Benefits:

• Competitive Total Compensation Package

• Merit-based Annual Raises

• Excellent Mentorship Program & Exceptional Training Programs

• Opportunities for Professional Growth & Advancement

• Comprehensive Benefits including Health, Dental, & Vision Insurance

Education Requirements:

• High School Diploma

Other Requirements:

• Must clear a current background check through the FBI and DOJ

• A current TB Test

• Reliable transportation and hold appropriate automobile insurance with limits that allow driving a personal vehicle for work (25/50k liability coverage)

Responsibilities:

• Full ownership of data science direction and capabilities

• Improving the product from the data layer up

• Bringing scientific rigor and statistical methods to product creation, development, and improvements

• Appreciation for user experience

Benefits:

• Stock options/Equity plan

• MacBook & equipment

• Hybrid & remote work

• Conferences & events attendance

• Book allowance

Benefits:

• Stock options/Equity plan

• MacBook & equipment

• Hybrid & remote work

• Conferences & events attendance

• Book allowance

Benefits:

• Stock options/Equity plan

• MacBook & equipment

• Hybrid & remote work

• Conferences & events attendance

• Book allowance

Benefits:

• Medical, dental, vision, and an employee assistance program

• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

Education Requirements:

• A bachelor’s or master’s degree in a relevant field with a desire to enter a PhD program in the next 1-3 years, or currently enrolled in a related PhD program

Responsibilities:

• Support a high-impact research project

• Contribute to training and releasing leading models

• Collaborate with and learn from teams and individuals across Ai2

• Author scientific papers

Benefits:

• Medical, dental, vision, and an employee assistance program

• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

Education Requirements:

• A bachelor’s or master’s degree in a relevant field with a desire to enter a PhD program in the next 1-3 years, or currently enrolled in a related PhD program

Responsibilities:

• Gain strong research experience through direct collaboration with Ai2 researchers

• Co-author papers with Ai2 researchers and get published in top venues

• Learn about and leverage Ai2’s data, engineering infrastructure, and research tools

• Gain industry experience in a supportive, agile, mission-driven environment

Benefits:

• Medical, dental, vision, and an employee assistance program

• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

Education Requirements:

• PhD candidate or a master/undergraduate student with a strong research background

Experience Requirements:

• Pursuing a degree in Computer Science or similar field with research experience in machine learning, natural language processing, language and vision, or related areas

• Strong software engineering skills, especially with deep learning frameworks (e.g. PyTorch)

Other Requirements:

• Strong publication record at AI-related venues (bonus)

• Research experience in related areas (bonus)

• Contributions to open-source research libraries (bonus)

Responsibilities:

• Define and lead a high-impact research project

• Train and release leading models

• Collaborate with and learn from team members across Ai2

• Build open-source software

• Author scientific papers

Benefits:

• Medical, dental, vision, and an employee assistance program

• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

Education Requirements:

• PhD candidate or a master/undergraduate student with a strong research background

Experience Requirements:

• Pursuing a degree in Computer Science or similar field with research experience in computer vision, robotics, machine learning, natural language processing, language and vision, or related areas

• Strong software engineering skills, especially with deep learning frameworks (e.g. PyTorch)

Other Requirements:

• Strong publication record at vision- or AI-related venues (bonus)

• Research experience in related areas (bonus)

• Contributions to open-source research libraries (bonus)

Responsibilities:

• Reading the scientific literature

• Executing AI research

• Meeting with mentor to discuss research progress

Benefits:

• Medical, dental, vision, and an employee assistance program

• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

Education Requirements:

• PhD candidate or a master/undergraduate student with a strong research background

Experience Requirements:

• Student completing a PhD with research experience in Computer Science or related field

• Strong publication record in AI-related areas

• Strong software engineering skills

Responsibilities:

• Conduct high-impact research and author scientific papers

• Collaborate with and learn from a dedicated Ai2 mentor

• Implement and share open-source software

• Help develop collaborative relationships with relevant organizations

Benefits:

• Medical, dental, vision, and an employee assistance program

• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

Education Requirements:

• PhD candidate or a master/undergraduate student with a strong research background

Experience Requirements:

• Student completing a PhD or a Master/Undergraduate with research experience

• Strong publication record in AI-related areas

• Strong software engineering skills

Responsibilities:

• Conduct high-impact research and author scientific papers

• Collaborate with and learn from a dedicated Ai2 mentor

• Implement and share open-source software

• Help develop collaborative relationships with relevant organizations

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program

• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

• Annual bonuses, long-term incentive plan

Education Requirements:

• Ph. D. in computer or computational science, atmospheric science or a related geophysical science, or applied mathematics/statistics

Experience Requirements:

• Substantial experience building and deploying a relevant ML application

• Fluency in Python and collaborative coding practices

• Excellent communications skills

Other Requirements:

• Formal training and/or practical experience with physically-based models (bonus)

• Experience using machine learning skills in a professional or postdoctoral position (bonus)

• Formal graduate-level ML coursework (bonus)

Responsibilities:

• Collaboratively design and deploy ML system for efficient climate models

• Implement and improve generative AI methods

• Create an open-source product

• Disseminate new methods and findings

• Work with team members and external collaborators

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program

• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

• Annual bonuses, long-term incentive plan

Education Requirements:

• PhD with a focus on natural language processing or a closely related area

Experience Requirements:

• Experience holding a faculty, industry, or government researcher position

• Publication track record in pre-training/post-training language models, data analysis, generative AI, experimental methodology, deep learning science, or efficient deep learning algorithms

Other Requirements:

• Excitement about collaboration and teamwork

• Experience leading a team in solving analytical problems

• Past contributions to open-source research libraries (plus)

Responsibilities:

• Contribute to open-source research environment

• Author and present scientific papers

• Take a leading role in implementing software systems

• Collaborate with and learn from team members

• Mentor early-career researchers and interns

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program

• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending accounts

• 401k plan

• Commuting/internet expenses ($125/month), fitness/wellness allowance ($200/month)

• Annual bonuses, long-term incentive plan

Education Requirements:

• Strong foundation in computer vision, machine learning, (M-)LLMs, foundation models, robotics, embodied AI, natural language processing, knowledge representation and reasoning, and agents

Experience Requirements:

• Strong publication record in AI-related areas

• Strong software engineering skills

• Research experience in related areas (bonus)

• Contributions to open-source research libraries (bonus)

Responsibilities:

• Work on research problems that can improve vision and multimodal models

• Contribute to the development of open foundation models

• Experiment with mobile robots in the real world

• Lead select projects

• Mentor interns and pre-doctoral candidates

Benefits:

• Flexible working hours

• Learning experience in Conversational AI Industry

Education Requirements:

• Bachelor/Master degree in Computer Science or related fields with 2+ years academic/industrial experience in AI/ML/NLP based software development

Experience Requirements:

• Experience with one or more general purpose programming languages including but not limited to: JS, Python, Golang or C/C++

• Experience in the development of production-level AI application leveraging various LLMs (including prompt engineering best practices)

• Exposure to Deep Learning, NLP, LLM, or related fields and a strong interest and desire to learn about them

Responsibilities:

• Join projects, design, implement, test, and release high-quality Generative AI features to satisfy demands

• Follow the latest trend of NLP technologies especially LLM, Agents, RAG, Embeddings, and VectorDB and explore their applicability for business needs

• Create technical documentation, and communicate clearly across the product team

• Support team members to review, feedback, and onboard

Benefits:

• Interesting tasks in a successful and growing startup

• Thorough and individual training in the team

• Nice colleagues

• Insights into future-oriented solutions for the tourism industry

• Redundant high-end caffeine supply

Education Requirements:

• Studying tourism or comparable training

Experience Requirements:

• Digital spirit

• Enthusiasm for new technologies

• At least 3 months of time

Responsibilities:

• Helping to train and improve the artificial intelligence

• Using human intelligence and tourism expertise

• Analyzing travel preferences and deriving recommendations

Experience Requirements:

• Interest for NLP, Machine Learning and Data Science

• Basic knowledge of Python

• Basic knowledge of MySQL or MongoDB

• Curiosity, Autonomy, Creativity

• Problem-solving attitude

Other Requirements:

• Working language is EN, knowledge of FR and/or NL is a clear plus. Partial remote work is possible but weekly presence in Brussels office is mandatory

Responsibilities:

• Learn and develop new algorithms and technologies to improve our matchmaking engine

• Develop evaluation processes for quality improvement

• Identify valuable data sources

• Transform large unstructured dataset into consumable information

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Linguistics, or a related field

Experience Requirements:

• 2+ years of experience in Data Science, focusing on NLP, prompt engineering, or deep learning

Other Requirements:

• Proficiency in Python and familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face)

• Strong understanding of NLP techniques and machine learning principles, including sentiment analysis, word embedding, text classification, and Transformer models (e.g., GPT, BERT)

• Experience with developing, optimizing, and evaluating prompts to improve AI model responses

• Experience with large language models (e.g., GPT-4, Llama3) and their applications in customer service or other domains

• Knowledge of data visualization tools and techniques to communicate complex data insights effectively

• Background in linguistics or computational linguistics

• Experience with agile development methodologies and big data platforms like Hadoop or Spark

• Excellent analytical, problem-solving, and communication skills

• Ability to work collaboratively in a team environment, manage multiple projects simultaneously, and document complex processes effectively

• Self-motivated with a passion for continuous learning and innovation in AI

Responsibilities:

• Prompt Engineering and Development

• Model Design and Implementation

• Benchmarking and Evaluation

• Collaboration and Communication

• Documentation and Research

Education Requirements:

• Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field

Experience Requirements:

• 2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models

Other Requirements:

• Strong programming skills in Python or other relevant programming languages

• Experience with machine learning libraries such as TensorFlow, PyTorch, or Keras

• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.

• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques

• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.

• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies

• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation

• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development

• Strong problem-solving and analytical skills

• Excellent communication and collaboration abilities

• Optional: Experience with big data platforms such as Hadoop or Spark

Responsibilities:

• Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements

• Analyze large datasets and develop models that can be used to make predictions, generate responses or summaries, identify patterns etc.

• Develop and improve existing models to increase accuracy, efficiency, and effectiveness

• Work closely with cross-functional teams to identify and prioritize business problems, and develop solutions to address them

• Communicate findings and insights to stakeholders in a clear and concise manner

Experience Requirements:

• 3+ years of experience as a data scientist, preferably in a product development environment, with a focus on building NLP/LLMs or Deep Learning models

Other Requirements:

• Strong programming skills in Python or other relevant programming languages

• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)

• Deep understanding of statistical analysis, probability theory, and experimental design

• Experience with LLMs, deep learning, NLP and chatbot development

• Excellent communication skills, including the ability to explain complex concepts to technical and non-technical stakeholders

• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.

• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques

• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.

• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies

• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation

• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development

• Strong problem-solving and analytical skills

• Optional: Experience with large-scale data processing technologies (e.g., Hadoop, Spark) and distributed computing systems

Responsibilities:

• Design, develop and deploy machine learning models and algorithms for NLP/LLMs or deep learning models at scale to solve complex business problems

• Work with large datasets, perform data analysis and develop data pipelines to support model development

• Collaborate with Product & Engineering teams to integrate machine learning solutions into products and services

• Conduct experiments, test hypotheses, and perform statistical analysis to validate models and drive improvements

• Communicate findings and insights to stakeholders in a clear and concise manner