At a Glance
- Tasks: Drive innovative research in multimodal learning and collaborate on complex AI projects.
- Company: Join Mistral AI, a pioneering company shaping the future of AI in Singapore.
- Benefits: Competitive salary, health insurance, gym and meal allowances, plus transport reimbursements.
- Why this job: Make a meaningful impact with cutting-edge AI technology in a dynamic, collaborative environment.
- Qualifications: Expertise in PyTorch or JAX, with experience in multimodal applications and strong communication skills.
- Other info: Exciting opportunity for career growth in a diverse, low-ego team passionate about AI.
The predicted salary is between 80000 - 100000 ÂŁ per year.
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.
About The Job
Mistral AI is seeking world class Applied Scientists and Research Engineers who wish to relocate to Singapore. You will be focused on multimodal learning (text, image, audio, video) to drive innovative research and collaborate with clients on complex projects. You will design, train, and deploy state‑of‑the‑art multimodal models (e.g., Omni‑models, VLMs, Audio, Image generation, Robotics and much more) and apply them to diverse use cases: enterprise search, agents grounded in images and documents, video understanding, and speech interfaces. You’ll work cross‑functionally with internal and external science, engineering, and product teams to deliver high‑impact AI solutions.
What you will do
- Run pre‑training, post‑training and deploy state of the art models on clusters with thousands of GPUs.
- Generate and curate multimodal datasets (web‑scale image‑text, document‑image, audio‑text, video‑text), and build robust evaluators/benchmarks for perception, grounding, OCR, and captioning.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross‑functional teams to tackle complex use cases using agents and RAG pipelines.
- 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 have experience in one of the following: VLMs, diffusion for image/video, audio processing (ASR/TTS), image processing, robotics.
- 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.
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.
- Can bring a variety of research experience (agents, multi‑modality, robotics, diffusion, time‑series).
- 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 Singapore
- đź’° Competitive cash salary and equity
- đźš‘ Health Insurance
- 🥎 Sport: $90 for gym membership allowance
- 🥕 Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)
- đźš´ Transportation: $120/month for public transport or Parking charges reimbursed
Applied Scientist / Research Engineer - Multimodal (Come to Singapore) employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist / Research Engineer - Multimodal (Come to Singapore)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Mistral AI. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to multimodal learning. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common questions for Applied Scientists and Research Engineers, and practice explaining complex concepts in simple terms. Remember, they want to see how you think and communicate.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Mistral AI team.
We think you need these skills to ace Applied Scientist / Research Engineer - Multimodal (Come to Singapore)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied Scientist/Research Engineer role. Highlight your experience with multimodal learning and any relevant projects you've worked on. We want to see how your skills align with what we do at Mistral!
Showcase Your Technical Skills: Don’t hold back on showcasing your expertise in PyTorch or JAX. Include specific examples of how you've used these tools in past projects. We love seeing clean, high-performance code, so if you have a GitHub or portfolio, link it up!
Communicate Clearly: Since you'll be explaining complex concepts to various audiences, make sure your application reflects your communication skills. Use clear language and avoid jargon where possible. We appreciate candidates who can bridge the gap between technical and non-technical discussions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team at Mistral!
How to prepare for a job interview at Mistral AI
✨Know Your Multimodal Stuff
Make sure you brush up on the latest in multimodal learning. Be ready to discuss your experience with text, image, audio, and video models. Mistral AI is looking for someone who can dive deep into these areas, so having specific examples from your past work will really help you stand out.
✨Show Off Your Coding Skills
Since you'll be working with PyTorch or JAX, make sure you're comfortable discussing your coding experience. Bring examples of clean, high-performance Python code you've written, and be prepared to explain your thought process behind it. This will show that you can contribute effectively to their big codebase.
✨Communicate Like a Pro
Mistral values clear communication, especially when explaining complex concepts. Practice articulating your ideas in a way that's accessible to both technical and non-technical audiences. This will demonstrate your ability to collaborate across teams, which is crucial for the role.
✨Be Ready to Tackle Challenges
Expect questions about how you handle challenges like OOM errors or debugging issues. Share specific instances where you've successfully navigated tough situations in your projects. This will highlight your problem-solving skills and your ability to thrive in a competitive environment.