Software Engineer, Mistral AI

Backend

Salary not provided

+ Equity + Bonus structure

Docker

Kubernetes

Python

Terraform

Senior and Expert level

San Francisco Bay Area

Visa sponsorship

Office located in Palo Alto, CA

Generative AI model developers

Job no longer available

Generative AI model developers

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Job no longer available

Salary not provided

+ Equity + Bonus structure

Docker

Kubernetes

Python

Terraform

Senior and Expert level

San Francisco Bay Area

Visa sponsorship

Office located in Palo Alto, CA

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Company mission

To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.

Job

Company

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 large-scale and complex distributed systems
Excellent proficiency in backend software development (Python)
Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
Autonomous and self-starter profile
Ability to communicate with influence

What the job involves

We are seeking talented and experienced software engineers to join our Engineering team
You'll work closely with the research, product, solution and program management teams to serve our frontier models to customers wherever they use our technology
You will be involved in key components of our technology, including model deployment, performance optimization, real time streaming services, DX tools implementation, cloud infrastructure management
The role is based in Palo Alto and reports to the Head of Engineering
New model releases – you will ensure fast and reliable launch of new models and new features to customers
System design and development – help build systems, APIs and interfaces to interact with large language models
Build and test infrastructure – you will work to improve and extend the infrastructure needed to package, deploy and integrate our core technology within first-party systems and third-party platforms
Safety – you will help solve the unique challenges that come with maintaining AI safety on third-party platforms
Observability and Monitoring – you will collaborate closely with both internal and external stakeholders to ensure our services achieve high availability and deliver state-of-the-art performance for our users
Performance and Resource Optimization – You will be responsible for identifying and solving complex system problems, with the aim to optimize the performance (latency and throughput) of multiple layers of large-scale distributed systems

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

$529m

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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