Remote (US based)

About the Role: As a Lead Machine Learning R&D Engineer at Matterport, a part of CoStar Group, you will be at the forefront of innovating and advancing our spatial computing platform. You will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins. This role requires a deep understanding of ML principles, a passion for solving complex real-world problems in 3D data, computer vision, and a desire to contribute to a product that is revolutionizing how people interact with and understand real estate. You will work within a dynamic R&D environment, collaborating closely with fellow engineers, researchers, and product teams to translate groundbreaking ideas into tangible features that empower our users and expand the capabilities of our platform.

Responsibilities: - Conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms and models for spatial understanding and digital twin creation. - Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets, including point clouds, meshes, and images. - Translate research prototypes into production-ready solutions, collaborating closely with engineering teams to integrate ML models into Matterport's core platform. - Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements to our ML capabilities. - Stay up-to-date with the latest advancements in ML research and industry trends, and proactively identify opportunities to apply new techniques to Matterport's challenges. - Collaborate with cross-functional teams including product managers, software engineers, and other researchers to define project requirements, explore technical feasibility, and deliver high-impact features. - Present research findings and technical solutions to internal teams and potentially the broader ML community. - Contribute to the architectural design and strategic roadmap of Matterport's ML systems and research initiatives. - Contribute to the intellectual property of Matterport through patents and publications.

Basic Qualifications: - Bachelor’s Degree required from an accredited, not for profit university or college.
- A track record of commitment to prior employers - 3+ years of experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, or related areas. - Proficiency in Pytorch and strong programming skills in Python. - Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers), optimization techniques, and evaluation methodologies. - Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas). -Demonstrated ability to conduct independent research, propose novel solutions, and implement them effectively. - Excellent problem-solving skills and the ability to work with complex, real-world datasets. - Strong verbal and written communication skills.

Preferred Qualifications & Skills: - Ph.D. or Masters Degree in Computer Science, Computer Vision, Machine Learning, Robotics, or a related quantitative field. - 5+ years of industry experience in applied machine learning research and development, particularly with shipping models to production. - Demonstrated expertise in one or more of the following areas: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation.

Remote (US Based)

About the Role: As a Senior Software Engineer on the 3D Experiences team at Matterport, a part of CoStar Group, you will be at the forefront of creating engaging user experiences and insights around Matterport’s 3D model technology. You will play a critical role in researching, developing, and implementing new features to our model viewer and editing platforms, maintaining existing feature sets, influencing code architecture, and impacting the way we build software together. You will work within a dynamic R&D environment, collaborating closely with fellow engineers, researchers, product, and design teams to translate groundbreaking ideas into tangible features that empower our users and expand the capabilities of our platform. Your work will be seen by 100’s of millions of viewers of Matterport models around the world and will be at the core of our customers' day-to-day workflows.

This position can be located remotely across the continental United States.

Responsibilities: - Implement new features for our 3D model viewer and editing tools utilizing Typescript, Three.js WebGL, and React. - You will develop new ways for our customers to interact, augment, and enhance their Matterport models with data. - Work with a cross-functional team of product managers, designers, and fellow engineers to define project requirements, explore technical feasibility, and deliver high-impact features. - Create working prototypes for new concepts, ideas, or platforms we want to explore. - Present concepts, progress, and delivered results to peers and stakeholders. - Advocate for new technical architecture and innovation.

Basic Qualifications: - Bachelor’s Degree in Computer Science or related field from an accredited, not for profit, in-person university or college - 5+ years of experience developing and maintaining user-friendly, performant web applications - Demonstrated proficiency working with Typescript, WebGL, and/or React - Experience working on a team, supporting teammates through peer review, and releasing software in a team environment with multiple work streams. - Versed and capable of solving problems in 3D space. - A track record of commitment to prior employers

Preferred Qualifications: - Master’s Degree in Computer Science or related field - 8+ years of experience working with Typescript, WebGL, and React building performant web applications. - Strong proficiency working with Three.js - Exposure to architectural patterns of large JavaScript applications. - Experience writing unit tests and mocking. - Experience shipping software in a large codebase to a large audience. - Experience working with Snowflake, Looker, and other advanced analytics tools. - Experience with mobile web-based application development. - Experience with AR/VR application development.

Irvine, CA

About the Role: Matterport is looking for a Senior Technical Business Analyst to join our Business Services team.  You’ll be working in a middleware layer that connects our Matterport Platform to multiple systems both internal to Matterport and throughout CoStar Group. The primary focus of this group is to manage integrations at scale, focused on financial and sales backend systems and how they interact with our Platform.  In addition to typical Technical Product Manager responsibilities, this role will play a key part in managing and optimizing our SaaS subscription offerings. You will work closely with Customer Support and Finance teams to ensure seamless onboarding, billing, and ongoing customer satisfaction. Your work will directly impact the customer experience and financial operations, requiring strong communication and problem-solving skills across departments. We handle billions of requests each month, so you must be comfortable optimizing for scale and quality.  The ideal candidate for this role will thrive in a fast-paced environment, be able to pivot when needed and have exceptional personal drive.  You should be able to efficiently build business cases, prioritize work, refine requirements for the engineering team and communicate with stakeholders to achieve optimal outcomes for the business.

This position is in Irvine, CA and offers a schedule of Monday to Thursday in the office and work from home on Fridays.

Responsibilities: - Guide the design, implementation and deployment of new features and services - Collaborate with Customer Support to resolve subscription-related issues and improve customer experience. - Partner with Finance to streamline billing, invoicing, and revenue recognition for SaaS products. - Oversee the end-to-end lifecycle of SaaS subscriptions, including onboarding, renewals, and cancellations. - Work with a cross-functional team of product managers, designers, engineers and QA with direct communication channels - Be an advocate for good engineering practices - Contribute to a learning culture - Generate complete user stories for the development team to efficiently do their work - Respond and assist with issues that are raised by internal and external groups - Holding regular stakeholder/grooming meetings to keep all interested parties updated in project progress - Document user requirements and business rules to be used in application development

Basic Qualifications: - Bachelor's degree required from an accredited, not-for-profit, in-person college/university - A track record of commitment to prior employers - 5+ years of experience as Product Manager, Owner, or Business Analyst - Significant experience designing and delivering features and services in a cloud environment, using a modern OOP language and tooling - Experience with CRM and ERP systems, such as Salesforce and NetSuite ​
- Experience defining and working with order-to-cash processes - Experience and leadership in fast-paced, Agile Scrum environments - Strong project management skills - Experience with technical documentation or product use case writing ​ - Strong experience collaborating with cross-functional teams to achieve business outcomes - Strong written and verbal communication skills; Must be able to communicate at a level appropriate to the audience (stakeholders, peers and senior management)
- Ability to identify opportunities for the team to improve and implement changes as needed - Deep experience with agile frameworks, such as Scrum, Kanban or SAFe

Remote (US based)

About the Role As a Lead CV/ML Engineer on our Vision & Learning team, you will be at the forefront of developing the next generation of our 3D capture technology. You will be a key link between capture devices and software teams, designing and implementing the core image processing algorithms that make our 3D reconstruction possible. You will collaborate closely with hardware engineers to define technical requirements for new capture hardware and sensors. Your work will involve designing and optimizing the entire image processing pipeline - from on-device capture corrections to sophisticated cloud-based enhancements - ensuring the highest possible image quality as the input to our reconstruction engine. This role is pivotal in improving the visual fidelity, accuracy, and robustness of the digital twins our users create.

What You Will Do - Collaborate with hardware and optical engineering teams to define technical requirements for next-generation capture devices, focusing on sensor characteristics, image quality, and system integration. - Design, implement, and optimize robust, high-performance software for on-device (embedded) and cloud-based image processing pipelines. - Develop and improve computational photography algorithms for real-time capture, including (but not limited to) HDR imaging, auto-exposure, auto-white balance, noise reduction, and lens distortion correction. - Enhance and optimize image processing steps within the 3D reconstruction pipeline, such as stitching, color correction, and texture map generation. - Research and prototype novel image processing and computational photography techniques to enhance the quality, speed, and robustness of our 3D models. - Work closely with computer vision and deep learning engineers to ensure your image processing outputs are optimized for downstream tasks (e.g., SLAM, neural rendering, photogrammetry). - Profile, debug, and optimize image processing algorithms for various hardware platforms, including embedded systems and cloud GPUs. - Write high-quality, well-tested, and maintainable C++ and Python code.

Basic Qualifications - Bachelor's degree in Computer Science, Electrical Engineering, Physics, or a related quantitative field, or equivalent practical experience. - 3+ years of hands-on experience in image processing, computational photography, or computer vision. - Strong programming skills in Python and C++. - Deep understanding of classic image processing pipelines (ISP), color science, and optical principles. - Experience with computer vision libraries (e.g., OpenCV) and machine learning frameworks (e.g., PyTorch, TensorFlow). - Experience with version control systems (e.g., Git) and agile development methodologies. - Excellent problem-solving skills and a strong ability to debug complex, multi-component systems. - Strong verbal and written communication skills.

Preferred Qualifications - Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in image processing, computer vision, or computational photography. - 5+ years of industry experience developing image processing algorithms for capture devices (e.g., cameras, smartphones, scanners). - Experience working closely with hardware or electrical engineering teams on camera systems or sensor integration. - Strong understanding of 3D computer vision, photogrammetry, and/or multi-view geometry. - Experience applying deep learning techniques to image processing problems (e.g., denoising, super-resolution, learned ISP).

Irvine, CA

About the Role: Matterport is looking for a Senior Software Engineer to join our Platform Engineering team. You’ll be building features and services for the Matterport Platform, which acts as the glue and entry point for all other Matterport products and services. We handle billions of requests each month, so you must be familiar with building services at scale. The ideal candidate for this role will thrive in a fast-paced environment, be able to pivot when needed and have exceptional personal drive. You should be comfortable working in an API-heavy, microservices environment.

This position is located in Irvine, CA and offers a schedule of Monday to Thursday in the office and the option to work from home on Friday.

Responsibilities: - Designing, implementing and deploying new features and services - Build features and services using Kotlin, Python and front-end technologies - Build APIs, backend services and integrations that support our products - Work with relational and non-relational data stores - Work with a cross-functional team of product managers, designers, engineers and QA - Ensure proper monitoring and respond to issues with live environments - Be an advocate for good engineering practices - Contribute to a learning culture - Mentor and coach junior engineers to meet their full potential

Basic Qualifications: - Bachelor’s degree in Computer Science or related field from an accredited, not-for-profit, in-person college/university - 5+ years of experience developing SaaS solutions using modern OOP languages, such as Java and/or Server-side Kotlin - Experience with microservices such as Docker and Kubernetes - Experience with messaging frameworks, such as RabbitMQ and Kafka - Experience with relational databases such as MySQL or PostgreSQL - A solid track record of developing testable, maintainable, well-documented code - Track record of commitment to prior employers

Sunnyvale San Francisco

Description

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.

What You Will Do

• Algorithm Development: Develop algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
• System Design: Implement scalable ML systems, including management of upstream sensor dependencies.
• Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.
• Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

Basic Qualifications

1. 2+ years of working experience in the ML/Robotics industry.
2. Bachelor’s degree (or higher) in Computer Science, Computer Engineering, or related fields.
3. Proficient in Python and Linux environments.
4. Familiar with modern AI/ML frameworks (e.g., PyTorch).

Preferred Qualifications

• Experience in the Autonomous Driving domain.
• Proven track record of deploying ML models in safety-critical physical systems.
• Master’s or PhD degree in Computer Vision, Robotics, or Machine Learning.
• Familiarity with C++ and high-performance computing.

USA, California, Santa Clara

We are now looking for a Senior Research Scientist for Generative AI!

NVIDIA is searching for a world-class researcher in generative AI to join our research team. You will be conducting original research for generative AI applications, including image generation, video generation, 3D generation, and audio generation. You will be working with a team of world-class researchers eager to make great impacts with generative AI models. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing: - Conduct original research in the space of generative AI - Implement and train large-scale generative AI models for various content creation applications - Collaborate with other research team members, a diverse set of internal product teams, and external researchers - Have a broader impact through the transfer of the technology you've developed to relevant product groups

What we need to see: - Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience). - 5+ years of relevant research experience. - Excellent collaboration and interpersonal skills - Excellent python/C++ programming skills - Great knowledge of common deep-learning frameworks - Experience in processing or curating large-scale datasets - Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics - Track record of research excellence or significant product development

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous research scientist with a genuine passion for advancing the state of AI? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Locations: Toronto, ON

You will…

• Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
• Build reliable and scalable tools and frameworks to support Autonomous Vehicle (AV) development.
• Lead technical and architecture discussions, collaborating with Researchers and Engineers.
• Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
• Assist in task planning and estimation.

Qualifications:

• MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
• 5+ years of industry experience reading and developing production quality software..
• Experience using languages such as Python, Go, C++, or Rust.
• Experience working in a team environment on a common codebase.
• Ability to learn new technologies quickly.
• Open-minded and collaborative team player with willingness to help others.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

• Experience programming in C++ for a real world robotic system.
• Comfortable with Linux/other unix environments.
• Comfortable with Docker.
• Comfortable with git workflows.
• Experience in robotics or machine learning.
• Experience with automated testing.
• Experience working in an Agile/Scrum environment.
• Experience working with internal cross-functional partners/stakeholders when building software frameworks. -Experience in one or more of the following areas: application development, distributed systems, data storage and processing, parallel computing environments, emulation at scale, software performance, optimization, and profiling, concurrency and determinism, test-driven and API-driven development methodologies, system design/architecture, algorithms, data structure design, and low level threading. Front-end development and tools.

USA, California, Santa Clara

We are now looking for a Senior Research Scientist focused on Multimodal Foundation Models and Robotics! NVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our team’s most recent milestones includes Project GR00T, a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.

What you will be doing: - Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents; - Develop large-scale AI training and inference methods for foundation models; - Optimize and deploy AI models in physical simulation and on robot hardware; - Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.

What we need to see: - A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience. - 5 years of relevant work/research experience across one or both of these fields: Multimodal Foundation Models - Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers. - Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a big plus; - Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure. Robotics: - Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc. - Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch. - Deep understanding of robot kinematics, dynamics, and sensors; - Ability to safely operate robot hardware, lab equipment, and tools; - Knowledge of control methods, including PID, model predictive control, and whole-body control; - Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim; - Robot hardware design and hands-on building experience.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and embodied agents!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Locations: Remote US & Canada / Dallas, TX / Phoenix, AZ / Pittsburgh, PA / San Francisco, CA / Toronto, ON

You will...

• Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.

• Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.

• Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.

• Champion engineering excellence, ensuring high-quality, well structured and tested code.

• Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.

• Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.

• Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.

• Contribute to the publication of research findings in conferences as well as Waabi's blog.

Qualifications:

• MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.

• Experience working on applied research projects and shipping machine learning features/models into production.

• Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.

• Passion for taking research ideas and turning them into practical solutions for real-world applications.

• Solid understanding of computing fundamentals, including code efficiency.

• Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.

• Comfortable working with large datasets for machine learning applications.

• Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.

• Open-minded and collaborative team player with the willingness to help others.

• Experience and excitement in supporting a fast-paced high-growth environment.

• Passionate about being part of an organization solving self-driving technologies.

Bonus/nice to have:

• Previous experience in multimodal sensor fusion.

• Previous experience in self-driving technology or related fields.

• Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.

• Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.

• Proficiency in Pytorch, Rust, C++ and/or CUDA.

The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.