Benefits:

• Tax-free stipend

• Research training stipend

• Tuition fee waiver

Education Requirements:

• PhD in machine learning or related field

Experience Requirements:

• Good publication record (for Postdoc)

Responsibilities:

• Development of novel inference and computational methods

• Realization of fair and transparent machine learning and computer vision systems

Benefits:

• Tax-free stipend of £18,622 per year

• Research training stipend of £2,000 per year

• Tuition fee waiver

Education Requirements:

• Background in computer science, mathematics, statistics, econometrics, law, or information systems

Responsibilities:

• Research on Responsible AI, AI-Human Coexistence, and AI for Sustainability

Responsibilities:

• Research collaborations in algorithmic fairness and transparency

Benefits:

• Health insurance

• 401k

Experience Requirements:

• Expertise in time series forecasting research and deep learning

• Experience in transitioning machine learning models from research to production

• Experience in exploratory data analysis, feature engineering, and statistical modeling techniques applied to time series data

• Familiarity with classical statistical methods and measures used in defining volatility

Other Requirements:

• Strong communication skills

• Experience in healthcare or data engineering is preferred

• Ability to work in a fast-paced, collaborative environment

Responsibilities:

• Explore deep learning approaches

• Transition machine learning models to production environments

• Conduct in-depth exploratory data analysis

• Define and implement statistical measures of volatility

• Engineer relevant features from time series data

Education Requirements:

• A master’s or Ph.D. degree in Computer Science or a related field

Experience Requirements:

• Proven experience working as a Machine Learning Engineer, Research Scientist, or a similar role

Other Requirements:

• Experience with tools and frameworks for building machine learning applications

• Strong understanding of machine learning algorithms, statistical models, deep neural networks

• Strong problem solving skills

• Strong engineering mindset and skills

• Excellent communication skills

• Prior knowledge and/or experience in cybersecurity

• Prior knowledge and/or experience in security products and their data

• Prior knowledge and/or experience in open-source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework

Responsibilities:

• Work with the data integration team to review and design data schema and normalization for integration of third-party security data

• Work with the security team to transform detection use cases and requirements to data science or machine learning problems

• Research and design efficient machine learning algorithms based on security insights and data characteristics for security detection, correlation, and investigation

• Design and implement product features for security detection, correlation, and investigation

• Create necessary processes, tools, metrics to monitor and evaluate the efficacy of detections released to Stellar Cyber’s customers

Benefits:

• Pension contributions

• Health insurance

• Enhanced parental support

• Development opportunities

Benefits:

• Pension contributions

• Health insurance

• Enhanced parental support

• Development opportunities

Benefits:

• Strong technical culture of continuous innovation and improvement

• Flexible holidays & Insurance for you and your loved ones

Experience Requirements:

• 6+ years of strong experience in data mining, machine learning and statistical analysis

• Experience in productizing models to code in fast paced start-up environment

Other Requirements:

• Fluency in tools such as Python, Jupyter Lab / Notebook and libraries such as scikit-learn, pandas, plotly, numpy, keras, etc.

• Experience of interfacing with popular frontends and back-end built in Python

• Strong intuition for data and keen aptitude on large scale data analysis

• Strong communication and collaboration skills

• Exposure to clean energy solutions in solar, wind and energy storage would be preferred but is not essential. Exposure to time-series data and analysis would be preferred.

• Passionate about a clean energy future

• Innovative – you challenge the status quo and find creative solution to problems

• Resilient – you enjoy meeting challenges head on and persist till we find a scalable solution

• Data driven – you understand the importance of data in decision making

• Methodical and team player

Responsibilities:

• Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data.

• Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches.

• Productize proven or working models into production quality code

• Collaborate with product management, marketing and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions

• Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas to key decision makers

Benefits:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment

Benefits:

• Competitive compensation

• Flexible work arrangements

• Growth opportunities

• Collaborative team

Responsibilities:

• Conducting research and providing support to writers

Benefits:

• Base salary + equity + performance bonus

• Industry-leading healthcare covering medical, dental, vision, and life paid by the company

• Health Savings and Flexible Spending accounts

• 401K

• Unlimited PTO with an employee-focused work approach

Education Requirements:

• Academic background in statistics, comp sci, math, engineering

Experience Requirements:

• 6+ years professional Data Science experience

Other Requirements:

• Consumer product and subscription modeling expertise

• Portfolio or sharable work samples

• Deep ML/AI experience

Responsibilities:

• Collect, analyze, and present data

• Design accurate and scalable prediction algorithms

• Collaborate with the engineering team

• Make clear recommendations to improve

• Help design data team hiring roadmaps

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 and equity package

• Comprehensive health, dental, and vision insurance

• Unlimited vacation and paid time off policies

• Flexible and dynamic work environment with opportunities for occasional remote work

• Opportunity to work alongside a talented team of engineers and innovators

Education Requirements:

• PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent experience

Experience Requirements:

• Minimum of 7 years of experience in AI research with a strong focus on deep learning, generative models, and large language models

Responsibilities:

• Lead the development, implementation, and continuous improvement of cutting-edge AI and machine learning models

• Apply the latest research and industry framework advances

• Act as a productive individual contributor

• Enhance fine tuning models using private customer data turnkey

• Research, experiment, and define the approach for extending the product capabilities using agents

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

Education Requirements:

• Proven experience in data science or analytical roles

• Project leadership experience

• Background in payment, retail banking, or retail merchant industries

Experience Requirements:

• Proven experience in data science or analytical roles

• Project leadership experience

• Background in payment, retail banking, or retail merchant industries

Other Requirements:

• Strong analytical, consultative, and problem-solving skills

• Effective communication abilities

• Writing clean code in SQL and either Python or SAS

• Familiarity with machine learning and agile methodologies

Responsibilities:

• Analyzing transactional data trends

• Guiding improvements and supporting Visa's solutions

• Promoting data innovations

• Optimizing strategies to enhance client profitability

• Collaborating with Visa Data Science Lab

Education Requirements:

• Bachelor's degree or higher in a related field

Experience Requirements:

• Minimum of four years of relevant experience

• Strong problem-solving and programming abilities

• Understanding of machine learning algorithms' mathematical foundations

• Experience in deploying machine learning projects in production systems

Other Requirements:

• Expertise in natural language processing and time series analysis

• Proficiency in various advanced machine learning and data processing techniques

Responsibilities:

• Developing a sophisticated conversational service bot

• Working on cutting-edge production AI/ML solutions

• Analyzing streaming data for anomalous behavior

• Transforming IT services into interactive conversational experiences

Education Requirements:

• University degree or equivalent professional experience

• Relevant internship experience (preferred)

Experience Requirements:

• Proficiency in business English (verbal and written)

• Advanced communication and data visualization skills

• Strong organizational and interpersonal skills

• Understanding of the commercial industry

Responsibilities:

• Delivering market measurement and insights to clients

• Supporting the Client Success team

• Building strong client relationships

• Providing excellent customer service

• Uncovering valuable insights for client decision-making processes

Education Requirements:

• BAC+5 degree (IT or data-related fields)

Experience Requirements:

• Significant initial experience in managing diverse data sources

• Proficiency in coding and data visualization tools

• Familiarity in cloud platforms

Other Requirements:

• Strong command of Excel

• Working level of English

• Familiarity with APIs and low-code tools

Responsibilities:

• Ensuring data quality from various sources

• Developing automated reporting systems

• Building models to support decision-making processes

• Collaborating with teams across Europe

• Standardizing methodologies