Applied Scientist / AI Engineer

About AllSciAllSci is an innovative startup revolutionizing the creation, publication, and consumption of scientific knowledge. Our platform empowers researchers to publish all their ideas and experiments, explore existing literature through novel and intuitive means, and gain recognition for their contributions to the scientific dialogue. By enhancing the volume, value, and machine readability of scientific information, AllSci addresses critical issues of incentives, trust, and reproducibility in science. We've made significant technological strides and assembled a team of AI technologists and industry veterans.
Position OverviewWe are seeking a passionate and experienced Applied Scientist / AI Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and natural language processing (NLP), with a particular emphasis on large language models (LLMs) and generative AI. This role involves developing cutting-edge AI models to power AllSci’s platform, enhancing the way scientific knowledge is processed and disseminated.

Key Responsibilities

• Design, develop, and deploy advanced NLP and generative AI models to enhance AllSci's platform capabilities.
• Evaluate and implement state-of-the-art LLMs, deciding between commercial solutions and in-house models based on project requirements.
• Lead initiatives in pre-training transformers, fine-tuning models like LLaMA and Mistral, and applying multi-modal approaches.
• Develop scalable, end-to-end NLP solutions tailored to AllSci’s unique needs.
• Conduct research to innovate and improve machine learning algorithms relevant to scientific literature processing.
• Perform statistical analyses to assess model performance and drive continuous improvement.
• Collaborate cross-functionally to communicate complex concepts and align AI developments with product strategies.
• Contribute to strategic decisions by providing insights derived from machine learning analyses.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 4+ years of experience in NLP and machine learning, with a strong portfolio of projects.
• Proficiency in programming languages such as Python and R.
• Expertise in deep learning frameworks like PyTorch and TensorFlow.
• Demonstrated experience in pre-training and fine-tuning transformer-based models.
• Familiarity with techniques such as prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
• Knowledge of Mixture of Experts (MoE) models and multi-modal AI approaches.
• Experience with search optimization and retrieval-augmented generation (RAG) techniques.
• Proven ability to process and analyze large-scale, semi-structured, and unstructured data.
• Hands-on experience with cloud platforms like AWS, GCP, or Databricks, and in creating machine learning pipelines.
• Understanding of A/B testing principles for model refinement.
• Strong communication skills and experience working in cross-functional teams.

Preferred Skills

• Experience with vector databases and semantic search technologies.
• Contributions to open-source AI projects or publications in relevant fields.
• Interest or background in life sciences and scientific research.
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Why Join AllSci?At AllSci, you'll be at the forefront of transforming scientific communication. We offer a collaborative environment where innovation is encouraged, and your contributions have a direct impact on the scientific community. Join us to be part of a team that's reshaping the future of science.