Education Requirements:

• Ph.D. in Computer Science, Machine Learning, Data Science, or a related field

Experience Requirements:

• 5+ years of experience as a machine learning scientist, with a strong focus on various sensor data modeling and threat prediction

Other Requirements:

• Strong coding skills, including proficiency in Python and at least one machine learning framework (e.g. TensorFlow, PyTorch)

• Experience with data preprocessing, feature engineering, and model selection

• Experience with analyzing and interpreting large and complex datasets, including sensor data

• Ability to work independently and as part of a team

Responsibilities:

• Design and implement machine learning models and algorithms for analyzing various sensor data, including video, radar, and satellite data, and predicting potential threats

• Collaborate with cross-functional teams to understand business needs and develop machine learning solutions

• Analyze and interpret large and complex datasets, including sensor data

• Stay up to date with the latest developments in machine learning, sensor data modeling, and threat prediction

• Contribute to the development of machine learning infrastructure and tools

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• 2+ years of experience as a machine learning engineer, with a strong focus on video surveillance systems and threat prediction

Other Requirements:

• Strong coding skills, including proficiency in Python and at least one machine learning framework (e.g. TensorFlow, PyTorch)

• Experience with data preprocessing, feature engineering, and model selection

• Experience with analyzing and interpreting large and complex datasets, including video data

• Ability to work independently and as part of a team

Responsibilities:

• Design, implement, and maintain machine learning models and algorithms for analyzing video data and predicting potential threats in the context of video surveillance systems

• Collaborate with cross-functional teams to understand business needs and develop machine learning solutions

• Analyze and interpret large and complex datasets, including video data

• Stay up to date with the latest developments in machine learning, video surveillance systems, and threat prediction

• Contribute to the development of machine learning infrastructure and tools

Education Requirements:

• Ongoing/completed Ph.D. or Master’s degree in Computer Science or a related field

• Proficiency in Python and PyTorch

• Solid understanding of neural networks and machine learning fundamentals

• Experience with a vision-based deep learning project

Other Requirements:

• Strong enthusiasm for continuous learning

Responsibilities:

• Improve existing and implement new perception features

• Stay abreast of the latest research

• Communicate progress, challenges, and achievements to the team

• Contribute to the advancement of the field

Other Requirements:

• Understand and analyze disease studies, especially the ones associated with genomic disorders

• Understand and model biotech processes such as the ones used in the production of gene and cell therapies

• Explore, profile, and visualize bioinformatics datasets

• Understand and implement genomic data pipelines

• Define appropriate data models and identify relevant features for AI/ML model development

• Conduct qualitative analysis of model performance by defining the right data points for testing

• Develop narratives of data-driven analysis in Omics

• Effectively articulate and communicate domain knowledge to a cross-functional team. Participate in requirements gathering, design discussions, demos

• Learn and stay up-to-date on emerging technologies in the field. Research opportunities for the application of AI in the development of emerging therapeutic techniques

Other Requirements:

• Identify areas of application for AI in Chemistry & related Lifesciences

• Contribute to the development of AI-based solutions that serve as useful alternates or additions to existing Cheminformatics/computational chemistry methods & tools

• Leverage chemistry domain knowledge in formulating & interpreting the problem statement, understanding the nuances related to the problem, building a comprehensive methodology for solution development

• Enrich self as well as the team’s depth of understanding domain-related concepts through extensive reading, research, and communication

• Develop methods for data mining and performing analysis of large datasets (e.g., ZINC database)

• Apply the latest advances in AI to develop models (e.g., predicting reaction products, identifying novel reaction pathways, estimating reaction yields, etc)

Benefits:

• A chance to be a part of a rapidly growing startup with a transformative technology

• Competitive salary with performance-based bonuses

• Opportunities for personal and professional growth

• Flexible working conditions with the ability to work remotely

Education Requirements:

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Experience Requirements:

• Profound understanding of deep learning and natural language processing principles.

• Hands-on experience with large language models and their applications

• Strong programming skills in Python, including experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers)

Other Requirements:

• Excellent problem-solving abilities and a passion for innovation

• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders

Responsibilities:

• Fine-tune Open-source LLMs

• Build RAG Systems

• Develop Conversational Applications

• Research and Innovation

• Collaboration

Benefits:

• extra days off

• transparent career path with a regular raise schedule

• everyday remote workouts with a personal trainer

• English classes with a University of Gdansk lecturer

• yoga practice in the office

Education Requirements:

• MA in Linguistics, Applied Linguistics or Philology

• at least 1 year of hands-on professional experience working on NLP projects

Experience Requirements:

• at least 1 year of hands-on professional experience working on NLP projects

Other Requirements:

• Proficiency in English (additional language will be an asset)

• Good knowledge of grammar, semantics and linguistic analysis

• Practical knowledge of NLP tools and open-source corpora / databases (e.g. WordNet)

• Practical knowledge of regular expressions

• Basic programming skills in Python

• Willingness to develop / improve technical and programming skills

Responsibilities:

• taking part in R&D projects related to detecting and reducing cyberviolence

• developing symbolic rules realizing selected aspects of cyberviolence detection

• preparation of analyses and reports involving the use of large textual corpora

• design and supervision over textual data annotation tasks

Benefits:

• extra days off

• transparent career path with a regular raise schedule

• everyday remote workouts with a personal trainer

• English classes with a University of Gdańsk lecturer

• yoga practice in the office

Education Requirements:

• MSc or PhD in Computer Science, Mathematics, Physics or equivalent

Experience Requirements:

• 3+ years of hands-on experience in building ML-based solutions

Other Requirements:

• Experience working with and analyzing large data sets to solve problems

• Proficient knowledge of the English language and grammar

• Strong knowledge of machine learning methods (neural networks, deep learning architectures for text processing, clustering)

• Strong knowledge of scientific computing languages (Python) and regular expressions

• Experience in using machine learning libraries and frameworks (numpy, scikit, PyTorch, WandB, ONNX)

• Strong knowledge of statistics and experimental design

• Ability to write test-driven reusable and well-documented code

• Ability to work effectively in a multi-disciplinary team

• Experience with code versioning tools, such as Git

• Strong written and oral communication skills

Responsibilities:

• design, development, and evaluation of ML models for detecting cyberviolence and other related phenomena

• optimization of ML models for production usage

• improvement of current algorithms, workflows, and solutions

• cooperation with linguists, psychologists, sociologists, pedagogies, and cyberviolence experts

Education Requirements:

• MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field

Other Requirements:

• Skilled in audio and image processing and machine learning applications

• Working experience with Deep Learning using Tensor Flow, Cafe and other AI software

• Hands on Python and Matlab experience

• Technically oriented, proactive, and enthusiastic, with extreme attention to detail

Responsibilities:

• Develop solutions for real-world using AI/ML

• Minimize parameters and design the best network for audio and imaging applications

• Develop models for Audio and Imaging applications

Benefits:

• Competitive salary and equity

• Medical, dental, vision benefits

• Learning budget per year

• Unlimited PTO policy with minimum time off requirements

• Flexible working hours on many teams

Education Requirements:

• PhD

• Master's degree and 3+ years of experience

Experience Requirements:

• Significant hands-on experience in AI/ML, specifically with large datasets

• Strong coding skills with experience in cloud computing

• Good communication skills

Other Requirements:

• Domain expertise in climate is a plus

• Strong communication skills

Responsibilities:

• Building applications of GenAI approaches to solve forecasting and interpretation challenges in climate science

• Improving food and climate security outcomes

• Working cross-functionally with climate scientists, ML engineers, software engineers, and business teams

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 4+ years of practical experience or proven track record (projects, papers : ideally at ICML, ACL, EMNLP, TACL, CVPR, ICCV, or NIPS.) on Deep Learning

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Education Requirements:

• Extensive experience or academic records (Msc. or PhD in research area ) in deep learning techniques

Benefits:

• Competitive salary (USD)

• Stock Options

• Flexible remote-first work culture

• 3 weeks vacation

• Holiday season off between Christmas and New Year's Eve

Experience Requirements:

• 10+ years experience in data, 5+ years leading data teams

• Strong skills in data engineering, architecture, and analytics

• Experience in building teams from scratch is highly desirable

Other Requirements:

• Proficiency in SQL, Python, R, cloud platforms, DBT, and data visualization tools

• Experience working with senior leadership

• Strong communication and collaboration skills

• AI/ML experience a plus

Responsibilities:

• Define and implement data strategy

• Lead and mentor a data team

• Design, develop, and maintain data pipelines and infrastructure

• Collaborate with cross-functional teams

• Establish data governance practices

Responsibilities:

• Developing and maintaining health-tech app

• Guided meditation sessions

• Brain-training games

• Real-time bio-data feedback

Benefits:

• Competitive salary

• Stock options

• Health insurance

• GymPass

• Other perks

Benefits:

• Work on your own exciting project.

• On-the-fly training

• Interesting project in biomedical computer science.

• Support from our scientist and developer team.

• Insight into an innovative, young company.

Education Requirements:

• Student in biology, physics or computer science or related disciplines

Experience Requirements:

• Experience in biomedical image analysis and Python

Other Requirements:

• Reliable and accurate working attitude with an eye for the details.

• Excellent communication and presentation skills and the ability to express thoughts logically and succinctly.

• Fluent in English language, German would be a plus

Responsibilities:

• Work on a machine-learning pipeline for biomedical imaging data

• Explore and develop a workflow to classify images using Python

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Background in medical domain

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Background in robotics domain

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Experience Requirements:

• 1-3 years of industry experience

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Excellent programming skills, ML background and passion to excel