Software Engineer, Mistral AI

Deployment

Salary not provided

+ Bonus structure + Equity

Docker

Kubernetes

Python

Terraform

Senior and Expert level

New York

San Francisco Bay Area

Visa sponsorship

Generative AI model developers

Open for applications

Generative AI model developers

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Open for applications

Salary not provided

+ Bonus structure + Equity

Docker

Kubernetes

Python

Terraform

Senior and Expert level

New York

San Francisco Bay Area

Visa sponsorship

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

5+ years of relevant professional work experience
Master’s degree in Computer Science, Information Technology or a related field
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 experienced backend software engineers (Python, Docker, K8s) to join our Engineering team. You'll help deploy and integrate our models and APIs across multiple infrastructure configurations, from leading cloud service providers to on-premises solutions
You'll work closely with the research, product, solution architect and program management teams to serve our frontier models to customers wherever they use our technology
New releases – you will ensure fast and reliable launch of new models and new features to customers
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
Resource Optimization – you will help measure and optimize the allocation of the chips that serve our models to make the best use of costly resources

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

$545m

SERIES B

Feb 2024

$17.5m

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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