AI Jobs

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

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

Benefits:

• very competitive salary package

• full benefits (medical, dental, vision & life insurance, etc)

Education Requirements:

• PhD (or MS working towards a PhD) in Computer Science, related technical field

Experience Requirements:

• equivalent practical experience with an outstanding publication and service track record commensurate with experience

• Strong programming experience in one or more of the following: C, C++, Python, Java

• Relevant work experience, including full-time industry experience or as a researcher in a lab

• Strong publication record

Other Requirements:

• Ability to design and execute a research agenda

• Personal or professional experience in working with people of diverse backgrounds

Responsibilities:

• Participate in cutting edge research in the following areas: Data Management and Integration, Data Mining, Machine Learning, Natural Language Processing, Knowledge Representation, Bot interfaces, Crowdsourcing, and Visualization

• Develop solutions for real world, and work on large scale problems

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 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

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

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct cutting-edge research at the intersection of machine learning, multimodal data, and generative modeling to advance the state of AI across audio, text, vision, and other modalities.

• Develop novel algorithms for multimodal understanding and generation, leveraging new architectures, training algorithms, datasets, and inference techniques.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures).

• Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Conduct cutting-edge research to improve the efficiency, scalability, and robustness of inference for state-of-the-art AI models across various modalities, including audio, text, and vision.

• Design and optimize inference pipelines to balance performance, latency, and resource utilization in diverse deployment environments, from edge devices to cloud systems.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Lead the design and creation of high-quality datasets tailored for training cutting-edge audio models, focusing on tasks such as speech recognition, enhancement, separation, synthesis, and speech-to-speech systems.

• Develop strategies for curating, augmenting, and labeling audio datasets to address challenges like noise, variability, and diverse use cases.

• Design innovative data augmentation and synthetic data generation techniques to enrich training datasets and improve model robustness.

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Experience Requirements:

• At least 5 years of experience in implementing and training models including advanced degrees (MS/PhD, if any).

Responsibilities:

• implement new model backbones, architectures and training algorithms,

• rapidly run and iterate on experiments and ablations,

• build training infrastructure that scales to massive multimodal datasets,

• stay up-to-date on new research ideas.

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:

• 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