Senior Software Engineer, Mistral AI

Data Engineering

Salary not provided

+ Equity

SQL

Python

Kafka

Hadoop

Redshift

Spark

Snowflake

Flink

BigQuery

Hive

Senior and Expert level

Paris

Visa sponsorship available

Generative AI model developers

Open for applications

Generative AI model developers

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Open for applications

Salary not provided

+ Equity

SQL

Python

Kafka

Hadoop

Redshift

Spark

Snowflake

Flink

BigQuery

Hive

Senior and Expert level

Paris

Visa sponsorship available

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

Degree in Computer Science, Engineering, or a related field
Proven experience as a Software Engineer with a strong focus on Data engineering work
Strong proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark, Hive)
Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake)
Deep proficiency of programming languages in Python
Experience designing or maintaining distributed system
Strong problem-solving skills and attention to detail
Excellent communication and collaboration skills
Experience with real-time data processing and streaming platforms (e.g., Kafka, Flink)
Ability to work in a fast-paced startup environment

What the job involves

We are seeking a talented Senior Software Engineer to help design, build, and maintain our data infrastructure, ensuring that our data is accurate, accessible, and secure.
You will work with large volumes of data, enabling both science and business teams to access secure and reliable data quickly
Your contributions will support our science team in enhancing the quality of our state-of-the-art AI models and assist business users in making informed decisions
Design, develop, and maintain scalable data pipelines and ETL processes
Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions
Support our AI scientists to help them access data to improve our Large language models accuracy and performance
Ensure data integrity, quality, and security across all data platforms
Develop and implement data warehousing and data lake solutions
Optimize data queries and improve data processing performance. Monitor and troubleshoot data-related issues and incidents
Stay up-to-date with the latest data engineering technologies and best practices
Contribute to the development of data governance policies and procedures

Application process

Recruiter Screening (45min)
Hiring Manager Interview (30min)
Live-Coding interview (60min)
System Design Interview (60min)
Culture-fit discussion (30min)

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

$508.9m

SERIES B

Feb 2024

$16.4m

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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