Benefits:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment

Benefits:

• Competitive salary, benefits and stock options.

• 401(k) plan for employees.

• Comprehensive health, dental, and vision insurance.

• The latest and best office equipment

Experience Requirements:

• Strong mathematical and statistical background with deep insights into machine learning algorithms.

• Familiar with deep learning models (ResNet, Transformer, etc.) and generative AI algorithms (Diffusion, GAN, VAE, Flow-based models, etc.).

• Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch.

• Experience in model training and performance optimization

Other Requirements:

• 3+ years of practical work experience in AI, with hands-on development experience.

• Experience of multimodal training such as 3D, video generation, or computer vision methods.

• Contributions to popular open-source machine learning projects.

• Publications in top-tier AI/ML/CV conferences

Responsibilities:

• innovate and build our core 3D foundation models

• tackle challenging algorithm design problems

Benefits:

• Competitive salary

• Stock options

• Flexible paid time off

• International team offsites

• No wasteful meetings

Education Requirements:

• Master's or Ph.D. degree in Computer Science, Machine Learning, or related field

Experience Requirements:

• Computer Vision, Pattern Recognition, Neural Networks, and Algorithms skills

• Strong background in Computer Science

• Proficiency in applying statistical methods

• Experience in developing and implementing machine learning models

• Experience in developing and implementing generative sequential and computer vision models

Responsibilities:

• developing multi-modal (audio and video) models for human avatars

• working with neural networks

• analyzing statistics

• designing efficient algorithms

• Ensure the quality and consistency of AI-generated content through rigorous testing and evaluation

Benefits:

• Competitive Compensation + Equity

• 401k Plan

• Medical, Dental, Vision Insurance

• Gear Stipend

• Professional Development Stipend

Benefits:

• Professional development

• Flat company structure

• Pioneering mindset of innovative people around

• Competitive and dynamic salary system

• Immediate insight into the efficiency of your contributions

Education Requirements:

• PhD or Master’s degree specialized in Deep Learning or equivalent experience

Experience Requirements:

• 8+ years of experience building deep learning models.

• Demonstrated expertise in deep learning techniques and models, particularly in generative models.

• Track record of leading and delivering research projects in live production environments.

• Extensive familiarity with state-of-the-art deep learning techniques in the Audio Domain, including Flow matching, Diffusion, GANs, VAEs, Vocoder, and related methodologies.

• Experience in patents or publications in top-tier peer-reviewed conferences or journals

Other Requirements:

• Excellent communication and interpersonal skills

Responsibilities:

• Manage research projects, ensuring timely completion.

• Collaborate with other teams to integrate AI technologies into real-world products.

• Provide strategic guidance to AI/ML research scientists and engineers.

• Develop and implement effective research strategies.

• Establish short and long-term research agendas.

Benefits:

• Remote-first team

• Personal learning budget

• Flexible days off

• Recharging budget

• Biannual company retreats and team gatherings

Education Requirements:

• Educational background in software engineering, computer graphics, computer vision, machine learning, AI, or related disciplines

Experience Requirements:

• 4+ years of experience working with Computer Vision and Deep Learning

• Broad knowledge of the games industry and expertise in applying technology to creative tools, art creation, and 3D/mesh workflows

• Proficiency in writing code, particularly in Python

• Past projects that demonstrate experience, such as research papers, demos, or products

Other Requirements:

• Product-focused mindset

Responsibilities:

• Applying generative AI for 3D content creation and shipping it as part of the product

• Collaborating closely with 3D artists and engineers to iterate and improve solutions

• Inspiring innovation and coming up with creative and useful applications of AI to enhance the product

Benefits:

• Growth & Opportunities

• Learning & Development

• Rewards & Recognition

• Parties & Celebrations

• Health & Well-being

Experience Requirements:

• 5+ Years

Benefits:

• Growth & Opportunities

• Learning & Development

• Rewards & Recognition

• Parties & Celebrations

• Health & Well-being

Experience Requirements:

• 6-9 Years

Benefits:

• Be at the cutting edge of generative AI technology

• Enjoy the perks of full remote work and flexible hours

• Learn from top-tier leadership

• Join our dynamic, international team

• Chart a clear career trajectory

Education Requirements:

• Master's degree in Computer Science, AI, Deep Learning, or related field

Experience Requirements:

• Minimum 5 years of industry experience

Responsibilities:

• Develop and enhance note-creation processes

• Build interfaces for clinical researchers

• Design and conduct experiments

• Implement and refine Question Answering and Knowledge Retrieval technologies

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:

• 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

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

• Proven 5+ years of experience as an AI Analyst or similar role with a focus on data analytics and AI integration

Other Requirements:

• Experience in developing and deploying generative AI models is an advantage

• Good understanding of Prompt writing and evaluation

• Proficiency in Python and relevant AI libraries/frameworks (e.g., TensorFlow, PyTorch)

• Strong understanding of machine learning algorithms and natural language processing

• Solid experience with SQL for data manipulation and analysis

• Strong analytical and problem-solving abilities to derive actionable insights from complex datasets

• Excellent communication skills to translate technical concepts for varied audiences

• Proven ability to work effectively in cross-functional teams, promoting innovation and continuous improvement

• Capability to thrive in a fast-paced, dynamic environment while proactively identifying AI-driven improvements in chatbot functionalities

Responsibilities:

• Requirement Analysis

• Data Exploration and Analysis

• Feasibility Assessment

• Model Selection and Design

• Implementation and Deployment