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

Benefits:

• Remote-first ideology

• Flexible working hours

• Regular performance and compensation reviews

• Recurrent 1-1s and measurable OKRs

• In-depth onboarding with a clear success track Competera covers 70% of your training/course fee 20 vacation days, 15 days off, and up to one week of paid Christmas holidays 20 business days of sick leave Partial medical insurance coverage We reimburse the cost of coworking

Experience Requirements:

• Strong knowledge and extensive hands-on experience with at least one of the following: - Bayesian Models and Probabilistic Programming (e.g., PyMC, Stan, TensorFlow Probability). - Reinforcement Learning (RL) Models. - Causal Models and causal inference frameworks.

• Minimum 5 years of experience in data science or related field

Other Requirements:

• Proficiency in SQL

• Strong Python skills

• Proficiency in scientific Python toolkit including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch

• Familiarity with Time Series Forecasting approaches

• Experience in statistical testing methodologies, including A/B testing

• Experience working with tabular and mixed (multimodal) data (e.g., tabular data combined with text, audio, or images) for at least 3 years

• English - upper-intermediate +

Responsibilities:

• Lead the integration and application of causal inference frameworks to derive actionable insights and drive data-driven decision-making

• Design, develop, and deploy models utilizing Bayesian probabilistic programming, Reinforcement Learning (RL), or Causal Models

• Analyze retail data to derive insights and inform pricing strategies

• Develop prototypes of algorithms for pricing and demand prediction

• Test and monitor algorithm performance, iterating as necessary

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

• 25 days paid annual vacation

• Flexible working hours

• Opportunity to work from home

• Convenient office location in Sofia

Education Requirements:

• A degree in a relevant area (Computer Science, Statistics, Applied Mathematics, or related field)

Experience Requirements:

• At least 5 years of experience in software engineering and data science fields

• Strong knowledge of software engineering of scalable production systems

• Excellence with Python

• Strong knowledge of design patterns, OOP, multithreading, and databases

• Good experience in building processes and automated deployments

Other Requirements:

• Excellent problem-solving and analytical skills

• Strong mentorship skills

• Excellent verbal and written communication skills

• Experience in big data (a plus)

• Familiarity with transportation and logistics (a plus)

Responsibilities:

• Design, develop, and implement a framework for data science models

• Collaborate with product and engineering teams

• Conduct research on data science and machine learning

• Develop proof-of-concept and prototypes

• Design and implement experiments to validate models

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

Education Requirements:

• Master's degree in Computer Science or related field (or equivalent experience)

Experience Requirements:

• Experience in NLP and ML, publications in top-tier conferences (ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR)

• Understanding of AI model training/inference

• Experience with Python

Responsibilities:

• Development of Information Retrieval and Large Language Models

• Model training, inference, and evaluation

• Research projects and publication in top-tier conferences

Experience Requirements:

• Experience with various data formats (JSON, XML, HTML)

• Understanding of AI model training and evaluation

• Experience in documenting datasets and improvement directions

Responsibilities:

• Creating and managing datasets for Information Retrieval and Large Language Models

• Improving model performance based on user feedback

• Evaluating model performance from various perspectives

Education Requirements:

• Master's degree in Computer Science or related field (or equivalent experience)

Experience Requirements:

• Understanding of AI model training/inference

• Ability to read, understand, and implement research papers from top-tier NLP/ML conferences

Responsibilities:

• Assisting full-time Machine Learning Research Engineers in improving model performance

• Assisting in AI model and pipeline development

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

• Flexible PTO

• Premium Health Benefits

• 401(k) Plan

• Company Equity

Experience Requirements:

• 8+ years of Python programming experience focused on AI & ML solutions including bringing these solutions to production

• 5+ years of experience in NLP

• 3+ years in a Sr Manager or Director role

Other Requirements:

• Track record of successfully developing and deploying production-scale AI systems

• Experience with training and deployment frameworks for LLMs in production environments

• Strong commitment to AI safety and ethical principles, particularly in healthcare applications

• Strategic mindset with the ability to translate vision into actionable plans in collaboration with Senior Leadership team members

• Comfortable with ambiguity and rapid change, capable of adding structure as needed

• Advanced Degree in Computer Science, Engineering, or related field

Responsibilities:

• Define, shape, and refine our overall AI roadmap in alignment with company objectives and market demands

• Drive the development of state-of-the-art conversational AI systems that serve both patients and healthcare providers, focusing on creating intuitive, empathetic, and clinically relevant interactions

• Enhance our LLM Ops and evaluation systems, which assess the performance and safety of our LLMs for various healthcare tasks, and prioritize patient safety

• Leverage the latest AI research and technology to enhance our LLMs via RAG and fine-tuning, including RLHF (incorporating feedback from both users and clinicians)

• Optimize computational efficiency and cost-effectiveness of LLM deployments