Benefits:

• Medical, dental & vision

• 401K options

• 2 company-wide weeks off each year

• Unlimited PTO

• Remote work

Benefits:

• Medical, dental & vision

• 401K options

• 2 company-wide weeks off each year

• Unlimited PTO

• Remote work

Benefits:

• Medical, dental & vision

• 401K options

• 2 company-wide weeks off each year

• Unlimited PTO

• Remote work

Benefits:

• Family Health Insurance

• Accident & Term Life Insurance

Education Requirements:

• Post Graduate / Graduate

Experience Requirements:

• 1-3 years, preferably worked on SME published reports

Responsibilities:

• Conduct qualitative and quantitative research for SME sector and publish reports and articles independently to contribute to thought leadership

• Prepare monthly & quarterly research reports as per requirement

• Deliver client and investor presentations

• Prepare trend analysis in the data sheet

Education Requirements:

• Doctor

Education Requirements:

• Doctor

Education Requirements:

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

Experience Requirements:

• 5+ years of hands-on experience in machine learning, with a focus on anomaly detection.

Responsibilities:

• Develop and implement machine learning models focused on anomaly detection in industrial IoT data.

• Design algorithms for predictive maintenance and condition monitoring.

• Work closely with data engineers to create robust data pipelines for real-time analytics.

• Analyze large datasets, extract insights, and provide actionable recommendations.

• Optimize models to improve detection accuracy and reduce false positives.

Education Requirements:

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience.

Responsibilities:

• Lead the design, development, and implementation of machine learning models, AI algorithms, and Large Language Models (LLMs) for various business applications.

• Collaborate with cross-functional teams (product, engineering, business) to understand the problem domain and define model objectives.

• Analyze large datasets to identify patterns, trends, and insights, and use these findings to develop predictive models and actionable business solutions.

• Build, test, and refine machine learning models using state-of-the-art techniques, including supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing (NLP).

• Develop and optimize LLMs (e.g., GPT, BERT, etc.) to improve language understanding, text generation, and other NLP applications.

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Education Requirements:

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field.

Experience Requirements:

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment.

Responsibilities:

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy.

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

• Hands-on experience in delivering production-ready code (Python, Java, etc.)

• Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)

• AI/ML models, Natural language process (NLP) and data mining experience

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Process, cleanse, and verify the integrity of data used for downstream analytics products

• Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

• Participate in strategic planning and be responsible for the team roadmap and its execution.

Benefits:

• Competitive salary

• Interesting project

• Healthy team relationships

Experience Requirements:

• experience with OCT interpretation

Responsibilities:

• share their knowledge with eye care professionals community

• review OCT scans helping eye care specialists with more accurate diagnostics

Responsibilities:

• Basic and applied research of AI algorithms (deep learning, etc.)

• Analysis, proposal, and verification using AI algorithms to solve business issues

• Engineering such as system development using AI algorithms

Education Requirements:

• Computer science, mathematics, statistics or a related degree;

• Master’s degree in machine learning, neural networks, deep learning or related fields;

Experience Requirements:

• Experience in image processing with OpenCV and Computer Vision

• Analytically way of meaning and understanding of mathematical models

• Working with mathematical packages as R package, Matlab or Octave

• CNN (Convolutional Neural Network), training Histogram Oriented Gradients object detectors

• Convolutional Neural Network object detectors, unsupervised and semi-supervised learning, sequence-to-sequence models based on recursive / recurrent neural networks.

Responsibilities:

• Specjalista ds. Analizy Danych odpowiadają za analizę, interpretację i wizualizację danych.

• Jego głównym zadaniem jest wydobywanie wartościowych informacji z danych, które mogą przyczynić się do poprawy jakości algorytmów ML oraz do osiągnięcia celów projektu, oraz implementacja zaawansowanych modeli statystycznych.

Education Requirements:

• Tertiary qualification in Geology or Earth Science.

Experience Requirements:

• Extensive experience experience in mineral resource evaluation (>20years), working in both open pit and underground mining environments.

Responsibilities:

• Lead an expanding resource geology team, providing expertise on resource evaluation methodologies, and ensure the quality control of all resource models and geometallurgical models.

• Audit the clients mineral resource (Kriging) models and Stratum’s generated models.

• Assist in the audit and analysis of complex mine site databases composed of varied geological and geochemical data to evaluate critical issues.

Experience Requirements:

• least 5-7 years of experience as a Senior Data Scientist

Experience Requirements:

• 3+ years

Benefits:

• Flexible working hours

• Pet-friendly office

• Game room

• Stock purchase plan / Stock options

• Team building

Education Requirements:

• Ph.D. in Machine Learning / Artificial Intelligence, preferably on Generative AI / LLM topics

Experience Requirements:

• Experience in Machine Learning / Artificial Intelligence research, with a track record of publishing research papers and turning them into useful tools.

• Expert proficiency in the Python AI stack, especially with PyTorch, Hugging Face and LLM frameworks.

• Strong skills in software engineering (use of Git, production-ready code.)

• Strong written & oral communication skills in English.

• Bonus 1: open-source contributions are highly valued. Bonus 2: knowledge of cybersecurity fundamentals and techniques is also a plus.

Other Requirements:

• We are hiring people located in France or willing to relocate.

Responsibilities:

• Develop production-ready tools for LLM evaluation & mitigation that can be integrated in our software platform

• Conduct our scientific watch, reading academic papers in the fields of AI Testing / Benchmarking / Security.

• Communicate findings with other AI teams at customers & partners, such as Mistral AI, AWS, Google, Microsoft, NVIDIA, in the form of presentations and papers.

• Push the frontier of AI Safety & Security research with a focus on tools for real-life applications.

Benefits:

• Unlimited vacation

• Flexible working hours

• Remote work possible

Responsibilities:

• Connect our technology with customer needs

• Derive insights and strategic suggestions based on customer data

• Design and build data-based consulting services

• Conduct modeling using our AutoML solution DAVinCI LABS

• Provide training on how to use the solution and lectures on machine learning theory

Benefits:

• Participation in the company’s employee share options plan

• 25 days holiday, plus bank holidays

• Flexible working from home policy plus a one-off WFH allowance when you join

• Work from outside of the UK for up to 6 months each year

• Enhanced parental leave 🚲 Bike2Work scheme 📚 Annual learning and development allowance [👨‍👩‍👧](https://emojipedia.org/family-man-woman-girl/) Company-funded fertility and family-forming programmes [🌸](https://emojipedia.org/cherry-blossom/) Menopause care programme with Maven 🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs

Education Requirements:

• A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience

Experience Requirements:

• 3+ years of experience working with deep learning and statistical models

Responsibilities:

• Train models and conduct experiments to assess model performance in live deployments

• Work on experimental model architectures, exploring multimodal, efficient long-context etc.

• Develop post-training strategies to achieve state of the art performance on domain-specific tasks

• Generate, collect, and annotate contact center data from sources such as real customer calls, chats, online open datasets, and synthetic data

• Develop robust evaluation benchmarks to track improvements in production models Collaborate with the legal and compliance team to address any compliance or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work