Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

• PhD in AI from a top engineering school or 3+ years of work experience as an AI engineer

• Experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Experience Requirements:

• PhD in AI from a top engineering school or 3+ years of work experience as an AI engineer

• Experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

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:

• build state-of-the art AI technologies

• interact closely with developers and product teams to build a technology which will have a direct impact on our users

• contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

• Experience developing state-of-the-art machine learning technologies

Experience Requirements:

• Experience developing state-of-the-art machine learning technologies

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 AI technologies which will directly impact a product

• Fast learner able to adapt to challenging environments

Responsibilities:

• build state-of-the art machine learning models

• interact closely with developers and product teams to build a technology which will have a direct impact on our users

• contribute to a strong mission where AI 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

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

Responsibilities:

• Guide AI inference products from conception to launch

• Connect technical and business worlds

• Break down complex problems into actionable steps

Responsibilities:

• Develop robust RPC APIs and backend systems

• Focus on billing and authentication services

Responsibilities:

• Deliver AI applications to the world

• Help others succeed with Inference.ai platform

Experience Requirements:

• Proficient in Node.Js, Javascript, React, Typescript, HTML, CSS, Nest.Js and Prisma frameworks

• Knowledge of Sigma.Js, D3.js, Graphology, and Cytoscape libararies

Responsibilities:

• Honing the UI

• Making the app ready for mobile

Experience Requirements:

• Proficient in Node.Js and Javascript

• Knowledge of React and Nest.Js / Prisma frameworks

• Good knowledge of PostgreSQL and DevOps operations

• Knowledge of Python

Responsibilities:

• Optimizing the backend workflow

• Working on the InfraNodus API

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

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

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:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage

Benefits:

• Competitive Salaries

• Stock Options

• Health Coverage

• Dental Coverage

• Vision Coverage