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

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

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:

• 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

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:

• 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:

• 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

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 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 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