Engineering at Pinterest

Our Engineering team is at the core of bringing our platform to life for Pinners worldwide. Working collaboratively and cross-functionally with teams across the company, our engineers tackle growth-driving challenges to build an inspired and inclusive platform for all.

Our future of work is PinFlex

At Pinterest, we know that our best work happens when we feel most inspired. PinFlex promotes flexibility while prioritizing in-person moments to celebrate our culture and drive inspiration. We know that some work can be performed anywhere, and we encourage employees to work where they choose within their country or region, whether that’s at home, at a Pinterest office, or another virtual location. We believe that there is value in a distributed workforce but there are essential touch points for in-person collaboration that will create a big impact for our business and for development and connection.

Stop by booth #2100 to learn more about our open roles and our in-house generative AI foundation model that leverages the full power of our visual search and taste graph! Our engineers and recruiters are excited to connect with you!

You will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work with different research teams and squads across multiple areas led by our Director of Science, Prof. Vittorio Ferrari, and directly impact our solutions that are used worldwide by over 55,000 businesses.

If you have seen the full ML lifecycle from ideation through implementation, testing and release, and you have a passion for large data, large model training and building solutions with clean code, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe.

Location Multiple Locations

Description

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions. You will be part of world-renowned team of video compression experts. The team develops algorithms, hardware architectures, and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases. The successful candidate for this position will be a highly self-directed individual with strong creative and analytic skills and a passion for video compression technology. You will work on, but not be limited to, developing new applications of classical and machine learning methods in video compression improving state-of-the-art video codecs.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, preferred locations are USA, Germany and Taiwan.

Responsibilities: Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression. Initiate ideas, design and implement algorithms for superior hardware encoder performance, including perceptually based bit allocation. Develop new algorithms for deep learning-based video compression solutions. Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG. Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc. Ideal candidate would have the skills/experience below: Expert knowledge of the theory, algorithms, and techniques used in video and image coding. Knowledge and experience of video codecs and their test models, such as ECM, VVC, HEVC and AV1. Experience with deep learning structures CNN, RNN, autoencoder etc. and frameworks like TensorFlow/PyTorch. Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of video coding or video processing. Solid programming and debugging skills in C/C++. Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals. PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics or similar field, or equivalent practical experience.

Qualifications: PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields. 1+ years of experience with programming language such as C, C++, MATLAB, etc.

San Jose, CA

B GARAGE was founded in 2017 by a Ph.D. graduate from Stanford University. After having spent over five years researching robotics, computer vision, aeronautics, and drone autonomy, the founder and team set their minds on building a future where aerial robots would become an integral part of our daily lives without anyone necessarily piloting them. Together, our common goal is to redefine the user experience of drones and to expand the horizon for the use of drones.

Roles and Responsibilities

Design and develop perception for aerial robot and inventory recognition for warehouses by leveraging computer vision and deep learning techniques

Aid the computer vision team to deliver prototype and product in a timely manner

Collaborate with other teams within the company

Minimum Qualifications

M.S. degree in computer science, robotics, electrical engineering, or other engineering disciplines

10+ years of experience with computer vision and machine learning

Proficient in image processing algorithms and multiple view geometry using camera

Experience with machine learning architectures for object detection, segmentation, text recognition etc.

Proficient with ROS, C++, and Python

Experience with popular computer vision and GPU frameworks/libraries (e.g., OpenCV,TensorFlow, PyTorch, CUDA, cuDNN etc.)

Proficient in containerization technologies (Docker, Kubernetes) and container orchestration technologies

Experience in cloud computing platforms (AWS, GCP, etc.)

Experience with robots operating on real-time onboard processing

Self-motivated person who thrives in a fast-paced environment

Good problem solving and troubleshooting skills

Legally authorized to work in the United States

Optional Qualifications

Ph.D. degree in computer science, robotics, electrical engineering, or other engineering disciplines

Experience with scene reconstruction, bundle adjustment and factor graph optimization libraries

Experience with Javascript and massively parallel cloud computing technologies involving Kafka, Spark, MapReduce

Published research papers in CVPR, ICCV, ECCV, ICRA, IROS, etc.

Company Benefits

Competitive compensation packages

Medical, dental, vision, life insurance, and 401(k)

Flexible vacation and paid holidays

Complimentary lunches and snacks

Professional development reimbursement (online courses, conference, exhibit, etc.)

B GARAGE stands for an open and respectful corporate culture because we believe diversity helps us to find new perspectives.

B GARAGE ensures that all our members have equal opportunities – regardless of age, ethnic origin and nationality, gender and gender identity, physical and mental abilities, religion and belief, sexual orientation, and social background. We always ensure diversity right from the recruitment stage and therefore make hiring decisions based on a candidate’s actual competencies, qualifications, and business needs at the point of the time.

Location Seattle, WA

Description Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (images, videos) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), reinforced learning (RL), and image + video and audio synthesis. You will be part of a close-knit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields.

We are looking for talented Applied Scientists who are adept at a variety of skills, especially with computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge research to raise the bar within the team.

Seattle, WA or Costa Mesa, CA

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The Vehicle Autonomy (Robotics) team at Anduril develops aerial and ground-based robotic systems. The team is responsible for taking products like Ghost, Anvil, and our Sentry Tower from paper sketches to operational systems. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful robotics stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

WHAT YOU'LL DO -Write and maintain core libraries (frame transformations, targeting and guidance, etc.) that all robotics platforms at Anduril will use -Own feature development and rollout for our products - recent examples include: building a Software-in-the-Loop simulator for our Tower product, writing an autofocus control system for cameras, creating a distributed over IPC coordinate frame library, redesigning the Pan-Tilt controls to accurately move heavy loads -Design, evaluate, and implement sensor integrations that support operation by both human and autonomous planning agents -Work closely with our hardware and manufacturing teams during product development, providing quick feedback that contributes to the final hardware design

REQUIRED QUALIFICATIONS -Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics -5+ years of C++ or Rust experience in a Linux development environment -Experience building software solutions involving significant amounts of data processing and analysis -Ability to quickly understand and navigate complex systems and established code bases -Must be eligible to obtain and hold a US DoD Security Clearance.

PREFERRED QUALIFICATIONS -Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics. -Understanding of systems software (kernel, device drivers, system calls) and performance analysis

Natick, MA, United States

The Company: Cognex is a global leader in the exciting and growing field of machine vision. This position is a hybrid role in our Natick, MA corporate HQ.

The Team: This position is for an experienced Software Engineer in the Core Vision Technology team at Cognex, focused on architecting and productizing the best-in-class computer vision algorithms and AI models that power Cognex’s industrial barcode readers and 2D vision tools with a mission to innovate on behalf of customers and make this technology accessible to a broad range of users and platforms. Our products combine custom hardware, specialized lighting and optics, and world-class vision algorithms/models to create embedded systems that can find and read high-density symbols on package labels or marked directly on a variety of industrial parts, including aircraft engines, electronics substrates, and pharmaceutical test equipment. Our devices need to read hundreds of codes per second, so speed-optimized hardware and software work together to create best in class technology. Companies around the world rely on Cognex vision tools and technology to guide assembly, automate inspection, and speed up production and distribution.

Job Summary: The Core Vision Technology team is seeking an experienced developer with deep knowledge of the software development life cycle, creative problem solving skills and solid design thinking, with a focus on productization of AI technology on embedded platforms. You will play the critical role of ** a chief architect **, who will lead the development and productization of computer vision AI models and algorithms on multiple Cognex products; with the goal of making the technology modular and available to a broad range of users and platforms. In this role, you will interface with machine vision experts in R&D, product, hardware, and other software engineering teams at Cognex. A successful individual will lead design discussions, make sound architectural choices for the future on different embedded platforms, advocate for engineering excellence, mentor junior engineers and extend technical influence across teams. Prior experience with productization of AI technology is essential for this position.

Essential Functions: -Develop and productize innovative vision algorithms, including AI models developed by the R&D team for detecting and reading challenging 1D and 2D barcodes, and vision tools for gauging, inspection, guiding, and identifying industrial parts. -Lead software and API design discussions and make scalable technology choices meeting current and future business needs.
-More details in the link below

Minimum education and work experience required: MS or PhD from a top engineering school in EE, CS or equivalent 7+ years relevant, high tech work experience

If you would like to meet the hiring manager at CVPR to discuss this opportunity, please email ahmed.elbarkouky@cognex.com

Captions is the AI-powered creative studio. Millions of creators around the world have used Captions to make their video content stand out from the pack and we're on a mission to empower the next billion.

Based in NYC, we are a team of ambitious, experienced, and devoted engineers, designers, and marketers. You'll be joining an early team where you'll have an outsized impact on both the product and company's culture.

We’re very fortunate to have some the best investors and entrepreneurs backing us, including Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, Lenny Rachitsky, and more.

Check out our latest milestone and our recent feature on the TODAY show and the New York Times.

** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) **

Responsibilities:

Conduct research and develop models to advance the state-of-the-art in generative computer vision technologies, with a focus on creating highly realistic digital faces, bodies, avatars.

Strive to set new standards in the realism of 3D digital human appearance, movement, and personality, ensuring that generated content closely resembles real-life scenarios.

Implement techniques to achieve high-quality results in zero-shot or few-shot settings, as well as customized avatars for different use cases while maintaining speed and accuracy.

Develop innovative solutions to enable comprehensive customization of video content, including the creation of digital people, modifying scenes, and manipulating actions and speech within videos.

Preferred Qualifications:

PhD in computer science (or related field) and/ or 5+ years of industry experience.

Strong academic background with a focus on computer vision and transformers, specializing in NeRFs, Gaussian Splatting, Diffusion, GANs or related areas.

Publication Record: Highly relevant publication history, with a focus on generating or manipulating realistic digital faces, bodies, expressions, body movements, etc. Ideal candidates will have served as the primary author on these publications.

Expertise in Deep Learning: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, with hands-on experience in designing, training, and deploying neural networks for multimodal tasks.

Strong understanding of Computer Science fundamentals (algorithms and data structures).

Benefits: Comprehensive medical, dental, and vision plans

Anything you need to do your best work

We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, Upstate NY, and Nashville with more planned in the future.

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please note benefits apply to full time employees only.

Location Palo Alto, CA

Description Amazon is looking for talented Postdoctoral Scientists to join our Stores Foundational AI team for a one-year, full-time research position.

The Stores Foundational AI team builds foundation models for multiple Amazon entities, such as ASIN, customer, seller and brand. These foundation models are used in downstream applications by various partner teams in Stores. Our team also invest in building foundation model for image generation, optimized for product image generation. We leverage the latest development to create our solutions and innovate to push state of the art.

The Postdoc is expected to conduct research and build state-of-the-art algorithms in video understanding and representation learning in the era of LLMs. Specifically, Designing efficient algorithms to learn accurate representations for videos. Building extensive video understanding capabilities including various content classification tasks. Designing algorithms that can generate high-quality videos from set of product images. Improve the quality of our foundation models along the following dimensions: robustness, interpretability, fairness, sustainability, and privacy.

We are looking for a Research Engineer, with passion for working on cutting edge problems that can help us create highly realistic, emotional and life-like synthetic humans through text-to-video.

Our aim is to make video content creation available for all - not only to studio production!

🧑🏼‍🔬 You will be someone who loves to code and build working systems. You are used to working in a fast-paced start-up environment. You will have experience with the software development life cycle, from ideation through implementation, to testing and release. You will also have extensive knowledge and experience in Computer Vision domain. You will also have experience within Generative AI space (GANs, Diffusion models and the like!).

👩‍💼 You will join a group of more than 50 Engineers in the R&D department and will have the opportunity to collaborate with multiple research teams across diverse areas, our R&D research is guided by our co-founders - Prof. Lourdes Agapito and Prof. Matthias Niessner and director of Science Prof. Vittorio Ferrari.

If you know and love DALL.E, MUSE, IMAGEN, MAKE-A-VIDEO, STABLE DIFFUSION and more - and you love large data, large compute and writing clean code, then we would love to talk to you.

Redmond, Washington, United States

Overview Are you interested in developing and optimizing deep learning systems? Are you interested in designing novel technology to accelerate their training and serving for cutting edge models and applications? Do you want to scale large Artificial Intelligence models to their limits on massive supercomputers? Are you interested in being part of an exciting open-source library for deep learning systems? The DeepSpeed team is hiring!

Microsoft's DeepSpeed is an open-source library built on the PyTorch (machine learning framework) ecosystem that combines numerous research innovations and technology advancements to make deep learning efficient and easier to use. DeepSpeed can parallelize across thousands of GPUs and train models with trillions of parameters. Our OSS (Open Source Software) has powered many advanced models like MT-530B and BLOOM, and it supports unprecedented scale and speed for both training and inference.

The DeepSpeed team is also part of the larger Microsoft AI at Scale initiative, which is pioneering the next-generation AI capabilities that are scaled across the company’s products and AI platforms.

The DeepSpeed team is looking for a Senior Researcher in Redmond, WA with passion for innovations and for building high-quality systems that will make significant impact inside and outside of Microsoft. Our team is highly collaborative, innovative, and end-user obsessed. We are looking for candidates with systems skills and passionate about driving innovations to improve the efficiency and effectiveness of deep learning systems. We value creativity, agility, accountability, and a desire to learn new technologies.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities Excels in one or more subareas and gains expertise in a broad area of research. Identifies and articulates problems in an area of research that are academically novel and may directly or indirectly impact business opportunities. Collaborates with other relevant researchers or research groups to contribute to or advance a research agenda. Researches and develops an understanding of the state-of-the-art insights, tools, technologies, or methods being used in the research community. Expands collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to them.

The Prediction & Behavior ML team is responsible for developing machine-learned models that understand the full scene around our vehicle and forecast the behavior for other agents, our own vehicle’s actions, and for offline applications. To solve these problems we develop deep learning algorithms that can learn behaviors from data and apply them on-vehicle to influence our vehicle’s driving behavior and offline to provide learned models to autonomy simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team necessarily works very closely with the Planner team in the advancement of our overall vehicle behavior. The Prediction & Behavior ML team also works closely with our Perception, Simulation, and Systems Engineering teams on many cross-team initiatives.

Vancouver, British Columbia, Canada

Overview Microsoft Research (MSR), a leading industrial research laboratory comprised of over 1,000 computer scientists working across the United States, United Kingdom, China, India, Canada, and the Netherlands.

We are currently seeking  a Researcher in the area of  Artificial Specialized Intelligence located in Vancouver, British Columbia, with a keen interest in developing cutting-edge large foundation models and post-training techniques for different domains and scenarios. This is an opportunity to drive an ambitious research agenda while collaborating with diverse teams to push for novel applications of those areas.  
  Over the past 30 years, our scientists have not only conducted world-class computer science research but also integrated advanced technologies into our products and services, positively impacting millions of lives and propelling Microsoft to the forefront of digital transformation.   Responsibilities Conduct cutting-edge research in large foundation models, focusing on applying large foundation models in specific domain. Collaborate with cross-functional teams to integrate solutions into Artificial Intelligence (AI) -driven system. Develop and maintain research prototypes and software tools, ensuring that they are well-documented and adhere to best practices in software development. Publish research findings in top-tier conferences and journals and present your work at industry events. Collaborate with other AI researchers and engineers, sharing knowledge and expertise to foster a culture of innovation and continuous learning within the team.

Location Madrid, ESP

Description At Amazon, we are committed to being the Earth’s most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon’s cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.

You will be joining the Tools and Machine learning (Tamale) team. As part of InTech, Tamale strives to solve complex catalog quality problems using challenging machine learning and data analysis solutions. You will be exposed to cutting edge big data and machine learning technologies, along to all Amazon catalog technology stack, and you'll be part of a key effort to improve our customers experience by tackling and preventing defects in items in Amazon's catalog.

We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers.