Full-Time
AI Scientist
Safety
Posted on 2/17/2025
Mistral AI
201-500 employees
Develops and deploys large language models
Senior, Expert
H1B Sponsorship Available
London, UK
This is a hybrid role, requiring in-office work.
You match the following Mistral AI's candidate preferences
Employers are more likely to interview you if you match these preferences:
- You have a degree in Computer Science, AI, Machine Learning, or a related field. Advanced degrees (MSc, PhD) are preferred.
- You are familiar with Python and you are a highly proficient software engineer in at least one programming language (e.g. Python, Rust, Go, Java).
- You have hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax).
- You have high technical engineering competence. This means being able to design complex software and make them usable in production.
- You have a high scientific track record in a field of science.
- You are a self-starter, autonomous and low-ego.
- Collaborative and have a real team player mindset.
- Design and execute adversarial attacks to uncover vulnerabilities in LLMs.
- Evaluate potential risks and harms associated with LLM outputs.
- Assess LLMs for biases and unfairness in their responses, and develop strategies to mitigate these issues.
- Develop monitoring systems (e.g. moderation tools) to detect unwanted behaviors in Mistral’s products.
- Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale.
- Investigate and respond to incidents involving LLM misuse or harmful outputs, and develop post-incident recommendations.
- Analyze user reports of inappropriate content or accounts.
- Contribute to the development of AI ethics policies and guidelines that govern the responsible use of LLMs.
- Work on safety tuning to improve robustness of models.
- Collaborate with the AI development team to create and implement safety measures, such as content filters, moderation tools, and model fine-tuning techniques.
- Keep up-to-date with the latest research and trends in AI safety, LLMs, and responsible AI, and continuously improve our safety practices.
- You have proven experience in AI safety, responsible AI, or a related field. Familiarity with LLMs and their potential risks is essential.
- You have hands-on experience with Generative AI e.g. experience with transformer-based models and a broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications.
- You are able to navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage.
Mistral AI develops and deploys Large Language Models (LLMs) that can understand and generate human-like text. Their main products include an API that allows clients to access these models on a pay-as-you-go basis, making it easy for businesses of all sizes to integrate advanced AI capabilities without large upfront costs. Additionally, Mistral AI offers open-source models that can be accessed through platforms like Hugging Face, encouraging community involvement and continuous improvement of the models. Unlike many competitors, Mistral AI combines a flexible API with open-source offerings, providing clients with scalable and cost-effective solutions. The company's goal is to make sophisticated AI accessible to a diverse range of clients while fostering innovation through community contributions.
Company Size
201-500
Company Stage
Series B
Total Funding
$1B
Headquarters
Paris, France
Founded
2023
Simplify's Take
What believers are saying
- Partnership with Stellantis opens new revenue streams in the automotive industry.
- Le Chat mobile app targets both consumer and enterprise markets, emphasizing data privacy.
- Mistral Small 3 offers high performance at low costs, appealing to cost-conscious businesses.
What critics are saying
- Competition from OpenAI's cost-efficient models could challenge Mistral AI's market position.
- DeepSeek's competitive pricing and performance pose a threat to Mistral AI.
- Mistral Saba may face adoption challenges due to regional competition and accuracy needs.
What makes Mistral AI unique
- Mistral AI offers both API access and open-source models, enhancing flexibility for clients.
- The company focuses on regional language models, like Mistral Saba, for underserved markets.
- Mistral AI's business model includes a pay-as-you-go API, ensuring scalable solutions.
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Benefits
Health Insurance
Company Equity
Parental Leave
401(k) Retirement Plan
Paid Vacation
Growth & Insights and Company News
6 month growth
↑ 6%1 year growth
↑ 12%2 year growth
↑ 10%France’s tech ecosystem continues to expand, with companies raising €10.8 billion in 2024, representing 14.5 per cent of the total funding secured across Europe. The transportation sector led the way, attracting €5 billion, largely driven by €4.4 billion in debt financing secured by Automotive Cells Company to develop three gigafactories for lithium-ion battery cell production. Following closely, artificial intelligence companies raised €1.3 billion, while fintech secured €831 million in funding. In recent years, France has secured its position as one of Europe’s most dynamic tech hubs, thanks to strong government support, financial incentives, and a thriving startup culture. The country is now home to a growing list of unicorns, including Poolside, Pigment, and Pennylane, which have reached their billion-dollar valuation in 2024. Sectors such as AI, fintech, health tech, and deeptech continue to drive innovation, backed by increasing venture capital interest and international expansion efforts
Fransa merkezli yapay zeka girişimi Mistral, yeni özel eğitimli modeli Mistral Saba ile Arapça konuşulan ülkelerde faaliyet göstermeye başlıyor. Üstün Arapça etkileşimler sunmayı hedefleyen Mistral Saba, 4 milyar parametre ile görece küçük bir model olarak konumlanmakta. Bu anlamda kullanıma hazır bir model olan Mistral Saba'yı, Mistral Small 3 ile karşılaştırmak mümkün.Hatta Mistral'in yaptığı testlere göre, Mistral Saba Arapça içerikle çalışırken Mistral Small 3'ten çok daha iyi performans gösteriyor. Buna ek olarak Saba'nın Mistral'e kıyasla Tamil ve Malayalam gibi Güney Hint kökenli diller başta olmak üzere Hint kökenli dillerle de iyi çalıştığını belirtelim. Mistral Saba, Arapça konuşma desteği veya içerik üretimi için kullanılabilir. Model, dahili kullanım durumları için bazı ince ayarlı modellerin temeli olarak da kullanılabilecek. Ayrıca Mistral Saba'ya Mistral'in API'si aracılığıyla erişilebileceğini eklemekte fayda var
The next frontier for large language models (LLMs), one of the key technologies underpinning the boom in generative AI tools, might be geographical. On Monday, Paris-based AI startup Mistral — which is vying to rival the likes of U.S.-based Anthropic and OpenAI — is releasing a model that’s a bit different from its usual LLM.Named Mistral Saba, the new custom-trained model is designed to address a specific geography: Arabic speaking countries. The goal for Mistral Saba is to excel in Arabic interactions.Mistral Saba is a relatively small model with 24 billion parameters. As a reminder, fewer parameters generally leads to better performance with lower latency. But more parameters usually means smarter answers, even though it’s not a linear correlation.Mistral Saba is comparable in size to Mistral Small 3, its general purpose small model. But, according to Mistral’s own tests, Mistral Saba performs much better than Mistral Small 3 when handling Arabic content
PARIS, Feb. 11, 2025 /PRNewswire/ -- A new global public interest AI partnership, Current AI, was launched today at the AI Action Summit in Paris.Current AI is an initial $400 million investment from the French government, AI Collaborative, other leading governments, philanthropic and industry partners. The partnership aims to raise a total of $2.5 billion over the next five years.Other funders and partners include Google, John D. and Catherine T. MacArthur Foundation, Patrick J. McGovern Foundation, and Salesforce
Foundation models are large artificial intelligence (AI) models trained on humongous datasets that enable them to do a wide range of tasks across various industries. They are called foundation models because they form the backbone for other models that businesses and individuals can customize to meet their business or personal needs. Foundation models are also sometimes called frontier models if they represent the most advanced AI systems