129 Computer Vision jobs in London

Computer Vision Engineer - Sports Analytics Innovation

Location: London, UK (Hybrid / Flexible)
Salary: 70,000 base + OTE up to 140k-200k in Year 1

About the Opportunity

We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events.

You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.

Key Responsibilities

Design, implement, and optimize deep learning algorithms for image and video analysis
Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)
Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systems
Curate and preprocess data to maximize training effectiveness
Deploy models into production environments and monitor their performance
Collaborate closely with engineers, data scientists, and product teams to deliver integrated solutions
Stay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches

About You

We're looking for someone who thrives at the intersection of research and applied engineering . You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.

Essential experience:

Strong background in Computer Vision and image/video processing
Hands-on experience with OpenCV pipelines
Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)
Knowledge of CNN architectures and training dynamics
Proven experience deploying and optimizing models for real-time applications
Strong data science and metrics literacy

Nice to have:

PhD or Master's in Computer Science, AI, or related field
Experience with sports data, tracking systems, or analytics platforms
Familiarity with cloud platforms (AWS, GCP) and containerization (Docker)

Why Apply?

Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments
Join a team passionate about research, innovation, and continuous learning
Competitive salary 70k base with exceptional OTE (140k-200k Year 1)
Opportunity to make your mark in a fast-growing, cutting-edge technology sector

If you're excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that's shaping the future of sports technology, we'd love to hear from you.

Computer Vision Engineer - Sports Analytics Innovation

Location: London, UK (Hybrid / Flexible)
Salary: 70,000 base + OTE up to 140k-200k in Year 1

About the Opportunity

We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events.

You'll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.

Key Responsibilities

Design, implement, and optimize deep learning algorithms for image and video analysis
Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)
Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systems
Curate and preprocess data to maximize training effectiveness
Deploy models into production environments and monitor their performance
Collaborate closely with engineers, data scientists, and product teams to deliver integrated solutions
Stay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches

About You

We're looking for someone who thrives at the intersection of research and applied engineering . You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.

Essential experience:

Strong background in Computer Vision and image/video processing
Hands-on experience with OpenCV pipelines
Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)
Knowledge of CNN architectures and training dynamics
Proven experience deploying and optimizing models for real-time applications
Strong data science and metrics literacy

Nice to have:

PhD or Master's in Computer Science, AI, or related field
Experience with sports data, tracking systems, or analytics platforms
Familiarity with cloud platforms (AWS, GCP) and containerization (Docker)

Why Apply?

Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments
Join a team passionate about research, innovation, and continuous learning
Competitive salary 70k base with exceptional OTE (140k-200k Year 1)
Opportunity to make your mark in a fast-growing, cutting-edge technology sector

If you're excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that's shaping the future of sports technology, we'd love to hear from you.

Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
**The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.**
**The Spectacles team is looking for a Machine Learning Engineer to join the AR team in London, UK!**
**In this role, you will be working on state of the art machine learning and computer vision technologies to straddle the boundaries between the real and the virtual world with the next generation of Snap's wearable computing devices.** **Working from our London office, you will be collaborating closely with other Spectacles software and hardware teams around the world.**
**What you'll do:**
+ **Develop and productise novel technologies for the next generation of wearable AR devices.**
+ **Explore and advance state-of-the-art machine learning and computer vision algorithms.**
+ **Develop and deploy machine learning models.**
+ **Work together with our cross-functional engineering and research teams in computer vision, machine learning and AR engineering.**
**Knowledge, Skills & Abilities:**
+ **Deep understanding of machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks**
+ **Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.**
+ **Strong communications and interpersonal skills.**
+ **A genuine passion for learning new things and helping colleagues improve.**
**Minimum Qualifications**
+ **Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience**
+ **Extensive experience post-Bachelor's computer vision/machine learning experience; or Master's degree in a technical field + extensive experience of post-grad computer vision/machine learning experience; or PhD in a relevant technical field + 4 years of post-grad computer vision/machine learning experience**
+ **Experience in developing machine learning models for at least one of the following areas: geometric scene understanding, semantic scene reconstruction, neural scene representation, monocular depth estimation, visual localisation**
**Preferred Qualifications**
+ **Msc/PhD in related field (Computer Vision, Machine Learning)**
+ **Experience in integrating Machine Learning models into Augmented Reality solutions**
+ **Experience in neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource-constrained devices.**
+ **Experience in geometric computer vision such as SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation etc.**
+ **Experience with software development in C++**
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
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**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:** This role is based out of our London, UK office and follows a hybrid model, requiring in-office presence three times per week.
**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.

Our client is a leading innovator in AI and Emerging Technologies, seeking a highly skilled Senior AI Engineer with a specialization in Computer Vision to join their forward-thinking team. This hybrid role, based in London, England, UK , offers the opportunity to work on cutting-edge projects that leverage AI to solve complex real-world problems. You will be instrumental in designing, developing, and deploying advanced computer vision models and algorithms, contributing significantly to the company's technological advancements. This position requires a strong theoretical foundation in AI and machine learning, coupled with extensive practical experience in computer vision applications.

Responsibilities:

• Lead the design, development, and implementation of computer vision systems and algorithms.
• Develop and train deep learning models for tasks such as image recognition, object detection, segmentation, and tracking.
• Utilize frameworks like TensorFlow, PyTorch, and Keras to build and optimize CV models.
• Process and analyze large image and video datasets, ensuring data quality and integrity.
• Collaborate with software engineers to integrate CV solutions into product pipelines and applications.
• Stay current with the latest research and advancements in computer vision and AI.
• Conduct rigorous testing and validation of CV models, ensuring robustness and accuracy.
• Contribute to technical documentation, research papers, and patent applications.
• Mentor junior AI engineers and share expertise within the team.
• Present findings and solutions to both technical and non-technical stakeholders.

Qualifications:

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a focus on Computer Vision.
• Extensive experience in developing and deploying computer vision models in a professional setting.
• Deep understanding of machine learning principles, deep learning architectures (CNNs, RNNs, Transformers), and relevant mathematical concepts.
• Proficiency in Python and experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and collaboration skills, with the ability to work effectively in a hybrid team environment.
• Experience with data augmentation, model optimization, and performance evaluation techniques.
• Familiarity with image and video processing pipelines.
• A passion for innovation and pushing the boundaries of AI.

This is an exceptional opportunity for a seasoned AI professional to shape the future of intelligent systems. The role is based in our London, England, UK office with a flexible hybrid work arrangement.

Senior Data Scientist – Computer Vision

Salary:

£70,000 – £100,000

Data Idols are working with a high-growth InsurTech to hire a Senior Data Scientist who will lead the design and delivery of computer vision data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company’s future data capabilities and have a measurable impact on business performance.nAbout the Role

We are seeking a Senior Data Scientist with strong expertise in computer vision to design and deploy models that solve complex, real-world image challenges. This is a hands-on role where you’ll experiment, build, and scale machine learning solutions, working closely with product and engineering teams in a fast-moving, high-growth environment.nKey Responsibilities

Develop and deploy computer vision models, with a focus on image classification and quality scoringnApply machine learning techniques such as supervised learning and anomaly detection to visual data problemsnWork with large-scale, complex image datasets to create production-ready solutionsnCollaborate cross-functionally to ensure models are effectively integrated and deliver measurable impactnKey Skills & Experience

Proven experience with computer vision, particularly image classification and quality assessmentnStrong grounding in machine learning and statisticsnProficiency in Python and SQLnTrack record of building and deploying production-ready modelsnAbility to thrive in fast-paced, scaling environmentsnWhat We Offer

Equity package, with performance-based bonusesnPrivate healthcarenPension contributionnThis role is an excellent opportunity for a computer vision specialist looking to make a significant technical impact while advancing their career in a scaling environment.nSenior Data Scientist – Computer Visionn#J-18808-Ljbffrn

Our client, a pioneering technology firm at the forefront of AI innovation, is seeking a highly accomplished Lead Machine Learning Engineer specializing in Computer Vision. This role is fully remote, offering an exceptional opportunity for top talent across the UK to drive groundbreaking projects. You will be responsible for designing, developing, and deploying advanced computer vision models and systems that solve complex real-world problems.

Responsibilities:

• Lead the end-to-end development lifecycle of machine learning models for computer vision applications, from data acquisition and preprocessing to model training, evaluation, and deployment.
• Architect scalable and efficient ML systems, ensuring robustness and performance in production environments.
• Collaborate closely with data scientists, software engineers, and product managers to understand requirements and deliver cutting-edge solutions.
• Mentor and guide junior machine learning engineers, fostering a culture of technical excellence and continuous learning.
• Stay abreast of the latest research and advancements in computer vision, deep learning, and related fields.
• Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
• Develop strategies for data augmentation, feature engineering, and model validation.
• Conduct thorough code reviews and ensure adherence to best practices in software development and MLOps.
• Troubleshoot and resolve complex issues in ML pipelines and deployed models.
• Contribute to the company's intellectual property through research, publications, and patents.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Significant professional experience (7+ years) in machine learning engineering, with a strong specialization in computer vision.
• Proven expertise in developing and deploying deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
• Strong understanding of image processing techniques and algorithms.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Docker, Kubernetes, MLflow).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong leadership and team management capabilities.
• Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts effectively.
• Experience with large-scale datasets and distributed training is highly desirable.

This is a key role within a highly innovative company, offering the chance to shape the future of computer vision technology from a remote setting. The position is based in London, England, UK , but operates as a fully remote opportunity for candidates within the UK.

Our client, a pioneering technology firm at the forefront of artificial intelligence, is seeking a Lead AI & Machine Learning Engineer with a specialization in Computer Vision. This is a fully remote position, allowing you to contribute your expertise from your preferred location within the UK. You will be responsible for architecting, developing, and deploying sophisticated computer vision models and systems that power innovative applications. This role demands a deep understanding of deep learning frameworks (TensorFlow, PyTorch), image processing techniques, and algorithm development. You will lead a team of talented engineers, guiding them through the entire machine learning lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment. Responsibilities include:

• Designing and implementing cutting-edge computer vision algorithms for tasks such as object detection, image segmentation, facial recognition, and scene understanding.
• Leading the development of scalable ML pipelines for training and inference.
• Mentoring and guiding junior ML engineers and researchers.
• Collaborating closely with product managers and software engineers to integrate ML models into production systems.
• Staying current with the latest research in AI, ML, and computer vision, and identifying opportunities for innovation.
• Evaluating and selecting appropriate datasets and tools for model development.
• Optimizing model performance for accuracy, speed, and efficiency.
• Presenting technical findings and project progress to stakeholders.
• Ensuring responsible AI practices and ethical considerations are integrated into development.

The ideal candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a minimum of 7 years of experience in ML engineering, including significant experience with computer vision. Strong programming skills in Python and experience with cloud platforms (AWS, GCP, Azure) are essential. A strong publication record in top-tier ML/CV conferences is a significant plus. This remote role requires exceptional analytical skills, a proactive approach to problem-solving, and the ability to thrive in a fast-paced, innovative environment. The position is nominally based in **London, England, UK**, but is fully remote.

**Summary:**
Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking high-performing research engineers to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them.The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, full-stack, real-time, Machine Perception and AI prototypes for egocentric devices such as Meta's Project Aria; Including 3D environment and object reconstruction, semantic understanding as well as estimation and understanding of user motion, actions and activities.
**Required Skills:**
Research Engineer, ML, AI & Computer Vision Responsibilities:
1. Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception
2. Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping
3. Play a critical role in the definition and execution of system research roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon
4. Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
**Minimum Qualifications:**
Minimum Qualifications:
5. Bachelor's degree in Computer Science, Computer Vision, Robotics or a related technical field
6. Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
7. Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
**Preferred Qualifications:**
Preferred Qualifications:
8. Experience with distributed systems or on-device algorithm development
9. Industry experience working on projects such as: real-time Simultaneous Localization and Mapping and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing.
10. Experience in deep learning and PyTorch
11. MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.
**Industry:** Internet