AI Scientist

Lindus Health; Palo Alto (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Dormont Manufacturing Co is seeking experts in pre-training and fine-tuning large language models. The role includes modifying models for human interaction, equipping them with external tool capabilities, and aligning them based on deployment feedback.

The ideal candidate should have a strong understanding of generative AI, technical engineering skills for production software, and collaborative teamwork experience. Opportunities include engagement with cutting-edge AI technology.

Qualifications

• Broad knowledge of AI with specific interest in fine-tuning language models.
• Designing complex software and making it usable in production.
• Hands-on experience with AI frameworks such as TensorFlow, PyTorch, and Jax.

Responsibilities

• Modify pre‑trained models to interact with humans.
• Equip models with the ability to call external tools.
• Align models based on feedback or ad-hoc annotations.

Skills

Knowledge of generative AI

Experience with AI frameworks (TensorFlow, PyTorch, Jax)

Technical engineering competence

MLOps stack navigation

Collaborative mindset

Job description

Mistral AI are hiring experts in the role of pre‑training and fine‑tuning large language models.

About Mistral

• We are a tight‑knit, nimble team dedicated to bringing our cutting‑edge AI technology to the world. Our mission is to make AI ubiquitous and open.

• We are creative, low‑ego, team‑spirited, and have been passionate about AI for years.

• We hire people who thrive in competitive environments, because they find them more fun to work in.

• We hire passionate women and men from all over the world.

• Our teams are distributed between France, UK and USA.

Key Responsibilities

• Modifying pre‑trained large language models to make them able to interact with humans.

• Equipping large language models with the ability to call external tools.

• Aligning large language models based on feedback obtained during deployment, or going through an ad‑hoc annotation process.

• Designing ad‑hoc annotation processes themselves.

• Participating to the pre‑training effort.

Qualifications & Profile

• High scientific understanding of the field of generative AI: broad knowledge of AI and specific interest in fine‑tuning and using language models for applications.

• High technical engineering competence: designing complex software and making it usable in production.

• Ability to navigate the full MLOps technical stack, focusing on architecture development, model evaluation and usage.

• Occasional front‑end development experience, and ability to use complex HPC infrastructure with full autonomy.

• Hands‑on experience with AI frameworks and tools such as TensorFlow, PyTorch, and Jax.

• Experience working with large distributed systems.

• Self‑starter and autonomous.

• Low‑ego.

• Collaborative and a real team‑player mindset.

Now, it would be ideal if you have

• Audio/Speech experience — audio input/output, NLP, etc.