1,070 Senior AI Engineers jobs in Singapore

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.

We're all in, are you? Join EY and shape your future with confidence.

The opportunity

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for passionate GenAI Engineers to join our growing team. This role combines expertise in artificial intelligence, natural language modelling, machine learning and software engineering to develop and deploy multi-agentic workflows & applications.

Your key responsibilities

• Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
• Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs and data pipelines on cloud-based platforms (example Microsoft Azure, AWS).
• Develop, refine, and implement advanced NLP (natural language processing) & predictive models to generate insights from complex structured and unstructured data sets.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
• Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
• Utilize full-stack development knowledge using DevOps with hands-on practice in language like Python, Java, React ) language to develop end-to-end application.
• Collaborate with stakeholders, presenting findings to a business / management audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.

Skills and attributes for success

• Experience / beginner knowledge in Natural Language Processing (NLP), Machine Learning, , Generative AI, Data Transformation, Scripting.
• Knowledge and experience in project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on exploratory analysis, data science, Big Data analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experience
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min bachelor's degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 1 year of experience with any of the domain - Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM).
• Proficiency in Python and other applicable full-stack software programming languages.
• Strong knowledge of machine learning, language modelling, data mining, and predictive modeling.
• Excellent understanding of data science algorithms, processes, tools, and platforms.
• Possess a strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments
• Knowledge of API integration, containerization (E.g., Docker), cloud platforms (E.g. Azure, AWS, GCP), automated testing frameworks, and CI/CD practices

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you'll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you'll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply today

Job Summary: The AI Engineer will be a key contributor to Heineken's Global GenAI Lab in Singapore, designing, developing, and implementing end-to-end AI solutions that deliver measurable business impact across the organization. This role combines deep technical expertise in generative AI with strong software engineering skills to build scalable, production-ready systems. You will work as part of a fast-moving technical team with start-up agility within enterprise scale, experimenting with cutting-edge AI technologies while solving real-world business challenges through innovative GenAI applications. The ideal candidate is a versatile engineer who can adapt quickly, think creatively, and become a domain expert while collaborating effectively in a fast-paced, high-impact environment.
Key Responsibilities
AI Solution Development
Design and develop GenAI models and applications from concept to production, including model selection, fine-tuning, and optimization for specific business use cases.
Build end-to-end AI solutions that integrate seamlessly with existing enterprise systems and workflows.
Implement sophisticated prompting strategies and language engineering techniques to maximize model performance and reliability.
Create functional demonstration interfaces and prototypes using tools like Gradio, Streamlit, or custom web applications.
Software Engineering & API Development
Build robust, scalable APIs and microservices that serve AI models in production environments.
Develop containerized applications using Docker and orchestration platforms for reliable deployment.
Create and maintain clean, well-documented code that follows best practices for enterprise software development.
Implement proper error handling, logging, and monitoring for AI applications.
Design and implement robust data pipelines for preparation, cleaning, and integration of diverse data sources.
Handle enterprise data challenges including Excel files, PowerPoint presentations, and Office 365 integrations.
Build ETL processes that ensure data quality and consistency for AI model training and inference.
Implement data processing solutions that scale efficiently with growing data volumes.
Develop data validation and monitoring systems to maintain pipeline reliability.
Integrate AI solutions with existing business systems, databases, and enterprise applications.
Navigate complex enterprise environments and work with legacy systems and data formats.
Implement security best practices and ensure compliance with enterprise governance requirements.
Manage model lifecycle including version control, A/B testing, and performance monitoring.
Experiment with emerging GenAI technologies, frameworks, and methodologies
Conduct applied research to solve novel business problems using state-of-the-art AI techniques.
Evaluate and benchmark different AI models and approaches for specific use cases.
Contribute to the lab's knowledge base and share learnings across the team
Key Requirements
Education:
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related technical field preferred. Strong consideration given to candidates with equivalent practical experience, professional certifications (including AI Singapore certifications), or demonstrated expertise through portfolio work and contributions to AI projects.
Experience:
5+ years of software engineering experience with strong proficiency in Python and modern development practices.
Minimum 2 years of hands-on experience with LLMs, RAG systems, and generative AI applications.
Proven track record of building and deploying production AI/ML systems in enterprise environments.
Experience with API development, microservices architecture, and cloud platforms.
Background in data engineering, ETL processes, and working with enterprise data systems.
Technical Skills - Must have expertise in at least 5 of the following areas:
GenAI Frameworks : OpenAI API, Anthropic Claude, Google Gemini, Hugging Face transformers, LangChain, LlamaIndex.
Language Engineering : Advanced prompting techniques, chain-of-thought reasoning, RAG implementation, fine-tuning strategies.
Software Development : Python, FastAPI/Flask, RESTful APIs, microservices architecture, containerization (Docker).
MLOps : Model versioning, CI/CD for ML, monitoring and observability, A/B testing frameworks.
NLP Fundamentals : Text processing, embedding models, semantic search, document parsing and analysis.
Cloud Platforms : Azure, AWS, or GCP with experience in managed AI services
Development Tools : Git, JIRA, agile methodologies, code review processes.
Data Formats : JSON, XML, Excel processing, document parsing, unstructured data handling.
Soft Skills
Strong problem-solving abilities with creative approach to technical challenges.
Excellent collaboration skills and ability to work effectively in cross-functional teams.
Adaptability and eagerness to learn new technologies and methodologies quickly.
Self-motivated with ability to work independently while contributing to team objectives.
Strong communication skills to explain complex technical concepts to non-technical stakeholders.
Passion for becoming a subject matter expert while maintaining broad technical versatility.
Entrepreneurial mindset with willingness to experiment and take calculated risks.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology, Consulting, and Project Management
Industries: Food and Beverage Manufacturing and Manufacturing
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr

Skip to content
AI Engineers, Associate - Manager / AI & Data / Technology Consulting
Add expected salary to your profile for insights
At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.
We’re all in, are you? Join EY and shape your future with confidence.
The opportunity
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.
We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
We are looking for a AI Engineers within the AI & Data team in our Singapore office. This role is offered on a flexible full-time basis.
Your key responsibilities
Develop, refine, and implement advanced predictive models to generate insights from complex structured and unstructured data sets.
Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.
Lead the integration of LLMs and LangChain into business processes.
Understand the business requirements and design the data science solution in a way that marks the improvement in business processes using AI.
Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
Skills and attributes for success
Experience in ETL, Data Engineering, Scripting.
Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
Exceptional communication, documentation and presentation skills and stakeholder management experiences
Experience in business intelligence, data warehousing/platform, and data strategy projects
To qualify for the role, you must have
Min Bachelor’s degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
Proficiency in Python and other applicable programming languages.
Strong knowledge of machine learning, data mining, and predictive modeling.
Excellent understanding of machine learning algorithms, processes, tools, and platforms.
Possess strong problem-solving and strategic thinking abilities.
What we look for
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
What we offer
EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.
Plus, we offer:
Continuous learning:You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you:We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership:We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, apply today!
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
All in to shape the future with confidence.
Apply now.
How do your skills match this job?
How do your skills match this job? Sign in and update your profile to get insights.
EY is a global professional services organisation providing advisory, assurance, tax and transaction services. We are committed to doing our part in building a better working world for our people, our clients and our communities. And we are united by our shared values and a dedication to delivering exceptional client service.
EY is a global professional services organisation providing advisory, assurance, tax and transaction services. We are committed to doing our part in building a better working world for our people, our clients and our communities. And we are united by our shared values and a dedication to delivering exceptional client service.
Be careful This job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information. Learn how to protect yourself Report this job ad
Your email address
Reason for reporting job
Additional comments
To help fast track investigation, please include here any other relevant details that prompted you to report this job ad as fraudulent / misleading / discriminatory.
Researching careers? Find all the information and tips you need on career advice.
#J-18808-Ljbffr

Notifications You must be signed in to change notification settings
(Remote) RSS3 is looking for AI engineers #415
RSS3 is a decentralized network indexing and structuring open information, making it accessible and valuable for the next Twitter, Google, and OpenAI.
We advocate for the power of freedom of information and emphasize its openness, accessibility and universal availability. Unlike major platforms such as Twitter, Facebook, Instagram, and TikTok that control vast amounts of public information, we urge individuals to redirect the power of data giants toward the public good by supporting decentralized channels and networks, and envision a world where open information empowers everyone.
RSS3 was launched by Natural Selection Labs and is backed by top investors including Arweave, Coinbase, Coinshares, Dapper Labs, Dragonfly, Fabric Ventures and Hashkey.
We are a globally distributed organization: all of our members come from different countries, including US, Canada, UK, China, Singapore, New Zealand, and Australia.
Our team is
equal, open, and free . We advocate
flexible
working hours , so both early birds and night owls are welcome!
Since our establishment, we have made significant progress and are incredibly proud of our team culture and atmosphere.
Responsibilities
In this role, you'll embark on an exciting journey to harness the potential of decentralized data. You'll be creating and improving state-of-the-art Web3 x AI solutions using decentralized data, driving the acceleration of Internet decentralization. Your contributions will shape the future of how everyone interacts with information, opening up avenues to democratize access to decentralized networks.
We want you to:
Refine and optimize Language User Interface (LUI) products
Leverage MoE/CoT frameworks to push boundaries
Design and implement modular and open source AI components using decentralized data
Play a pivotal role in driving the decentralization of the Internet
Requirements
Recognize our team culture and value
Deep understanding of Machine Learning and Deep Learning
Experience in Open LLMs such as Llama/Mistral/GLM
Experience in frameworks such as LangChain
Experience in vector databases such as Milvus/Chroma
Mastery of software engineering principles
Strong communication and collaboration skills
Nice to Haves
Prior experience in fully-remote roles
Understanding of Web3 and blockchain technology
Insightful views of cutting-edge Open LLM models
Job Nature
Full-time
Remote
We offer:
A chance to directly participate in the Internet revolution and make the world a better place.
Opportunities to collaborate with the world’s top Open Web projects.
A team of loving and competent companions!
FULLY-REMOTE
role with very flexible working hours.
An
AWESOME & CARING
company culture.
Competitive allowances and benefits.
We are committed to diversity and welcome talented applicants from all walks of life to apply! All applicants will be considered regardless of race, color, religion, gender identity, sexual orientation, nationality, veteran or disability status.
#J-18808-Ljbffr

This role is part of pioneering algorithms and chips for artificial intelligence and image processing.

The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities.

We are developing deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.

Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.

We execute deep network compression tailored for ASIC platforms.

Staying up-to-date with the latest advancements in deep learning and computer vision literature, we proactively propose novel concepts.

Our contributions include patent and research paper publications.

To be considered for this position, you must have a Master Degree/ PhD in Computer Science, electrical engineering, or a related field, along with 3+ years of experience in computer vision / machine learning development.

Implement AI models for 3D data generation using deep learning techniques. Strong experience in 3D computer vision and 3D graphics required. Responsibilities include data preprocessing and feature engineering. Expert in GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

LOCATION

EMPLOYMENT TYPE

Permanent

1. Developing and implementing deep learning models for 3D data, such as point clouds, voxel grids, and triangle meshes.
2. Training and fine-tuning deep learning models on large datasets of 3D data, such as 3D scans of real-world objects and environments.
3. Using deep learning to extract features and representations from 3D data, such as object segmentation, surface normal estimation, and 3D object recognition.
4. Researching and implementing new techniques for 3D deep learning, such as point cloud convolutional neural networks and volumetric convolutional neural networks.
5. Collaborating with other engineers and researchers to integrate 3D deep learning models into other systems, such as robotics and autonomous vehicles.
6. Building and deploying 3D deep learning models on various platforms, including cloud, edge, and mobile devices.
7. Optimizing the performance of 3D deep learning models, including reducing memory and computational requirements and improving inference speed.
8. Communicating the results of their research and development activities to stakeholders and customers, including technical and non-technical audiences.
9. Keeping up with current research and developments in the field of 3D deep learning and identifying new opportunities for applying 3D deep learning to real-world problems.
10. Utilizing NVIDIA's deep learning frameworks, such as CUDA, cuDNN, and TensorRT, to optimize the performance of 3D deep learning models.
11. Using NVIDIA's Jetson platform for deploying deep learning models on edge devices.
12. Using NVIDIA's GPU-accelerated cloud platforms, such as NVIDIA GPU Cloud (NGC), for training and deploying deep learning models in the cloud.
13. Leveraging NVIDIA's AI-specific hardware, such as the NVIDIA A100 Tensor Core GPU, for faster and more efficient training and inference of deep learning models.
14. Utilizing NVIDIA's AI development tools, such as DeepStream and Isaac, to develop and deploy AI-powered applications for robotics and autonomous systems.
15. Using NVIDIA's Clara platform for medical imaging and other 3D data analysis.
16. Utilizing NVIDIA's Omniverse platform for creating and training models in virtual environments.

1. Strong technical skills: A 3D Deep Learning Engineer should have a solid understanding of deep learning and computer vision, as well as experience with programming languages such as Python and C++.
2. Experience with 3D data: You should have experience working with 3D data, such as point clouds, voxel grids, and triangle meshes, and should be familiar with the techniques and algorithms used for processing 3D data.
3. Experience with deep learning frameworks: You should have experience working with deep learning frameworks, such as TensorFlow, PyTorch, and NVIDIA's CUDA, cuDNN, and TensorRT, and should be familiar with the techniques used to optimize the performance of deep learning models.
4. Strong problem-solving skills: You should have strong problem-solving skills and be able to develop creative solutions to complex technical challenges.
5. Attention to detail: You should be meticulous and pay attention to detail, as small errors or bugs in the code can cause significant problems.
6. Strong communication skills: You should be able to effectively communicate technical ideas and solutions to both technical and non-technical audiences.
7. Flexibility and Adaptability: You should be able to adapt and learn quickly as the field of AI is constantly evolving and new techniques and technologies are emerging.
8. Creativity: You should have a creative mindset and be able to come up with new and innovative solutions to problems.
9. Team Player: You should have good collaboration skills and be able to work well in a team environment.
10. Passion for technology: You should have a genuine passion for technology and a desire to learn and stay current with the latest developments in the field.

We are seeking a talented and innovative individual to join our team as a Deep Learning Algorithm Specialist. In this role, you will have the opportunity to design and develop cutting-edge AI models that power TikTok's search engine.

You will be working on building a full-stack search engine system based on advanced AI and machine learning methods to provide a world-leading search experience. We value self-direction, intellectual curiosity, openness, and problem-solving, and we're looking for someone who shares these qualities.

• Final year or recent graduate with a background in Computer Science or a related technical field.
• Proficient coding skills and strong algorithmic and data structure knowledge using C++/Python/Java.
• Solid knowledge of machine learning and practical experience in applying it.

• Opportunity to work on real-world projects and make meaningful contributions to the company.
• Collaborative and dynamic work environment.
• Competitive compensation and benefits package.
• Access to cutting-edge technology and tools.

TikTok is a global community where creativity and joy come together. Our mission is to inspire people to express themselves authentically and connect with others. We're passionate about fostering an inclusive and diverse workplace culture that reflects the communities we serve.

Implement AI models for 3D data generation using deep learning techniques. Strong experience in 3D computer vision and 3D graphics required. Responsibilities include data preprocessing and feature engineering. Expert in GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
LOCATION
EMPLOYMENT TYPE
Permanent
What You’ll Do
Developing and implementing deep learning models for 3D data, such as point clouds, voxel grids, and triangle meshes.
Training and fine-tuning deep learning models on large datasets of 3D data, such as 3D scans of real-world objects and environments.
Using deep learning to extract features and representations from 3D data, such as object segmentation, surface normal estimation, and 3D object recognition.
Researching and implementing new techniques for 3D deep learning, such as point cloud convolutional neural networks and volumetric convolutional neural networks.
Collaborating with other engineers and researchers to integrate 3D deep learning models into other systems, such as robotics and autonomous vehicles.
Building and deploying 3D deep learning models on various platforms, including cloud, edge, and mobile devices.
Optimizing the performance of 3D deep learning models, including reducing memory and computational requirements and improving inference speed.
Communicating the results of their research and development activities to stakeholders and customers, including technical and non-technical audiences.
Keeping up with current research and developments in the field of 3D deep learning and identifying new opportunities for applying 3D deep learning to real-world problems.
Utilizing NVIDIA's deep learning frameworks, such as CUDA, cuDNN, and TensorRT, to optimize the performance of 3D deep learning models.
Using NVIDIA's Jetson platform for deploying deep learning models on edge devices.
Using NVIDIA's GPU-accelerated cloud platforms, such as NVIDIA GPU Cloud (NGC), for training and deploying deep learning models in the cloud.
Leveraging NVIDIA's AI-specific hardware, such as the NVIDIA A100 Tensor Core GPU, for faster and more efficient training and inference of deep learning models.
Utilizing NVIDIA's AI development tools, such as DeepStream and Isaac, to develop and deploy AI-powered applications for robotics and autonomous systems.
Using NVIDIA's Clara platform for medical imaging and other 3D data analysis.
Utilizing NVIDIA's Omniverse platform for creating and training models in virtual environments.
Who You Are
Strong technical skills: A 3D Deep Learning Engineer should have a solid understanding of deep learning and computer vision, as well as experience with programming languages such as Python and C++.
Experience with 3D data: You should have experience working with 3D data, such as point clouds, voxel grids, and triangle meshes, and should be familiar with the techniques and algorithms used for processing 3D data.
Experience with deep learning frameworks: You should have experience working with deep learning frameworks, such as TensorFlow, PyTorch, and NVIDIA's CUDA, cuDNN, and TensorRT, and should be familiar with the techniques used to optimize the performance of deep learning models.
Strong problem-solving skills: You should have strong problem-solving skills and be able to develop creative solutions to complex technical challenges.
Attention to detail: You should be meticulous and pay attention to detail, as small errors or bugs in the code can cause significant problems.
Strong communication skills: You should be able to effectively communicate technical ideas and solutions to both technical and non-technical audiences.
Flexibility and Adaptability: You should be able to adapt and learn quickly as the field of AI is constantly evolving and new techniques and technologies are emerging.
Creativity: You should have a creative mindset and be able to come up with new and innovative solutions to problems.
Team Player: You should have good collaboration skills and be able to work well in a team environment.
Passion for technology: You should have a genuine passion for technology and a desire to learn and stay current with the latest developments in the field.
#J-18808-Ljbffr

Position Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Research Scientist in this role, you will collaborate closely with leading researchers to forge cutting-edge perception algorithms aimed at tackling real-world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real-time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.
• Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.
• Execute deep network compression tailored for ASIC platforms.
• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.
• Contribute to patent and research paper publications.

Job Requirements:

- Master Degree/ PhD in Computer Science, electrical engineering, or a related field.

- Possess 3+ years of experience in computer vision / machine learning development.

- Demonstrated expertise in research and development within one or more of the following domains:

• Deep network development, particularly with visual data.
• Object detection and tracking.
• Stereo / optical flow / depth estimation.
• Multi-view geometry and 3D computer vision.
• Structure from motion.
• Network compression and optimization.
• Network-based sensor fusion.
• Mathematical optimization.
• Proficient programming skills in Python (knowledge of C++ is advantageous).