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

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:

• 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:

• 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:

• 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

Benefits:

• Hands-on experience in applied AI research

• Mentorship from top experts in AI and generative modeling

• Real-world impact through contributions to widely-used products

• A fast-paced, collaborative environment at the forefront of innovation

• Potential pathway to a full-time role based on performance

Education Requirements:

• Enrolled in or recently graduated from a Master’s or Ph.D. program in Computer Science, AI, or a related field

Experience Requirements:

• Hands-on experience with deep learning and generative models (GANs, diffusion, transformers, etc.) applied to video or image generation

Other Requirements:

• Demonstrated research excellence, including top-tier publications (e.g., CVPR, ICLR, NeurIPS, ICML)

Responsibilities:

• Research and prototype state-of-the-art generative models for video and avatar generation

• Design and implement algorithms for real-time video generation and multimodal interactions

• Collaborate with cross-functional teams to integrate research into HeyGen’s core platform

• Stay up-to-date with the latest advancements in machine learning, computer vision, and generative AI

Education Requirements:

• Bachelor’s degree is required

• MBA preferred

Experience Requirements:

• 15+ years of experience in cybersecurity, information security, or risk management, with at least 5+ years in a leadership role within information security services

• 3+ years managing a business, preferably with P&L responsibility, and proven track record for overseeing financial performance, identifying areas for improvement, and driving profitability and growth

• Proven ability to build and scale cybersecurity service offerings in a consulting, technology services, or enterprise environment

• Deep expertise in security frameworks (e.g., NIST, ISO 27001, CIS, SOC 2, GDPR, CMMC, HIPAA, HITRUST)

• Strong understanding of cloud security, network security, application security, and threat intelligence

Other Requirements:

• Knowledge of emerging trends in AI security, zero-trust architectures, and supply chain security

• Experience with enterprise network monitoring, network security controls, and secure network design

• Understanding of network segmentation, microsegmentation, and network access control (NAC)

• Expertise in security risk assessments, penetration testing, incident response, and compliance consulting

• Ability to develop strong relationships with enterprise clients and executives to drive cybersecurity consulting engagements

• Proven ability to lead collaboratively and operate in a high-growth environment

• Skilled in articulating a strategy with a strong, agile execution plan

• Comfortable with rolling up your sleeves to do the work, demonstrating traction, and building a team over time

• Demonstrated success in making data-driven decisions and defining key metrics to measure progress

• Ability to walk in the shoes of your audience in order to understand their challenges, develop and execute an approach to solve them, and articulate the solution in a clear and compelling way

• Strong ability to translate complex security concepts into actionable business strategies for non-technical stakeholders

• Refined relationship development & leadership skills with a track record of success in building credibility across all levels of an organization

• Strong problem-solving skills and a data-driven decision-making approach

• Confidence in your analytical abilities, with proven success in delivering results in ambiguous and sophisticated project efforts

• Skilled in the art of communicating (written and verbal) with both technical and non-technical audiences

• Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts

Responsibilities:

• Own this practice and be responsible for all aspects of its growth. Define ambitious goals, chart a course, and be empowered to work across organizational lines to build a world-class practice

• Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales

• Understand current/future demand and enable, educate, and directly support the salesforce to best position this practice

• Lead the business from a sales, revenue, and profitability perspective by understanding the key P&L levers

• Drive the success of consulting projects by owning both sales and delivery end-to-end

Education Requirements:

• Bachelor’s degree is required

• MBA preferred

Experience Requirements:

• 15+ years of experience in your practice, with preferably 5+ years in a leadership role within data and AI-focused services

• 3+ years managing a business, preferably with P&L responsibility

• Strong knowledge of data management, AI governance, machine learning, and AI-driven analytics techniques and technologies, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation)

• In-depth knowledge of statistical methodologies, deep learning algorithms, and AI applications in real-world business contexts

• Proficiency in using AI and data science tools (e.g. Python, TensorFlow, PyTorch, SQL, Tableau, etc.)

Other Requirements:

• Experience in marketing, finance, healthcare, or e-commerce industries

• Experience packaging, pricing, and delivering compelling solutions

• Passion for AI innovation and ability to drive thought leadership in the field

• Proven ability to lead collaboratively and operate in a high-growth environment

• Skilled in articulating a strategy with a strong, agile execution plan

• Comfortable with rolling up your sleeves to do the work, demonstrate traction, and build a team over time

• Demonstrated success in making data-driven decisions and defining key metrics to measure progress

• Ability to walk in the shoes of your audience in order to understand their challenges, develop/execute an approach to solve them, and articulate the solution in a clear and compelling way

• Refined relationship development & leadership skills with a track record of success in building credibility across all levels of an organization

• Confidence in your analytical abilities, with proven success in delivering results in ambiguous and sophisticated project efforts

• Skilled in the art of communicating (written and verbal) with both technical and non-technical audiences

• Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts

Responsibilities:

• Set the vision, own the P&L, develop the Go-to-Market strategy, and drive the growth of your practice

• Develop attractive, scalable offerings that resonate with specific customer segments

• Take services and offerings to market; first, by leading from the front to establish product-market fit with our clients, and then by working with our Practices Operations team to scale adoption and the commercial impact of offerings

• Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales

• Understand current and future demand and enable, educate, and directly support the sales force to position this practice best

Education Requirements:

• Bachelor’s degree is required

• MBA preferred

Experience Requirements:

• 15+ years of experience in cybersecurity, information security, or risk management, with at least 5+ years in a leadership role within information security services

• 3+ years managing a business, preferably with P&L responsibility, and proven track record for overseeing financial performance, identifying areas for improvement, and driving profitability and growth

• Proven ability to build and scale cybersecurity service offerings in a consulting, technology services, or enterprise environment

• Deep expertise in security frameworks (e.g., NIST, ISO 27001, CIS, SOC 2, GDPR, CMMC, HIPAA, HITRUST)

• Strong understanding of cloud security, network security, application security, and threat intelligence

Other Requirements:

• Knowledge of emerging trends in AI security, zero-trust architectures, and supply chain security

• Experience with enterprise network monitoring, network security controls, and secure network design

• Understanding of network segmentation, microsegmentation, and network access control (NAC)

• Expertise in security risk assessments, penetration testing, incident response, and compliance consulting

• Ability to develop strong relationships with enterprise clients and executives to drive cybersecurity consulting engagements

• Proven ability to lead collaboratively and operate in a high-growth environment

• Skilled in articulating a strategy with a strong, agile execution plan

• Comfortable with rolling up your sleeves to do the work, demonstrating traction, and building a team over time

• Demonstrated success in making data-driven decisions and defining key metrics to measure progress

• Ability to walk in the shoes of your audience in order to understand their challenges, develop and execute an approach to solve them, and articulate the solution in a clear and compelling way

• Strong ability to translate complex security concepts into actionable business strategies for non-technical stakeholders

• Refined relationship development & leadership skills with a track record of success in building credibility across all levels of an organization

• Strong problem-solving skills and a data-driven decision-making approach

• Confidence in your analytical abilities, with proven success in delivering results in ambiguous and sophisticated project efforts

• Skilled in the art of communicating (written and verbal) with both technical and non-technical audiences

• Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts

Responsibilities:

• Own this practice and be responsible for all aspects of its growth. Define ambitious goals, chart a course, and be empowered to work across organizational lines to build a world-class practice

• Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales

• Understand current/future demand and enable, educate, and directly support the salesforce to best position this practice

• Lead the business from a sales, revenue, and profitability perspective by understanding the key P&L levers

• Drive the success of consulting projects by owning both sales and delivery end-to-end

Education Requirements:

• Bachelor’s degree is required

• MBA preferred

Experience Requirements:

• 15+ years of experience in your practice, with preferably 5+ years in a leadership role within data and AI-focused services

• 3+ years managing a business, preferably with P&L responsibility, and proven track record for overseeing financial performance, identifying areas for improvement, and driving profitability and growth

• Strong knowledge of data management, AI governance, machine learning, and AI-driven analytics techniques and technologies, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation)

• In-depth knowledge of statistical methodologies, deep learning algorithms, and AI applications in real-world business contexts

• Proficiency in using AI and data science tools (e.g. Python, TensorFlow, PyTorch, SQL, Tableau, etc.)

Other Requirements:

• Experience in marketing, finance, healthcare, or e-commerce industries

• Experience packaging, pricing, and delivering compelling solutions

• Passion for AI innovation and ability to drive thought leadership in the field

• Proven ability to lead collaboratively and operate in a high-growth environment

• Skilled in articulating a strategy with a strong, agile execution plan

• Comfortable with rolling up your sleeves to do the work, demonstrate traction, and build a team over time

• Demonstrated success in making data-driven decisions and defining key metrics to measure progress

• Ability to walk in the shoes of your audience in order to understand their challenges, develop/execute an approach to solve them, and articulate the solution in a clear and compelling way

• Refined relationship development & leadership skills with a track record of success in building credibility across all levels of an organization

• Confidence in your analytical abilities, with proven success in delivering results in ambiguous and sophisticated project efforts

• Skilled in the art of communicating (written and verbal) with both technical and non-technical audiences

• Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts

Responsibilities:

• Set the vision, own the P&L, develop the Go-to-Market strategy, and drive the growth of your practice

• Develop attractive, scalable offerings that resonate with specific customer segments

• Take services and offerings to market; first, by leading from the front to establish product-market fit with our clients, and then by working with our Practices Operations team to scale adoption and the commercial impact of offerings

• Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales

• Understand current and future demand and enable, educate, and directly support the sales force to position this practice best

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Health Insurance (Allianz)

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Experience Requirements:

• 6+ years of experience in security research, threat intelligence, or vulnerability analysis.

• Experience conducting in-depth security research on emerging threats, vulnerabilities, and attack techniques.

• Strong expertise in reverse engineering, malware analysis, and exploit development.

• Deep understanding of operating system internals, network security, and cryptography.

• Familiarity with security frameworks and methodologies such as MITRE ATT&CK.

Other Requirements:

• Strong analytical skills with the ability to communicate complex security concepts effectively.

Responsibilities:

• Work closely with security teams to implement defensive capabilities and response strategies for an AI product.

• Publish research findings through technical reports, whitepapers, or at security conferences.

• Collaborate with the broader security community to share insights and best practices.

• Stay current with the latest cybersecurity trends, adversarial tactics, and defense mechanisms.

Benefits:

• Working in a young and interdisciplinary start-up team

• Lots of responsibility and creative freedom right from the start

• clear career plan with defined goals

• Exploring the future fields of “artificial intelligence” and “circular economy”

• Active contribution to climate protection & circular economy Active involvement in decisions Team spirit and a family atmosphere

Education Requirements:

• Master's degree or PhD in computer science, data science, artificial intelligence, mechanical engineering or a related field

Experience Requirements:

• 5 years of proven experience in the development of complex software projects

• At least 3 years of professional experience in the development and shipment of AI algorithms in the field of computer vision Experienced in the independent development of software projects

• Several years of professional experience in the development and implementation of AI models and algorithms.

Responsibilities:

• ​Holistic and independent development and shipment of AI models to the customer using our existing data pipeline as well as improvement and extension of existing models Data acquisition, support in annotation processes Further development of data and training pipelines as well as our data workspace Design of AI algorithms (architectures, training procedures, etc.), hyperparameter optimization as well as measurement and implementation of performance-enhancing measures Software-side implementation of AI algorithms in Python with PyTorch Development of interfaces and integration of algorithms in real-time applications Management and maintenance of cloud training environment and data pipeline (Microsoft Azure) Technology stack: Python, PyTorch, PyTorch-Lightning, Azure-ML, Docker, Jupyter notebooks, etc. Technology scouting and active participation in technology decisions Work in autonomous Scrum teams in flat hierarchies with plenty of room to help shape things Collaboration in agile processes with colleagues as well as national and international partners and customers. Willingness to travel to customers and desire to develop the team on site

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave, work-life balance support, flexible hours

Education Requirements:

• Chemistry, engineering or other related science degree

Experience Requirements:

• A self-starter with proven critical thinking, problem solving skills and attention to detail

Other Requirements:

• Proficiency in MS Office

• Strong communication skills both written and verbal

• Quick learner, coachable and adaptable; must be able to retain and apply new information quickly

• Strong demonstrated ability to research

Responsibilities:

• Develop formulas, product specifications, processing parameters and create functionality studies for new maintenance chemicals.

• Conduct field trials and collaborate with internal and external customers to evaluate new products/system performance, assist in preparation of reports/presentations.

• Develop standard operating procedures, compatibility studies and evaluation of new equipment.

• Oversee the testing of physical attributes, stability, and performance of products.

• Recognize early failures and discuss with program leader.

Education Requirements:

• degree in a quantitative or business discipline

Education Requirements:

• Bachelor’s degree in Computer Science, a related field or equivalent experience

Experience Requirements:

• 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data

• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields

• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn

• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)

Responsibilities:

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love

• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners

• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest