Applied Scientist / Research Engineer - Time Series - EMEA

Mistral AI • Paris, TX

67d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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
• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 251-500 employees