Staff Software Engineer, Mistral AI
Performance
+ Equity
Visa sponsorship if required
Generative AI model developers
Open for applications
Generative AI model developers
101-200 employees
Open for applications
+ Equity
Visa sponsorship if required
101-200 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- 7+ years of relevant professional work experience
- Master’s degree in Computer Science, Information Technology or a related field
- Experience building and scaling complex distributed systems
- Excellent proficiency in backend software development (Python is a strong plus)
- Solid proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
- Good knowledge of cloud ecosystems
- Autonomous and self-starter
- Ability to communicate with influence
What the job involves
- We are seeking a talented and experienced software engineer to join our Engineering team. You will be responsible for identifying and solving complex system problems with the aim to optimize the overall performance in different layers (API, micro-services, databases, infrastructure), monitoring and profiling service usage, developing systems that optimize the latency, throughput and robustness of large distributed systems. The role is based in Paris, France and reports to the Head of Engineering
- Executing, deploying and productizing LLM at our scale often involves discovering and solving new and complex systems problems. As a core member of our engineering team, your will be responsible for identifying and solving these problems with the aim to optimize the overall performance of our systems
- Identifying performance issues and areas of improvement in different layers (API, micro-services, databases, infrastructure, build systems...)
- Monitoring and profiling how each services is used
- Developing systems that optimize the latency, throughput and robustness of our large-scale distributed systems
- Spreading a performance culture and best practices in the engineering team
- Optimizing API Latency (caching, CDNs, db queries, load balancing, threading..)
- Implement caching strategies to store frequently requested data / precomputing data
- Setting up performance monitoring tools to track response times
- Implement low-latency high-throughput sampling for large language models
- Write custom load-balancing algorithms to optimize serving efficiency
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
With the upcoming release of Mixtral in 2024, featuring up to 176 billion parameters, Mistral is under pressure to deliver. Mixtral's open-source nature has sparked concerns about potential misuse, yet Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
Recently, Mistral secured a massive $640 million funding round, raising its valuation to $6 billion. This Series A funding, led by General Catalyst and including investors like Lightspeed Venture Partners and Andreessen Horowitz, underscores significant interest in alternatives to ChatGPT.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jun 2024
$528.2m
SERIES B
Feb 2024
$17m
SERIES A
Total funding: $1.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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