69 Applied Scientist Ii Computer Vision jobs in the United Kingdom

Position Overview:

We are looking for Applied Scientist II to play a key part in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication.

What you will be doing:

• Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
• Communicate your results to the Science team, Engineering and Product teams
• Participate in the machine learning life of the team (reading groups, etc.)
• Learn best machine learning practices from a team of senior applied scientists

Essential Skills:

• Formal training in machine learning and computer vision
• Coding experience in python
• Experience working with at least one deep learning framework (pytorch or tensorflow)
• A strong willingness to learn
• Highly collaborative mindset
• A strong interest for a product-centric organization

Desirable Skills:

• Working knowledge of cloud computing (preferably AWS) and tools and technologies such as docker and git

Where you will be:

At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what’s best for them.

Benefits:

We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive:

• 25 days annual leave plus a day off for your Birthday.
• Two paid volunteering days per year. *
• Bupa Private Medical and Dental Insurance*
• Life Assurance (3x Annual Base Salary) *
• Pension with The People’s Pension (employer contribution 4% of base salary) *
• Generous paid parental leave
• Free mental health coaching provided online
• Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
• Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
• Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
• Expense up to £300 (or local equivalent) to purchase workstation setup equipment
• The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups

About Entrust

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.

For more information, visit . Follow us on, LinkedIn , Facebook , Instagram , and YouTube

NO AGENCIES, NO RELOCATION

**Join us at Entrust?**
At Entrust, we're shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely?
**Get to Know Us?**
Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It's the curiosity, dedication, and innovation that drive our success and help us anticipate the future?
**Join us at Entrust**
At Entrust, we're shaping the future of identity centric security solutions. From our From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely
**Get to Know Us**
Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It's the curiosity, dedication, and innovation that drive our success and help us anticipate the future.
**About the Team**
You'll be joining the team leading Entrust's Identity portfolio, including the solutions formerly Onfido (AI-powered digital identity solution). With the completed acquisition, Entrust now provides the industry's most comprehensive portfolio of AI-powered, identity-centric security solutions.
Our technology helps businesses verify real identities using AI and biometrics, ensuring secure remote customer and business onboarding. By assessing government-issued IDs and facial biometrics with innovative dashboards and fraud signals, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely.
**Position Overview:**
We are looking for **Applied Scientist II** to play a key role in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication.
**What you will be doing:**
+ Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.
+ Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing.
+ Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.
+ Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
+ Communicate technical vision and roadmap at multiple levels within the organisation and externally.
+ Publish research results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences.
+ Contribute to filing patents.
**Essential Skills:**
+ Strong experience in machine learning and computer vision, including industry experience deploying ML models to production.
+ Track record of successfully delivering high performance ML-driven products.
+ Worked with customers to impactfully solve their problems.
+ Deep understanding of machine learning theory.
+ Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.
**Desirable Skills:**
+ Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields.
+ Technical experience with signal processing and image processing techniques.
+ Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.
**Where you will be:**
At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what's best for them.
**Where you will be:**
At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what's best for them.
**Benefits UK**
+ 25 days annual leave plus a day off for your Birthday.
+ Two paid volunteering days per year.*
+ Bupa Private Medical and Dental Insurance*
+ Pension with The People's Pension (employer contribution 4% of base salary)*
+ Generous paid parental leave
+ Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
+ Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
+ Our open and transparent culture is reflected in our "Better Together" motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
+ Expense up to £00 (or local equivalent) to purchase workstation setup equipment
+ The opportunity to become a member of Entrust's resource groups in order to learn different skills in our belonging groups
**Benefits France**
+ 25 days annual leave plus + RTT + 1 day off for your birthday
+ Two paid volunteering days per year*
+ Meal Vouchers provided by Swile. Onfido covers 50% and 50% is deducted from your payroll .
+ Health Insurance (Mutuelle) provided by ALAN
+ Disability & Life insurance (Prevoyance) provided by ALAN (3x Base Salary)
+ Commuter reimbursement up to 40 per month
+ Life enrichment allowance of up to 95 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
+ Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
+ Our open and transparent culture is reflected in our "Better Together" motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
+ Expense up to 00 (or local equivalent) to purchase workstation setup equipment
+ The opportunity to become a member of Entrust's resource groups in order to learn different skills in our belonging groups
At Entrust, we don't just offer jobs - we offer career journeys. Here is what you an expect when you join our team:
+ Career Growth: Whether you're a budding developer or a seasoned expert, we're invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.
+ Flexibility: Life is all about balance. Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.
+ Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.
We believe in securing identities-but it doesn't stop there. At Entrust, we're passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to globagrl affinity groups that connect colleagues across the globe, we're creating a community where everyone is encouraged to be themselves.
**Ready to Make an Impact?**
If you're excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let's build a more secure world-together.
**Apply today!**
For more information, visit ( . Follow us on, LinkedIn ( , Facebook ( , Instagram ( , and YouTube ( AGENCIES, NO RELOCATION**
**#LI-GR1**
**#ENT123**
At Entrust, we don't just offer jobs - we offer career journeys. Here is what you can expect when you join our team:?
+ Career Growth: Whether you're a budding developer or a seasoned expert, we're invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority?
+ Flexibility: Life is all about balance. Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle?
+ Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow?
We believe in securing identities-but it doesn't stop there. At Entrust, we're passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we're creating a community where everyone is encouraged to be themselves?
**Ready to Make an Impact?**
If you're excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let's build a more secure world-together?
**Apply today?**
For more information, visit ( ? Follow us on, LinkedIn ( , Facebook ( , Instagram ( , and YouTube ( US roles, or where applicable:_
**Entrust is an** **EEO/AA/Disabled/Veterans** **Employer**
_For Canadian roles, or where applicable:_
**Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.**
_If you require an accommodation, contact_ _._
**Recruiter:**
Grace Rusingiza

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world - so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication.

What you will be doing:

• Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence.
• Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.
• Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing.
• Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.
• Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
• Communicate technical vision and roadmap at multiple levels within the organisation and externally.
• Publish research results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences.
• Contribute to filing patents.

Essential Skills:

• Strong experience in machine learning and computer vision, including industry experience deploying ML models to production.
• Track record of successfully delivering high performance ML-driven products.
• Worked with customers to impactfully solve their problems.
• Deep understanding of machine learning theory.
• Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.

Desirable Skills:

• Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields.
• Technical experience with signal processing and image processing techniques.
• Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.

Where you will be:

At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what’s best for them.

Benefits:

We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive:

• 25 days annual leave plus a day off for your Birthday.
• Two paid volunteering days per year. *
• Bupa Private Medical and Dental Insurance*
• Life Assurance (3x Annual Base Salary) *
• Pension with The People’s Pension (employer contribution 4% of base salary) *
• Generous paid parental leave
• Free mental health coaching provided online
• Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
• Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
• Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
• Expense up to £300 (or local equivalent) to purchase workstation setup equipment
• The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups

About Entrust

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.

For more information, visit . Follow us on, LinkedIn , Facebook , Instagram , and YouTube

NO AGENCIES, NO RELOCATION

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication.

What you will be doing:

• Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence.
• Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.
• Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing.
• Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.
• Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
• Communicate technical vision and roadmap at multiple levels within the organisation and externally.
• Publish research results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences.
• Contribute to filing patents.

Essential Skills:

• Strong experience in machine learning and computer vision, including industry experience deploying ML models to production.
• Track record of successfully delivering high performance ML-driven products.
• Worked with customers to impactfully solve their problems.
• Deep understanding of machine learning theory.
• Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.

Desirable Skills:

• Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields.
• Technical experience with signal processing and image processing techniques.
• Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.

Where you will be:

At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what’s best for them.

Benefits:

We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive:

• 25 days annual leave plus a day off for your Birthday.
• Two paid volunteering days per year. *
• Bupa Private Medical and Dental Insurance*
• Life Assurance (3x Annual Base Salary) *
• Pension with The People’s Pension (employer contribution 4% of base salary) *
• Generous paid parental leave
• Free mental health coaching provided online
• Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
• Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
• Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
• Expense up to £300 (or local equivalent) to purchase workstation setup equipment
• The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups

About Entrust

Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.

For more information, visit . Follow us on, LinkedIn , Facebook , Instagram , and YouTube

NO AGENCIES, NO RELOCATION

Senior Applied Researcher / Data Scientist – Computer Vision

• Paying up to £110k + Shares
• London office – remote first policy
• Leading SportsTech Business

I am working with aglobal leader in sports technology that's redefining how coaches, athletes, and fans experience the game. From grassroots to elite professional teams, this company's products empower users to capture, analyse, and share video and .

WHJS1_UKTJ

Description
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.
Key job responsibilities
As an Applied Scientist, you will own the design and development of end-to-end systems. You'll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
About the team
The Automated Performance Evaluation (APE) team is a hybrid team of Applied Scientists and Software Development Engineers who develop, deploy and own end-to-end machine learning services for use in the HR and Recruiting functions at Amazon.
Basic Qualifications
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

**Summary:**
The Reality Labs organisation at Meta is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we're just getting started.We are looking for an experienced leader to manage and continue to build a world-class computer vision and generative AI team dedicated to advancing the state-of-the-art of human-centric generative models, including multimodal talking heads, human video generation, AI-driven avatars, and the modelling of conversational and interactive mannerism. You will be responsible for recruiting, career growth, organisational health, guiding overall direction, and supporting multiple teams and projects working in a fast-paced multidisciplinary environment.
**Required Skills:**
Research Scientist Manager, Computer Vision & GenAI Responsibilities:
1. Build, lead, mentor, inspire, and enable a world-class CV and GenAI team.
2. Work with leadership, researchers, and cross-functional teams to develop and pursue a vision for human-centric GenAI.
3. Enable a team to research and develop advanced computer vision and GenAI technologies, including multimodal talking heads, human video generation, AI-driven avatars, and the modelling of conversational mannerism.
4. Explore the problem and solution space through creating proofs of experience and getting feedback from user research
5. Establish a research/incubation/productisation roadmap and strategy
6. Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.)
**Minimum Qualifications:**
Minimum Qualifications:
7. PhD in Computer Science or related field
8. Experience in computer vision, generative AI, computer graphics, or human-computer interaction research
9. Experience of building and managing high-performance teams in multi-disciplinary global organisations at the intersection of research and product
10. Technical knowledge in machine learning and optimisation.
**Preferred Qualifications:**
Preferred Qualifications:
11. Research experience in facial analysis, affective computing, and face & body generation and animation.
12. Experience as lead investigator for which results were achieved or established
13. Subject matter expertise demonstrated through publications, patents, and shipped products.
14. Experience leading a team that transferred technology from research in computer vision and GenAI into a shipping product.
15. Experience managing joint hardware-software development and associated rapid prototyping
16. Experience leading an organization at various levels ranging from interns to principal research scientists.
**Industry:** Internet

**Summary:**
The Reality Labs organization at Meta is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we're just getting started.Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as DL, Computer Vision, Affective Computing, Behaviour Understanding, and Generative AI. As a Research Scientist, you will help us develop models, algorithms, datasets, and evaluation methodologies for the generation and animation of avatars to facilitate new and engaging user experiences, and apply them to large-scale production that has the potential to reach billions of users.
**Required Skills:**
Research Scientist, GenAI & Computer Vision (Pixel Synthesis) Responsibilities:
1. Help to develop the next generation of GenAI models for avatar creation and animation.
2. Harness passion for technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
3. Employ knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.
4. Work towards long-term ambitious research goals, while identifying intermediate milestones.
5. Disseminate findings of research by publishing papers in high impact conferences and journals.
**Minimum Qualifications:**
Minimum Qualifications:
6. PhD degree in Computer Science, Computer Engineering, Computer Graphics, Applied Sciences, Mathematics, Physics, or related field.
7. Experience in Python and PyTorch.
8. Track record of publishing papers in high-quality journals and conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NIPS.
9. 1+ years of work experience in a university or industry, in a role with primary emphasis on AI research
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience with generative AI / neural rendering models.
11. Experience with affective computing and behaviour understanding.
12. Experiences in the creation and processing of large audio-visual datasets.
13. Experiences in solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.
**Industry:** Internet

**Summary:**
Meta Reality Labs brings together an R&D team of researchers, developers, and engineers with the shared goal of developing the next generation of XR experiences across the spectrum. Our Research team explores, develops, publishes, and delivers novel and cutting-edge technologies for creating photorealistic 3D and 4D worlds from large-scale and heterogeneous data sources. Our team is addressing a variety of technical challenges including generative world foundation model development, static and dynamic reconstruction using radiance fields, semantic scene understanding, and related domains. We're looking for candidates who share a passion for exploring and solving complex, challenging problems at the intersection of generative modeling and photorealistic 3D/4D reconstruction. The ideal candidate has an exceptional, proven track record in 3D generative model development and is an outstanding software engineer who can prototype and verify novel algorithms. The aim of this role is to develop and advance state of the art research in 3D/4D Generative AI technologies.
**Required Skills:**
Computer Vision Research Scientist Responsibilities:
1. Research and develop novel computer vision models in Generative AI, with a focus on photorealistic 3D/4D scene generation
2. Publish research results at top-tier international conferences
3. Collaborate with team members throughout the lifetime of a project, from early research through prototyping
4. Develop research that can be applied to Meta's VR/AR product development
**Minimum Qualifications:**
Minimum Qualifications:
5. PhD in the field of computer vision, machine learning, robotics, or equivalent
6. Work experience in a faculty, industry, or government research position with primary emphasis on AI research
7. Background in generative AI, 3D computer vision, video, and image generation
8. Experience designing generative machine learning algorithms, including data curation, large-scale training, and inference of novel ML architectures
9. Experience working in cross functional collaborations
**Preferred Qualifications:**
Preferred Qualifications:
10. Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering
11. Experienced in advanced geometric computer vision, computational imaging, large scale numerical optimization, state estimation, and sensor fusion.
12. Experience working in a Linux environment
13. Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
**Industry:** Internet