Applied Scientist / Research Engineer - Time Series - EMEA

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on

About The Job

Mistral AI is seeking Applied Scientists and Research Engineers specializing in time-series modeling to build SOTA forecasting, detection, and control systems across domains such as finance, energy, IoT, healthcare, and operations. You will design foundation-style temporal models and hybrids (LLM + TS), and deploy them in latency-sensitive, reliability-critical environments. You'll partner with clients to translate raw telemetry into actionable insights.

What you will do

• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don't panic when you see OOM errors or when NCCL feels like not wanting to talk.

• Pre-train and fine-tune time series foundational models for downstream applications in various industries

• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.

• Manage research projects and communications with client research teams.

About you

• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.

• You're an expert with PyTorch or JAX.

• You're not afraid of contributing to a big codebase and can find yourself around independently with little guidance.

• You write clean, readable, high-performance, fault-tolerant Python code.

• You don't need roadmaps: you just do. You don't need a manager: you just ship.

• Low-ego, collaborative and eager to learn.

• You have a track record of success through personal projects, professional projects or in academia.

• Proven work with time-series modeling and transformers models applied to time-series: forecasting, anomaly/change-point detection, irregular sampling, multivariate and hierarchical series.

It would be great if you

• Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you're an exceptional candidate from a different background, you should apply.

• Have contributed to a large codebase used by many (open source or in the industry).

• Have a track record of publications in top academic journals or conferences.

• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.

Benefits

We have local offices in Paris, London, Marseille, Singapore and Palo Alto.

France

Competitive cash salary and equity

Food : Daily lunch vouchers

Sport : Monthly contribution to a Gympass subscription

Transportation : Monthly contribution to a mobility pass

Health : Full health insurance for you and your family

Parental : Generous parental leave policy

Visa sponsorship

UK

Competitive cash salary and equity

Insurance

Transportation: Reimburse office parking charges, or 90GBP/month for public transport

Sport: 90GBP/month reimbursement for gym membership

Meal voucher: £200 monthly allowance for its meals

Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.