Benefits:

• open, supportive, transparent, and continually learning culture to all its employees.

• working in Platform94

Education Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Intelligence, or a related field.

Experience Requirements:

• 2 to 5 years of experience in data science, business intelligence, or similar roles.

• Proven experience in creating dashboards and data visualizations.

Other Requirements:

• Valid authorisation to work in Ireland.

Responsibilities:

• Apply statistical techniques and build predictive models to support business decisions.

• Create compelling visualisations that translate data into actionable insights.

• Develop algorithms for business to help in strategic decision-making.

• Utilise modern tools and technologies to manage, analyse, and visualise data.

Education Requirements:

• PhD preferred

Experience Requirements:

• 3+ years of research experience in NLP, Gen AI, and related areas

• Strong background in CS, mathematics, ML, and research

Other Requirements:

• Ready to work full-time from our Pune office (no remote/hybrid)

Responsibilities:

• Making sense of unstructured enterprise data

• Pushing AI recommendation accuracy closer to 100%

• Building governance, observability & explainability frameworks

• Designing complex multi-agent workflows

• Domain-specific fine-tuning

Benefits:

• Amazing Benefits

• Social Impact opportunities

• Talent development opportunities

• Community fostering at Okta

Education Requirements:

• BA or higher degree preferred

Experience Requirements:

• 3+ years of experience in data management, data engineering, data analytics, or product management

• 3+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI)

• 2+ years of SQL experience

• Strong understanding of data lifecycle management

• Ability to build relationships with partners and stakeholders, distill business requirements into technical documentation, and prioritize work

Other Requirements:

• Experience with third-party web analytics tools (Heap, Google Analytics, Adobe Analytics)

• Experience with cloud-based data warehouse technologies (Snowflake, BigQuery, Databricks)

• Experience with data engineering tools (dbt, Fivetran, Python, Kafka, Parquet, Hightouch)

• Experience with paywall, subscription, or authentication based products

Responsibilities:

• Partner with peers in product, engineering and program management to develop scalable measurement strategies

• Drive scalable, semantic data models

• Educate and enlighten data stakeholders with newly available objects and models

• Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Incidents, Developers, Quality, etc.)

• Deliver executive dashboards and product insights based on foundational productionalized data models

Benefits:

• Hands-on Experience – Work on real AI projects and develop practical skills.

• Mentorship & Networking – Learn from experts and build valuable connections.

• Exposure to Cutting-Edge Technology – Work with the latest AI tools and innovations.

• Flexible working environment

• Volunteer time off

Education Requirements:

• Have completed at least 75% of a master's degree in computer science or an equivalent numerate discipline.

• Background in computer science, IT, data science, maths, linear algebra, statistics.

Experience Requirements:

• Data analysis and practical hands-on experience with datasets, ML models and evaluations.

Other Requirements:

• Familiarity with Machine Learning, Deep Learning (special focus on Transformers) and Natural Language Processing.

• Languages and technologies: Python, PyTorch, Huggingface, GiT, pandas/polars, sklearn.

• Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions.

• A proficient level of interpersonal and communication skills

• Fluent level of Spanish and English (level B2)

Responsibilities:

• Investigate, develop, and apply machine learning innovations to a well-defined use case.

• Perform feasibility studies and analyze data to determine the most appropriate solution.

• Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.

• Be able to communicate results to tech and non-tech audiences.

• Experience working with large real-world datasets and scalable ML solutions.

Benefits:

• Flexible working environment

• Volunteer time off

• LinkedIn Learning

• Employee-Assistance-Program (EAP)

• Internal trainings will be provided together with detailed onboarding agenda.

Education Requirements:

• Master degree

Other Requirements:

• Excellent analytical and numerical reasoning skills

• Excellent interpersonal and teamwork skills

• Interest in the FMCG industry

• Proficient in Microsoft Office Suite, especially Word, Excel, and Powerpoint (SQL would be a plus)

• Fluency in Italian & English

Responsibilities:

• The intern will execute projects with limited supervision by compiling, analyzing, and interpreting sales data and constructing presentations.

• The intern will acquire skills related to the FMCG and distribution market, familiarize themselves with the tools and metrics primarily used by Retailers to address competitors and market trends.

Education Requirements:

• Master’s degree, or foreign degree equivalent, in Business Analytics, Statistics, Mathematics, Computer Engineering, or a related field

Experience Requirements:

• 4 years of experience in Machine Learning, Data Analytics, and Visualization.

• 4 years of experience creating Machine Learning pipelines and optimization

• 4 years of experience using open-source programming languages for large scale data analytics, including data handling and machine learning packages.

• 4 years of experience in creating machine learning models and strategies

• 1 year of experience in AI research and deep learning

Other Requirements:

• Employer will only employ those who are legally authorized to work in the United States for this opening.

• Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable).

Responsibilities:

• Build advanced machine learning models, including deep learning models, gradient boosting machines, time series models, statistical models and clustering analysis based on project requirements.

• Check model stability, model optimization and model performance measurements and perform exploratory data analysis, feature selection, and data visualization.

• Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions.

• Develop frameworks for tracking and measuring results produced by analytics models.

• Research new machine learning techniques and advanced analytics solutions and implement them on Ether, our Machine Learning and Artificial Intelligence based platform.

Benefits:

• International team

• Fully remote company

• Fun team building events

• Flexible working time

• Home office budget up to €1500

Experience Requirements:

• 5+ years of experience as a Data Scientist or Machine Learning Engineer

• Proficiency in Python, including experience with libraries such as Scikit-Learn, NumPy, Pandas, and PyTorch/TensorFlow

• Proficiency in SQL and experience working with data warehouses (e.g., Snowflake, GCP)

• Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques

• Experience with cloud platforms for model training and deployment

Other Requirements:

• Analytical mindset

• Strive to understand business challenges and leverage ML to solve them

• Stay calm in the face of challenges and have an infectious, can-do attitude to solving problems

• Aptitude for digesting complex ML concepts and effectively communicating them to both technical and non-technical audiences

• Team player with high integrity - you can remain flexible as we grow

Responsibilities:

• Define and evolve our infrastructure to allow for better ML capabilities

• Identify, source, and refine datasets to allow tuning models and create ML opportunities

• Pre-process data by using techniques such as data cleaning, feature engineering, and transformation

• Train, evaluate, and deploy machine learning models up to production

• Monitor, debug, and continuously improve deployed models

Benefits:

• Competitive compensation and comprehensive benefits package

• Opportunity to contribute to cutting-edge computer vision projects

• Engage in a collaborative and innovative work environment

• Access to professional growth and development opportunities

• Potential for flexible work hours (if applicable)

Experience Requirements:

• Prior experience with at least 3 years in data annotation or related fields is a desirable asset

• Knowledge on how to use Computer Vision Annotation Tool (CVAT) for solving different data annotation challenges

Other Requirements:

• Familiarity with computer vision concepts and terminology

• Exceptional attention to detail, with an unwavering commitment to maintaining the highest levels of accuracy

• Capability to excel both as an independent contributor and as a collaborative team member

• Strong interpersonal and communication skills

• Adaptability and resilience in dynamic, fast-paced environments

Responsibilities:

• Annotate and label various data types, including images, videos, point clouds

• Ensure the quality and accuracy of annotations, preventing errors that could compromise the effectiveness of machine learning algorithms

• Uphold consistency in annotations, make sure all the annotations follow the same rules and guidelines

• Perform data pre-processing (resizing images, standardizing text data, converting data into suitable formats)

• Collaborate with data scientists, machine learning engineers, and project managers

Education Requirements:

• MSc in a quantitative field (Computer Science. Statistics, Software\Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

Other Requirements:

• Great communication and interpersonal skills

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects. (from business understanding through data exploration, research, algorithm development, evaluation, optimization & A/B testing to model deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Education Requirements:

• At least a B.Sc. in Computer Science, Data Science, Engineering, or a related field

Experience Requirements:

• 3+ years of hands-on experience in data science or applied ML

• Strong Python skills and experience with ML/NLP libraries (e.g., pandas, scikit-learn, Hugging Face, PyTorch)

• Solid understanding of NLP tasks, especially document-level classification and reasoning

• Experience working with production-level data and noisy datasets

Other Requirements:

• Comfortable working in a fast-paced, early-stage startup environment

• Bonus: experience with sensitive data detection, document parsing, or vector databases

Responsibilities:

• Develop and refine various types of models for extracting and interpreting information.

• Work with a range of data formats to uncover meaningful insights.

• Utilize modern machine learning techniques and representations for data understanding.

• Continuously test and enhance approaches to improve practical outcomes.

• Partner with different teams to integrate intelligent systems into workflows.

Benefits:

• Remote work with an open-source culture

• 14 days leave (and unlimited sick days)

• GPUs, AI credits, fast progression

Experience Requirements:

• Mid-level

Other Requirements:

• Deeply curious & energetic researchers capable of driving forward transformers based research across modalities and architectures

Responsibilities:

• Stay up-to-date with state-of-the-art AI research across NLP, computer vision, speech, and multi-modal learning

• Continuously read papers and explore new architectures

• Craft data, train or fine-tune and extend LM capabilities combining text, images, audio, etc.

• Implement and experiment with these models in a practical setting. Design training pipelines, perform rigorous evaluations, and iterate quickly to improve performance.

• Work closely with our engineering team to bring research breakthroughs into our products.

Benefits:

• Company equity

• Learning & development budget

• Flexible working options

• Generous pension matching

Experience Requirements:

• Experienced in Data Science and Data Engineering roles

• Proficient with SQL and Python

• Experienced with using and managing data created by Generative AI

• Comfortable working with cloud platforms like AWS/GCP/Azure

• Experienced at building ML models

Other Requirements:

• Mission-driven, caring deeply about helping people use AI safely

• Kind and curious, always looking for ways to improve our tech and product for customers

Responsibilities:

• Analyze the accuracy of our techniques for classifying results and identifying vulnerabilities

• Evaluate the relative merits of alternative approaches identified by the team

• Identify and develop further improved methods for classifying results and identifying vulnerabilities

• Identify new insights and visualisations from our data that would benefit our customers

• Design and implement improvements to data pipelines and labelling systems that facilitate ongoing quality

Benefits:

• Stipend to support research training of £2,000 for 4 years

• Tuition fees waived up to the overseas rate for 4 years

Education Requirements:

• Academic or professional background in Computer Science, Mathematics, Statistics, Econometrics, or related disciplines

• Academic or professional background in Law, Information Systems, or Computer Science

• Academic or professional background in Computer Science, Mathematics, Statistics, Econometrics, Industrial Engineering, or any related disciplines

Responsibilities:

• Research on AI for Fairness, Transparency, and Inclusive Growth in Financial Services

• Research on ethical, legal, and social implications of integrating AI

• Developing policies and strategies for human-AI coexistence

• Research on AI to enhance sustainability and efficiency in supply chain networks

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

Experience Requirements:

• 2 to 5 years of experience in Computer Vision for Autonomous Systems

• 2 to 5 years of experience in Dependable AR-VR for X

• 2 to 5 years of experience in CV and VR for Industry 4.0

• 2 to 5 years of experience in Imaging for Document Analysis

• 2 to 5 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

Experience Requirements:

• Less than 2 years of experience in Computer Vision for Autonomous Systems

• Less than 2 years of experience in Dependable AR-VR for X

• Less than 2 years of experience in CV and VR for Industry 4.0

• Less than 2 years of experience in Imaging for Document Analysis

• Less than 2 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• Ph.D. with first division in the preceding degree or equivalent in the relevant discipline, with a good academic record throughout

Experience Requirements:

• More than 5 years of experience in Computer Vision for Autonomous Systems

• More than 5 years of experience in Dependable AR-VR for X

• More than 5 years of experience in CV and VR for Industry 4.0

• More than 5 years of experience in Imaging for Document Analysis

• More than 5 years of experience in Computer Vision for Better Living: Healthcare and Biosphere

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• M.Tech/B.Tech with first division in the relevant discipline, with a good academic record throughout

Experience Requirements:

• Relevant industry/research experience in core scientific horizontals (Seeing and Sensing, Dependability, Real-time Computer Vision Systems, Data Collection, Curation and Annotation)

• Relevant industry/research experience in application verticals (Computer Vision for Autonomous Systems, Dependable AR-VR for X, CV and VR for Industry 4.0, Imaging for Document Analysis, Computer Vision for Better Living: Healthcare and Biosphere)

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Education Requirements:

• M.Tech/B.Tech/MBA/M.Sc with first division in the relevant discipline, with a good academic record throughout

Experience Requirements:

• Relevant industry/research experience in core scientific horizontals (Seeing and Sensing, Dependability, Real-time Computer Vision Systems, Data Collection, Curation and Annotation)

• Relevant industry/research experience in application verticals (Computer Vision for Autonomous Systems, Dependable AR-VR for X, CV and VR for Industry 4.0, Imaging for Document Analysis, Computer Vision for Better Living: Healthcare and Biosphere)

Responsibilities:

• Conduct research in Seeing and Sensing technologies

• Conduct research in Dependability aspects of systems

• Develop Real-time Computer Vision Systems

• Work on Data Collection, Curation and Annotation

• Develop technologies for Computer Vision, AR/VR, Industry 4.0, Document Analysis, Healthcare, and Biosphere applications

Experience Requirements:

• 2-4 years

Benefits:

• Visa sponsorship

Education Requirements:

• Currently enrolled in a PhD program in Computer Science or a related technical field

Experience Requirements:

• Experience in one or more areas of Computer Science, such as Large Language Model, Natural Language Processing, Natural Language Understanding, Neural Networks, Machine Learning, Deep Learning, Graph Representation, Data Management, Data Integration, Human-Computer Interaction, AI with Humans In The Loop or similar

• Proficiency in one or more programming languages including C/C++, Java, Python or Javascript to rapidly turn research ideas into software prototypes

• Contribution to research communities and/or efforts, including publishing papers (i.e. being listed as author) in major conferences or journals

Other Requirements:

• Available to work full time for 12 weeks during the summer

• Ability to design and execute a research agenda

• Returning to a degree program after completion of the internship

Responsibilities:

• focus on high-impact projects while closely working with our Research Scientists as their mentors

• participate in cutting-edge research for real-world and large-scale problems, aiming to publish papers at top-tier conferences

• creating techniques that integrate domain-specific external data and human-centered approaches, prioritizing trustworthiness, explainability, and robustness

• explore how these data-driven and knowledge-intensive methods can transform and enhance tasks in natural language processing, database management, and artificial intelligence, especially within the HR domain