Fulltime Computer Vision Engineer openings in Seattle, United States on September 23, 2022

Computer Vision Engineer – Remote at Jobot

Location: Seattle

Remote, CV focused Product, Great Culture

This Jobot Job is hosted by Dylan Currier

Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.

Salary $155,000 – $180,000 per year

A Bit About Us

We are a startup within an enterpise business and have huge growth plans! Our product relies on Computer Vision to make it easier for customers to choose between different product offerings. We are headquartered in the Bay Area but have engineers throughout the country! With a remote-first culture, we strongly believe in collobaration via Microsoft Teams.

Our software is used daily by millions of customers globally and we are still gaining new customers, we have exciting plans for the future!

Why join us?

We have an interesting set of problems to solve, laid back culture, and strongly believe in promoting from within. We understand that everyone has a life outside of work and strongly value work life balance. We are a remote first organization and have a distributed team across the United States.

Perks
• 401k Match
• Medical, Dental, Vision
• Equity
• Competive base salary

Job Details

What you will do
• Work cross functionally to build out our AR platform
• Work with different datasets and key metrics
• Solve problems with real world data

We are looking for someone with the following skills
• 3+ years of experience
• Expertise in CV
• Experience with PyTorch
• Experience with Tensorflow

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
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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
• Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes
• Effectively define projects for other engineers to possibly solve and achieve impact based on your direction
• Develop novel, accurate AI algorithms and advanced systems for large scale applications
• Understand why some signals and model configurations work while others don’t and be able to drive more gain from these findings
• Define use cases and develop methodology and benchmarks to evaluate different approaches

MINIMUM QUALIFICATIONS:
• 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
• Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence

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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Senior Science Manager, Computer Vision, Amazon One at Amazon.com

Location: Seattle

Job summaryThe 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 foundcome 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.Basic QualificationsGraduate 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 solutionsProven research science publication background with a track record of thought leadership and contributions that have advanced the fieldStrong 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.Preferred QualificationsExperience in working with edge-based computer vision/deep learning algorithmsExperience managing software development engineers and scientistsExperience 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 fieldSolid software development experienceExcellent written and spoken communication skillsAmazon 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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Senior Computer Vision Engineer at iUNU

Location: Seattle

Do you want to work with a fast-growing technology startup focused on applying Computer Vision to solving problems in commercial agriculture? Do you want to work with robots and the latest in computer vision and machine learning technology on a daily basis? Do you dream in K-Means and view everything through a Kalman filter?Headquartered in Seattle, we are seeking an energetic, team-oriented and responsible individual to fill a full-time Computer Vision Engineer position as part of our software engineering team.
You will primarily be focused on implementing Image Processing techniques to develop and train models to support our plant based analytics.IUNU’s core values revolve around grit, innovation, and doing the right thing.
IUNU’s flat organizational structure lends itself to the person willing to speak their mind, and challenge the status quo in order to fulfill the ultimate mission of delivering the best solutions possible to our grower customers.
Job Brief As a Computer Vision Engineer, you will be responsible for direct contributions and maintenance of our existing Computer Vision pipelines that utilizes portable, scalable, reusable, and measurable algorithms and analytics, while inspiring and mentoring their teammates to ensure excellence in a fast paced dynamic Agile startup environment.The ideal candidates will be able to bring a Data Science and Machine Learning mindset to our development team through CI/CD best practices, and be a model of the high standards of quality code that others strive to learn from and measure up to.
The successful candidates will possess drive and ability to self start within a start-up company environment, where challenges are common and clarity of communication is critical.
You bring additional expertise in utilizing Classic Computer Vision, or Deep Learning to analyze imagery, but ideally can do both.
Responsibilities Contributing to a one of a kind software that visualizes and delivers a state-of-the-art service aimed at changing the way growers and farmers look at and manage their crops.
Delivering solutions that integrate the fields of robotics, computer vision, data science, big data and enterprise SAAS applied to agriculture.
Closely work with Product Development and Product Owners to efficiently size, groom and prioritize user stories in an Agile Scrum environment.
Participate in code reviews, Computer Vision Pipeline architecture discussions, while delivering models that efficiently scales with our customers and evolving needs.
Ensuring quality software through appropriate testing coverage, measurable performance metrics, and quality releases through continuous deployment.
Troubleshoot, triage, and fix production issues or bugs rapidly with skill and grace.Requirements 3 years experience in production Computer Vision development.
Documented track record of delivering reliable, and scalable Computer Vision models in a CI/CD environment Demonstrated knowledge in Computer Vision techniques and processes.
Experience with OpenCV (Python and/or C+) Experience with a deep learning framework such as Pytorch, TensorFlow, Caffe, or Theano a plus Experience with Docker, Kubernetes, Cloud, and Hybrid computing solutions a plus Strong critical thinking, problem solving, and communication skills BS Degree or equivalent experienceBenefits Competitive salary equity Unlimited PTO Medical/dental/vision 401kDiversity We want you to grow with us Regardless of what kind of background you bring with you, we encourage you to apply if this is a role that interests and excites you.
At IUNU, we’re committed to doing our very best to cultivate an inclusive environment.
We want you to feel comfortable bringing your whole self to work with you Diversity is important to us, so all applicants will be considered without regard to sex, gender identity, gender expression, sexual orientation, race, color, religion, national origin, disability, medical condition, Veteran status, age, or any other characteristic protected by applicable law.
IUNU is an Equal Opportunity Employer
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For Remote Senior Computer Vision Engineer roles, visit Remote Senior Computer Vision Engineer Roles

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AR/VR Software Engineer – Technology Development Group (TDG) at Apple Inc.

Location: Seattle

The Technology Development Group (TDG) is looking for help to drive breakthrough developments in machine learning and computer vision problems. We are on the lookout for people who are experienced in working on shipping products to help power future revolutionary Apple devices. Now is a great opportunity for you to get into computer vision using state of the art techniques, demonstrating your knowledge profiling performance and optimizing applications in the Apple ecosystem. Your role will be as a driven and dedicated applied algorithms engineer with a technical skillset in computer graphics and/or vision. Come help with hands-on work in a small innovative team and be part of building the next big thing.

Key Qualifications
• Passionate about Augmented Reality
• Passionate about working with hardware architectures
• Great interest or background in Computer Vision and/or Machine Learning
• Solid fundamentals in Linear Algebra
• Strong proficiency in C/C++
• Performance and optimization oriented
• Self-motivated and great teammate

Description

TDG is the group that is responsible for many of the key algorithms in ARKit and beyond. We are looking for versatile engineers who are passionate about building products for millions of customers around the world. You’ll be working on cutting-edge technology and develop algorithms that enable a high-quality user experience across a range of tentpole use cases and applications. As a part of our team, you will closely collaborate with HW engineers (cameras, silicon, electrical engineering, product design) and other technology development software teams (computer graphics, video engineering, data generation/annotation, drivers/OS). You can make a difference by researching and prototyping novel deformable object tracking algorithms beyond the state of the art and/or by optimizing the performance of real-time algorithms running on Apple silicon.

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants

Education & Experience

M.Sc. or B.Sc. degree in Computer Science or similar, alternatively a comparable industry career with a consistent track record of successful projects.
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For Remote AR/VR Software Engineer – Technology Development Group (TDG) roles, visit Remote AR/VR Software Engineer – Technology Development Group (TDG) Roles

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Data Scientist 2 – Computer Vision at Pacific Northwest National Laboratory

Location: Seattle

Overview

PNNL is combining profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges.

Working in multidisciplinary teams, PNNL connects research and engineering to operations, providing the tools necessary to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management, to analysis and decision support.

Responsibilities

For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment, and national security. PNNL’s Computing and Analytics Division, part of the National Security Directorate, is committed to advancing the state of the art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors’ missions. Be a thought and technical leader supporting the development and advancement of computer vision research and capabilities.

This position requires interactions with government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.

Minimum Qualifications

Qualifications
• BS/BA with 2 years of experience
• MS/MA with 0-2 years of experience
• PhD with 0 years of experience

Preferred Skillsets
• Experience training machine learning models in frameworks like PyTorch
• Experience applying machine learning and artificial intelligence to computer vision. Additional domain application experience is preferred – geospatial intelligence, natural language processing vision, few-shot learning, adversarial machine learning, social computing, etc.
• 1+ years of experience with computer vision
• 2+ years in machine learning or applied science/research in academia or industry
• 2+ years of experience with general purpose programming language (Python, Scala, Java, C, C++, etc.)

Hazardous Working Conditions/Environment

Not Applicable

Additional Information

This position requires the ability to obtain and maintain a federal security clearance.

Requirements
• U.S. Citizenship
• Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
• Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).

Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.

Testing Designated Position

This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

Mandatory Requirements

Battelle requires employees to have a COVID-19 vaccine as a condition of employment, subject to accommodation. Applicants are required to disclose their vaccination status following a conditional offer of employment and must attest to being fully vaccinated with a Center for Disease Control (CDC)-approved COVID-19 vaccination, or provide documentation of need for medical or religious exemption from the COVID-19 vaccination requirement.

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
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Applied Scientist – Computer Vision – Artly Bot at Artly Coffee

Location: Seattle

About Us:

The Artly perception team equips Artly Bots with human-level perception, touch, hearing, vision, smell, and taste. The team designs, builds, and continuously improves the perception system for Artly’s dexterous robots for them to carry out human daily manual tasks. The team joins the disciplines of machine learning, cloud computing, and electrical/mechanical engineering in a highly collaborative environment. Our deep learning research scientists and engineers develop and own software and sensor hardware stack from inception to deployment.

Our customers expect to experience a high level of innovation and functionality in our robots, which demand intense creativity, strict science and engineering rigor using first principle reasoning, and passion for pushing the boundaries of technology. Working closely with the software, hardware, cloud, product team, store operation team, and engaging our customers, the Artly perception team enables world-class AI and robotics technologies in everyone’s daily lives, in offices, restaurants, hotels, shopping malls, and homes.

You will work alongside exceptionally motivated engineers and scientists in a fast and rapidly changing environment. You must be determined to make your perception systems successful and excited to build the world’s most intelligent and humane robots.

Responsibilities:

As an Applied Scientist, your responsibilities include: – Derive deep learning-based formulations of daily human perception tasks. – Design, train, and test deep learning-based algorithms. – Create and oversee the processes to gather training data. – Work with robotics and hardware teams to design and build prototype sensing rigs for Artly bots. – Define manufacturing and maintenance procedures of the sensing rigs for Artly bots.

Minimum Qualifications:

– Master in Computer Vision, Machine Learning or related fields – Two years of industry experience in computer vision-related field – Publications in top Computer Vision conferences.

– Experience with real-world system building and data collection, including design, coding (C++), and evaluation (C++/Python) Preferred

Qualifications:

– Ph.

D. in Computer Vision or related fields – Five years of industry experience in Computer Vision or related field – Experience in Object Detection, Pose Estimation, 3D Computer Vision, and Deep Learning Frameworks

– Experience with Robot Manipulators

– Experience with Simulation Software – Publications in Conferences such as CVPR, ECCV, ICCV, NeurIPS We are an equal opportunity company and support H1B and Green Card.
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Senior Staff Software Engineer (Perception – Computer Vision/Machine Learning) at Aurora

Location: Seattle

Who We Are

Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly. Founded in 2017 by experts in the self-driving industry, Aurora is revolutionizing transportation – making it safer, increasingly accessible, and more reliable and efficient than ever before. Its flagship product, the Aurora Driver, is a platform that brings together software, hardware, and data services, to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is partnered with industry leaders across the transportation ecosystem including Toyota, Volvo, PACCAR, Uber, Uber Freight, FedEx, and U.S. Xpress. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Texas and has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Detroit, MI. To learn more, visit www.aurora.tech.

Aurora hires people who are excited to build the future of transportation. We are looking for machine learning experts to develop and implement the core algorithms for interpreting sensor data that enables intelligent driving decisions. You will be developing and applying learning-based algorithms related to sequential prediction, recursive state estimation, and classification for object detection and tracking.

In This Role, You Will Do The Following
• Collaborate with other members of the Perception autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver
• Serve as a technical expert for the team on at least one area related to machine learning, with particular focus on computer vision, recursive state estimation, structured prediction, optimization, and others
• Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios (e.g., on highways and city streets, long-range and multi-sensor object detection, detection under degraded sensors, etc.).
• Design, prototype and evaluate machine learning algorithms and DNN architectures for detection of traffic actors, their action recognition, and semantic understanding of various traffic scenes that the Aurora Driver encounters.
• Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver.

Required Qualifications
• Excellent software engineering skills in Python and/or C++
• Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow
• Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record)

Desirable Qualifications
• Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or robotics projects)
• Contributions to open source project(s)
• Strong track record in any field related to machine learning, as evidenced by top-tier publications
• Examples of relevant fields and conferences: computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG)

#MG-1

#Mid-Senior

Working at Aurora

At Aurora, we bring together people with extraordinary talent and experience united by the strength of our values. We operate with integrity, set outrageous goals, and continue to build a culture where we win together—all without any jerks.

We have offices in 8+ locations across the United States. We offer a competitive benefits package to qualifying employees. Our Career Page includes everything you need to know about working at Aurora.

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

We believe that self-driving technology has broad benefits – including an increase in safety and access to transportation – and to achieve those benefits, we want and need a workforce with diverse experiences, insights, and perspectives; said another way, a workforce that reflects the communities and people our technology will benefit. You can find all the latest news on our Blog

Individuals seeking employment at Aurora are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law.
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For Remote Senior Staff Software Engineer (Perception – Computer Vision/Machine Learning) roles, visit Remote Senior Staff Software Engineer (Perception – Computer Vision/Machine Learning) Roles

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Senior Data Scientist 4 – Computer Vision at Pacific Northwest National Laboratory

Location: Seattle

Overview

PNNL is combining profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges.

Working in multidisciplinary teams, PNNL connects research and engineering to operations, providing the tools necessary to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management, to analysis and decision support.

Responsibilities

For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment, and national security. PNNL’s Computing and Analytics Division, part of the National Security Directorate, is committed to advancing the state of the art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors’ missions. Be a thought and technical leader supporting the development and advancement of computer vision research and capabilities.

This position requires interactions with government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.

Minimum Qualifications

Qualifications
• BS/BA with 7 years of experience
• MS/MA with 5 years of experience
• PhD with 3 years of experience

Preferred Qualifications
• Experience developing, training, and testing machine learning models in frameworks like PyTorch
• Experience applying machine learning and artificial intelligence to computer vision. Additional domain application experience is preferred – geospatial intelligence, natural language processing vision, few-shot learning, adversarial machine learning, social computing, etc.
• Ability to contribute knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery (e.g., publication in conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred)
• 3+ years of experience with computer vision in academia or industry
• 5+ years in machine learning or applied science/research in academia or industry
• 5+ years of experience with general purpose programming language (Python, Scala, Java, C, C++, etc.)
• Active Federal Q Clearance and ability to maintain such clearance

Hazardous Working Conditions/Environment

Not Applicable

Additional Information

This position requires the ability to obtain and maintain a federal security clearance.

Requirements
• U.S. Citizenship
• Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
• Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).

Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.

referral eligible

Testing Designated Position

This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

Mandatory Requirements

Battelle requires employees to have a COVID-19 vaccine as a condition of employment, subject to accommodation. Applicants are required to disclose their vaccination status following a conditional offer of employment and must attest to being fully vaccinated with a Center for Disease Control (CDC)-approved COVID-19 vaccination, or provide documentation of need for medical or religious exemption from the COVID-19 vaccination requirement.

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
Apply Here
For Remote Senior Data Scientist 4 – Computer Vision roles, visit Remote Senior Data Scientist 4 – Computer Vision Roles

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Software Engineer, Systems Specialist at Meta

Location: Seattle

Meta is the world leader in the design of virtual and augmented reality systems. Come work alongside expert engineers and research scientists to create the technology that makes AR and VR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. We’re looking for a Software Engineer interested in working near the intersection of AR hardware and software. Your primary area of responsibilities will be on roadmapping, designing and developing an augmented reality graphics prototype vehicle based on Linux and Windows host software emulation. Your work will accelerate the AR product organization’s development velocity by enabling re-use of graphics software from prototype to custom silicon-based end product. Beyond graphics, you’ll then tackle accelerating AR computer vision and custom sensor development. Come help us build the Metaverse!

Software Engineer, Systems Specialist Responsibilities:
• Roadmapping, designing and developing a graphics prototype based on Linux and Windows host software emulation
• Accelerate the AR product organization’s development velocity by enabling re-use of graphics software from prototype to custom silicon platforms
• Accelerating AR computer vision and custom sensor development
• Analyze, design, develop, and debug firmware and system software for a wide variety of AR and VR consumer devices, including novel sensing and imaging systems, haptic devices, and audio prototypes
• Understand and implement power-management, boot loaders, scheduling, and RTOS based solutions
• Collaborate in a team environment across multiple product focused, research, and engineering disciplines, making the architectural tradeoffs required to rapidly deliver firmware solutions
• Support all phases of SoC/ASIC development – including early architecture requirements definition for custom silicon, firmware architecture, implementation, simulation, FPGA debug, chip bring up and support systems and software teams on algorithm development on validated systems
• Understand and drive implementation of good FW development practices across teams and projects
Minimum Qualifications:
• Experience working with hardware and setting up and configuring non-form factor development boards with exposed electronic components
• Understanding Embedded systems and hardware
• Experience with developing Linux or Windows drivers
• Experience in system design, communication, and code review
• Experience with producing high quality code with test coverage, using modern abstractions and frameworks
• Experience with performance analysis system level optimization
• Experience with cross multi-disciplinary boundaries to drive system solutions
• 6+ years experience delivering performant solutions for resource/memory constrained devices or systems
• B.S./M.S. degree in Computer Science or Electrical Engineering or equivalent experience
• 6+ years of experience creating PC applications that interface with hardware systems or standalone PC application on Linux and Windows
• Experience with software design and programming in C, C+ or Python, Rust
• 2+ years of experience with any of the following: Real Time low-latency sensor processing, Linux and Windows kernel-level and user space device drivers, ARM based processors and microcontrollers and various communications protocols such as I2C, UART, SPI, USB, MIPI, I2S, et. or GPU-based development and optimization techniques
Preferred Qualifications:
• Experience with EDA design tools and instruction set simulators
• Experience in Rust, Open GL, Open CL, Cuda
• Experience with protocol implementations such as USB device classes (UVC, UAC, HID)
• Experience with peripherals such as USB, SPI, MIPI CSI/DSI, I2C, UART, GPIO etc.
• Experience with FPGA and vendor specific hardware evaluation boards
• Experience with graphics or computer vision algorithm development
• Experience with Embedded DSP and CPU architectures
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)
Apply Here
For Remote Software Engineer, Systems Specialist roles, visit Remote Software Engineer, Systems Specialist Roles

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