or JAXExperience reading and implementing ideas from academic papersUnderstanding of algorithms for search, ranking, recommendation, or representation learning is a plusPublications in top ML or data science conferences (e.g. NeurIPS, ICML, KDD, RecSys, SIGIR) are a plusStrong communication skills in English and collaboration skills

Benefits

Flexibility to work from anywhere across EuropeBudget for learning and training, attend events and conferences