AI Scientist - Palo Alto (Internship (Phd)

Posted 11 Days Ago
Be an Early Applicant
Palo Alto, CA
Internship
Artificial Intelligence
The Role
As an AI Scientist intern at Mistral, you will assist in fine-tuning generative models, conduct research on LLMs, design and implement machine learning algorithms, and work with cross-functional teams to develop and optimize AI technologies.
Summary Generated by Built In

About Mistral 

-At Mistral AI, 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 that foster 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 


Role Summary 

-You will be working with the fine tuning team on making state-of-the-art generative models.

-You will run autonomous work streams under the supervision of experienced scientists.

-The role is based in our Bay area offices

-Internship duration : 3 to 6 months. We will only consider candidates looking for end of studies internships (Phd)


Key Responsibilities 

-Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.

-Assist in the design and implementation of machine learning models and algorithms.

-Conduct research on the latest advancements in natural language processing and LLMs.

-Contribute to the development and optimization of our LLM systems.

-Collaborate with cross-functional teams to integrate LLM technologies into various applications.

-Perform data analysis and visualization to support research and development efforts.

-Document research findings and contribute to technical reports and publications.

-Participate in team meetings and brainstorming sessions to share ideas and insights


Qualifications & profile 

-Currently doing a Phd from tier 1 engineering schools / Universities.

-High scientific understanding of the field of generative AI. 

-Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications.

-Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar.

-Familiarity with natural language processing techniques and machine learning algorithms.

-Design complex software and make them usable in production. 

-Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage. 

-Previous experience with LLMs or related technologies.

-Knowledge of deep learning frameworks and techniques..Experience with version control systems (e.g., Git) and linux shell environment.


Now, it would be ideal if you : 

-Have experience in fine tuning LLMs.

-Have used complex HPC infrastructure with full autonomy.


Benefits 

Attractive cash compensation

Top Skills

Python
The Company
HQ: Paris
92 Employees
On-site Workplace
Year Founded: 2023

What We Do

Fast, open-source and secure language models. Facilitated specialisation of models on business use-cases, leveraging private data and usage feedback.

Built from a world-class team in Europe, targeting global market. Join the team ! https://jobs.lever.co/mistral/

Similar Jobs

Sunnyvale, CA, USA
166834 Employees
185K-200K Annually
Mountain View, CA, USA
1218 Employees
136K-210K Annually

Connectly.ai Logo Connectly.ai

AI Research Engineer

Software • Business Intelligence
San Francisco, CA, USA
32 Employees

Similar Companies Hiring

Eastwall Thumbnail
Software • Information Technology • Consulting • Cloud • Big Data Analytics • Artificial Intelligence • App development
Denver, CO
20 Employees
Smartcat Thumbnail
Natural Language Processing • Machine Learning • Conversational AI • Artificial Intelligence
Boston, Massachusetts
242 Employees
RunPod Thumbnail
Software • Infrastructure as a Service (IaaS) • Cloud • Artificial Intelligence
Charlotte, North Carolina
53 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account