Fulltime Computer Vision Engineer openings in Seattle, United States on September 22, 2022

Software Engineer, Computer Vision at Meta

Location: Seattle

Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer, Computer Vision Responsibilities:
• Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta’s products and experiences
• Assist in goal setting related to project impact, AI system design, and ML excellence
• Drive large efforts across multiple teams
• Mentor other AI Engineers & improve the quality of AI work in the broader team
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Minimum Qualifications:
• Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
Preferred Qualifications:
• Experience with distributed systems or on-device algorithm development
• Experience in deep learning and PyTorch
• Experience contributing to AI Publications
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .
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Software Engineer – Computer Vision at Meta

Location: Seattle

Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer, Computer Vision Responsibilities:
• Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta’s products and experiences
• Assist in goal setting related to project impact, AI system design, and ML excellence
• Drive large efforts across multiple teams
• Mentor other AI Engineers & improve the quality of AI work in the broader team
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Minimum Qualifications:
• Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience developing computer vision algorithms or computer vision infrastructure in C/C+ or Python
Preferred Qualifications:
• Experience with distributed systems or on-device algorithm development
• Experience in deep learning and PyTorch
• Experience contributing to AI Publications
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at (see below)
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Principal Machine Learning Engineer – Deep Learning at Lawrence Harvey

Location: Seattle

Who they are..

Seattle based medtech company who are leverage AI in digital surgery. They’ve created a sight platform that is utilizing computer vision, AR/VR and robotics to improve clinical outcomes

This is a key ML hire for their R&D team who are responsible for the development of the 3D vision platform. As lead ML Engineer, you will spearhead the design and building on deep learning models, developing algorithms in segmentation and registration for their surgical navigation product

Responsibilities:
• design build and train deep learning models for medical image analysis
• lead projects and team on all ML related activities (team of three)
• Research, design and implementing advanced image analysis techniques using computer vision
• Work with other groups from across the company to deliver the highest level of technology to customers
• Perform segmentation & registration tasks for surgical navigation

WHAT WE’RE LOOKING FOR:
• More than 5 years industry experience working on solving medical imaging problems
• Hands on deep learning experience (pytorch, tensorflow)
• M.S or PhD in C.S, E.E, Biomedical or a related field
• Familiarity with FDA approval process, history of previous algorithms being approved
• Experience in one or more areas: segmentation, image reconstruction registration or strong computer vision skills
• Hands on coding in Python

IMPRESS US MORE:
• Strong development in C++ and using OpenCV
• Experience with high performance parallel processing on the GPU

Role: Principal ML Engineer- Deep Learning

Location: Hybrid out of Seattle, WA or remote

If this sounds like the kind of role you would like to hear more about, follow the link and apply!

keywords: computer vision, medical imaging, algorithm development, deep learning, pytorch, segmentation, reconstruction, surgical robotics, surgical navigation, research, prototype
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Senior Science Manager, Computer Vision, Amazon One at Amazon.com Services LLC

Location: Seattle

• Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics.
• 10+ years of experience in AI and CV in industry and/or academia.
• 3+ years of experience recruiting and managing PhD level Scientists, Researchers and Engineers from industry and/or academia.
• Strong skills in programming languages such as C/C++ and Python and commercializing computer vision, machine learning, or deep learning solutions
• Proven research science publication background with a track record of thought leadership and contributions that have advanced the field
• Strong record of delivery in industry and academic contexts, ability to handle multiple competing priorities in a fast-paced environment.
• Excellent written and verbal communication skills.

Job summary

The Team: Amazon One is a fast, convenient, contactless way for people to use their palm to make everyday activities like paying at a store, presenting a loyalty card, entering a location like a stadium, or badging into work more effortless. The service is designed to be highly secure and uses custom-built algorithms and hardware to create a person’s unique palm signature. Designed and custom-built by Amazonians, it uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.

If you have expertise leading AI and Computer Vision research initiatives and have a M.S/Ph.D, and 10+ years of industry experience and have:
• the ability to recognize and champion new ideas and novel solutions;
• the insight to correctly identify paths worth exploring;
• the discipline to fast-fail when data refutes theory;
• and the fortitude to continue exploring until your solution is found

come join us invent the future and change the world.

You will be responsible for building and managing a team of scientists and developers who are experienced in taking an idea to reality – from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the product your team is building.
• Experience in working with edge-based computer vision/deep learning algorithms
• Experience managing software development engineers and scientists
• Experience optimizing for short term execution while planning for long term technical capabilities. Ability and willingness to multi-task and learn new technologies quickly.
• Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
• Solid software development experience
• Excellent written and spoken communication skills

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Computer Vision Engineer for Clobotics Retail at Clobotics in Seattle, WA at Clobotics

Location: Seattle

Responsibilities Use statistics, machine learning, and datamining techniques to create scalable solutions for business and industry problems. Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes. Design, experiment and evaluate highly innovative models for predictive learning. Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Track general business activity and provide clear, compelling management reporting on a regular basis. Research and implement novel machine learning and statistical approaches. Basic Skills A MS in Statistics, Computer Science, Machine Learning, or in a highly quantitative field 1
years of hands-on experience in predictive modeling and big data analysis Strong skills in Python/R/Matlab Strong communication and data presentation skills Strong problem-solving skills Preferred Qualifications 3
years of industry experience in predictive modeling, machine learning and big data analysis Familiarity with deep learning 1
year cloud programming experience, for example on AWS or Azure.
Salary Range:
$80K — $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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Computer Vision Scientist at Clobotics in Seattle, WA at Clobotics

Location: Seattle

Description Reporting into the company CTO (Chief Technology Officer), the Computer Vision Scientist role is the cornerstone of Clobotics retail technology. We are looking for a hands-on candidate who loves to roll up the sleeves to code; who has an acute sense of technology trends; who can architect, build, design, test and operate the core algorithm at the company level; who is well connected in the community industry; who can lead, manage, and influence by example. This role is expected to support our customers in North America and South America, it may require some customer-facing meetings and working with our engineering organization in the US. It may also require the interaction with our CV team in Asia, so a flexible time schedule for work is a must have. The Clobotics culture is built on the values of being curious, positive and having grit. Major responsibilities Research, design, implement and optimize algorithms related to computer vision and machine learning on embedded or server platforms. Collaborate with team members across different specializations. Define metrics for system/algorithm performance. Stay up to date with state-of-the-art research and industry progress. Document and organize algorithm design and implementation decisions. Communicate regularly with team about research advances, algorithm design, etc. Qualifications Experience in both traditional computer vision and deep learning. Candidates who only have deep learning experience are not qualified. Fluent in Python or C/C+
(programming and debugging) Experience working with TensorFlow, PyTorch, Keras, OpenCV. Strong written and verbal communications skills. Knowledge of English is strongly preferred. BA/BS degree in computer science or equivalent. MS or PhD in related field strongly preferred. 4
years of experience with computer vision and machine learning.
Salary Range:
$80K — $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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Manager, Computer Vision ML at Meta (Facebook)

Location: Seattle

Our team researches, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future AR/VR products. We are focused on developing new technologies from early concept to product while iterating, prototyping, and realizing the research and product impact they open up.
As a Manager you will lead, manage, and inspire applied research teams developing next-generation of efficient deep neural architectures for various problems. As a hands-on leader, you’ll help the team fulfill technical, operational, and business requirements. You’ll guide architecture and delivery of software products. The ideal candidate will have a passion for solving complex research challenges while delivering great consumer software products focused on incredible customer experiences.
• Help build and lead great applied research teams to deliver world-class research and products.
• Drive an excellent collaboration, continually raising the bar on efficiency.
• Champion engineering and operational excellence, establishing metrics and process for regular assessment and improvement.
• Establish a solid project framework and excellent development processes.
• Provide technical leadership and guidance to both your team members and your project peers.
• Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
• Communicate and collaborate effectively with global hardware and software engineering teams.
• Operate strategically and tactically.
• Work on strategy and help set direction while delivering state-of-the-art algorithms.
• Doctor of Philosophy (Ph.D.) in Computer Science.
• 5+ years of experience research, development, and shipping of software products and/or services.
• 4+ years of experience managing cross-functional engineering teams.
• Publications in top conferences on computer vision such as CVPR and ICCV.
• Research background in Computer Vision – deep learning for Computer Vision, object detection, classification, 3D reconstruction.
• Experience thriving in a dynamic environment where goals and requirements may be changing.

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Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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Engineer machine vision at Amazon

Location: Seattle

Job summary

We’re building an entirely new retail experience with no lines and no checkout. Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart.

In addition to Just Walk Out technology, we are creating a variety of other exciting customer experiences through inventions like Amazon One and Amazon Dash Cart.

These products use a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earth’s most customer centric company, and we are just getting started.

We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

The Role :

You will serve as the technical lead for embedded systems through the entire product life cycle, from inception and roadmap through design and into mass-production support.

Design and implement robust digital designs for various embedded devices. Perform board bring-up, testing and troubleshooting.

Contribute to the IoT firmware architecture by writing, debugging, and delivering production grade firmware. Conceive, document, and execute comprehensive design validation tests on new designs.

As a member of our team you will partner with vendors to deliver new components to the required specification and schedule.

Function as a subject matter member on a variety of technologies by providing up-to-date, accurate information to colleagues and management.

Last updated : 2022-09-22
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Computer Vision Data Scientist – Hiring Immediately at Apple

Location: Seattle

Summary Posted: Sep 27, 2021
Role Number:200292867

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.

Key Qualifications
• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures / architectures
• Proficiency in at least one major machine learning framework such as Tensorflow
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills

Description
We work on complex problems in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.

Education & Experience
MS in Engineering, Applied Mathematics, Data Science, Computer Science or equivalent field, with 3 years industry experience, a PhD degree or equivalent industry experience.

Additional Requirements
• Desired Qualifications:
• Familiarity with auto-encoders
• Good understanding and applied experience in classic 2D image processing and segmentation including:
• Robust semantic object detection under different lighting conditions
• Segmentation of non-rigid contours in challenging/low contrast scenarios
• Sub-pixel accurate refinement of contours and features
• Experience in image quality assessment
• Experience with in depth failure analysis of algorithms
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AI/ML – Machine Learning Research Engineer, Siri Understanding at Apple

Location: Seattle

Summary Posted: Mar 19, 2022 Role Number:200358547 “Hey Siri, let’s work together at Apple” The Siri Understanding team is looking for Machine Learning Engineers passionate about enabling personalized Siri interactions and delivering such technology to users on a global scale. Build end-to-end model training and evaluation pipelines. Push the envelope on the latest research developments in speech invocation and speaker recognition. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done — just by saying ‘Hey Siri.’ Key Qualifications
• Strong background in machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus
• Solid foundation in machine learning fundamentals, such as classification, feature engineering, clustering, semi-supervised learning, and domain adaptation
• Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally
• Strong attention to detail, along with the analytical skills and the willingness to dive into data to explain anomalies and conduct error/deviation analyses
• Outstanding problem solving, critical thinking, creativity, and interpersonal skills; ability to communicate effectively with engineers, scientists, managers, and cross-functional partners
Description You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is only half the story In Siri Understanding, we own our products and user experiences end-to-end. We measure the impact of our deployed models not just on offline test sets, but also on production traffic. We optimize error rates on existing data. We also define new metrics and apply them to the data that best represents the next feature we ship. And we are sometimes constrained by the limits of on-device computation — that is where your ability to innovate will be most impactful. You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. If you are passionate about building outstanding products and using the full spectrum of your skills to extend the core technology that lets Siri understand, personalize, and interact in new and exciting ways, then we cannot wait to hear from you. Education & Experience Ph. D. in a Machine Learning or related field, or M.S. with 3+ experience in Machine Learning Additional Requirements
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