AI Jobs

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

Experience Requirements:

• Previous experience working on end-to-end data science projects is preferred

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• solve complex data science problems

• work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• implement high-value data-oriented for our software to bring the highest value to our customers

• contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Computer Science, Software Engineering or equivalent work experience

• 3+ years of experience as a full-stack engineer

• Experience developing and managing AI infrastructure

Experience Requirements:

• 3+ years of experience as a full-stack engineer

• Experience developing and managing AI infrastructure

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Fast learner able to adapt to challenging environments

Responsibilities:

• be at the heart of the technology development

• contribute to a strong mission where software is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

Experience Requirements:

• Previous experience working on end-to-end data science projects

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• solve complex data science problems

• work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• implement high-value data-oriented for our software to bring the highest value to our customers

• contribute to a strong mission where AI is key

Benefits:

• Be part of a high-growth company that places innovation and client satisfaction at the heart of its strategy

• Work in a collaborative, dynamic environment that supports personal and professional development

• Have the opportunity to work with cutting-edge technology solutions that are transforming businesses

Education Requirements:

• Degree in Business, Marketing, or Engineering

Experience Requirements:

• Proven experience in B2B sales, preferably in technology or artificial intelligence

Other Requirements:

• Excellent communication and negotiation skills

• Familiarity with complex sales cycles and corporate decision-making processes

• Ability to work independently while demonstrating strong teamwork skills

• Highly organized, proactive, and able to manage multiple projects simultaneously

• Proficiency with CRM tools and sales reporting

Responsibilities:

• Prospecting and Business Development

• Client Relationship Management

• Presentations and Demonstrations

• Negotiation and Closing

• Market Analysis

Benefits:

• Work on cutting-edge technology in ambitious research projects

• Thrive in a dynamic company that values new ideas and innovation

• Contribute to impactful projects across various high-growth sectors

Education Requirements:

• Advanced degree in computer science, data science, or artificial intelligence

Experience Requirements:

• Experience in applied AI research

Other Requirements:

• Strong algorithmic skills and experience in data analysis

• Solid foundation in machine learning and deep learning concepts

• Experience using and customizing large language models (LLMs) for specific applications

• Proficiency in programming languages and tools: Python, ML libraries (TensorFlow, PyTorch), and data science tools (Pandas, NumPy)

• Ability to document work thoroughly and produce scientific reports or publications

• Curiosity, analytical mindset, and scientific rigor

Responsibilities:

• Research and Development

• Development and Implementation

• Algorithmic Skills

• Data Manipulation and Analysis

• Documentation and Publication

Education Requirements:

• Computer science education or equivalent experience

Experience Requirements:

• 7+ years experience

• 2+ years experience in a leadership role with current technical experience

Other Requirements:

• Ability to use SCM(Source Code Management ) such as GitHub, GitLab

• Exquisite brokering skills, regularly achieve consensus amongst departments

• In-depth technical experience in at least one of the core languages, frameworks, or technologies used by your team

• Excellent written and verbal communication skills

Responsibilities:

• Responsible for the growth of the team

• Run agile project management processes

• Provide guidance and coaching to team members on technical contributions, product architecture, and other areas

• Maintain empathy for the team by keeping awareness of engineering processes and practices e.g. evaluating individual work during one on ones, conducting code reviews, or working on non-critical path bugs and/or features

• Create a safe environment for the members to work

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Education Requirements:

• Bachelor's degree in computer science, software engineering, or related field

Experience Requirements:

• > 3 years

Other Requirements:

• Experience in optimization and automation for customer support systems

• Experience working with blockchains

• Experience with threshold protocols (MPC)

• Experience writing code in Rust

• Experience using AWS

Responsibilities:

• Follow up on technical support queries and provide prompt feedback

• Track and prioritize customer queries and issues, and escalate to the team as needed

• Contribute to bug fixes and features in the code base

• Establish solid troubleshooting processes

• Work with team leaders to incorporate user feedback into roadmaps

Education Requirements:

• Master's Degree

Experience Requirements:

• > 1 year

Other Requirements:

• Serious Rust background

• Experience with at least one of: Ocaml/Haskell/Scala/C++/C

• Be into open source

• Be interested in cryptography

• Have good communication skills

Responsibilities:

• Implement cryptographic algorithms

• Make the library fast, reliable, and polished

• Design efficient and user-friendly APIs

• Improve the performance of the library with hardware or software optimizations

• Benchmark and test the various cryptographic operations

Education Requirements:

• Bachelor's degree in computer science, software engineering, or related field

Experience Requirements:

• > 5 years

Other Requirements:

• Willingness to learn about FHE, ZK, and MPC

Responsibilities:

• Work with cryptographers and engineers to design, implement, and maintain our TKMS

• Help maintain a high level of security, including conducting code reviews

• Stay up-to-date with the latest developments in secure coding practices

• Work with DevOps to deploy our solution to production

• Create and maintain documentation

Benefits:

• Plan d’actionnariat salarié

• Tickets restaurant

• Budget sport

• Mutuelle santé prise en charge à 100%

• Séminaires & formations professionnelles

Experience Requirements:

• > 3 years

Responsibilities:

• Core Backend Development

• Infrastructure and Orchestration

• Event-Driven Architecture

• Cloud Operations

• Monitoring and Observability

Benefits:

• Equity

• Comprehensive health insurance

• Meal vouchers

• Sport subscription

• Unlimited access to books and online courses

Education Requirements:

• Bac +5 / Master

Experience Requirements:

• > 3 years

Responsibilities:

• Core Backend Development

• Infrastructure and Orchestration

• Event-Driven Architecture

• Cloud Operations

• Monitoring and Observability

Benefits:

• Equity Options

• Prime Office Location (Station F)

• Work Flexibility

• Medical Insurance

• Career Growth Opportunities (training, workshops, courses)

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

Experience Requirements:

• Proven expertise in Full-Stack Development

• Proficiency in Front-End and Back-End Web Development

• Foundation in Data Science and AI Solutions

• Familiarity with Amazon Web Services (AWS) and Serverless Computing paradigms

Other Requirements:

• Exceptional problem-solving skills

• Attention to detail

• Autonomy

Responsibilities:

• Design, develop, and deploy full-stack solutions

• Collaborate on ideation, prototyping, and implementation of new functionalities

• Continuously learn and apply emerging technologies in AI, machine learning, and cloud services

• Maintain and improve code quality, organization, and automatization

Benefits:

• Supportive and flexible environment

• High level of autonomy

• Valuable learning opportunities

• Impact on evolving product

Benefits:

• Supportive and flexible environment

• High level of autonomy

• Valuable learning opportunities

• Impact on evolving product

Benefits:

• Supportive and flexible environment

• High level of autonomy

• Valuable learning opportunities

• Impact on evolving product

Benefits:

• Supportive and flexible environment

• High level of autonomy

• Valuable learning opportunities

• Impact on evolving product