Fulltime Computer Vision Engineer openings in San Francisco Bay Area, United States on September 03, 2022

Computer Vision Engineer – Remote at Jobot

Location: San Francisco

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.
Apply Here
For Remote Computer Vision Engineer – Remote roles, visit Remote Computer Vision Engineer – Remote Roles

********

Software Engineer, Computer Vision at Meta

Location: San Francisco

• 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.
• 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 accommodations-extfb.com.
Apply Here
For Remote Software Engineer, Computer Vision roles, visit Remote Software Engineer, Computer Vision Roles

********

Computer Vision Engineer – Remote at Jobot

Location: San Francisco

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.
Apply Here
For Remote Computer Vision Engineer – Remote roles, visit Remote Computer Vision Engineer – Remote Roles

********

Sr. Edge Compute/ML Engineer at Built In

Location: San Francisco

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet’s data to develop new technologies, drive revenue, power research, and solve our worlds toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is headquartered in San Francisco, California, Earth.

About the Role:

Planet is working on the next generation small satellite bus that will host a high resolution optical imaging payload (Pelican) and a hyperspectral payload (Carbon Mapper). We are seeking an Edge Compute Engineer to lead the onboard compute and analytics effort on the next generation satellites. . You will work with various teams to finalize the system requirements, develop functional specifications, and down-select the processors. You will lead the development of onboard processing and machine learning algorithms for various Earth Observation applications, benchmark the algorithms on the ground and ultimately deploy them in space for processing satellite imagery. You will collaborate with electrical engineers, camera engineers, firmware engineers, data pipeline, and analytics engineers to build and iterate on the solution.

Impact Youll Own:
• Develop onboard computer vision and machine learning models that enable real time segmentation, feature detection, and object recognition.
• Develop pre-processing of raw imagery onboard the satellite to make them useable by the machine learning algorithms
• Collaborate with the analytics machine learning team to implement deep-learning-based classification systems on pre-processed imagery for identifying, characterizing, and classifying objects
• Explore and develop new methods for improving detection performance and improving the runtime of inference
• Work with internal customers to develop onboard processing and machine learning pipelines for various use cases and classification tasks
• Help to architect and develop the data pipeline and platform supporting onboard processing
• Hardware/software co-development of edge computing solutions for Planets next generation spacecraft
• Own and drive performance metrics (e.g. latency, memory, bandwidth, power)

What You Bring:
• 5+ years developing algorithms and solving problems pertaining to image processing, computer vision, object detection, machine learning
• Proven track record of algorithm development and solutions to solve real-world problems in computationally constrained environments
• Extensive experience programming in Python and/or C++ with computer vision libraries
• Embrace of version control (eg git) and CI tools
• Proficient in GPU-based computing frameworks (OpenCL/CUDA/TensorFlow)
• Understanding of embedded and high efficiency software architectures.
• Experience designing low latency, highly performant code
• Experience in hardware / software co-design

What Makes you Stand Out:
• Experience with machine learning on earth observation data sets
• Low level programming experience in CUDA/OpenCL
• Excellent communication and analytical skills
• Self-motivated and a great teammate

Benefits While Working at Planet:
• Comprehensive Health Plan
• Wellness program and onsite massages in specific offices
• Flexible Time Off
• Recognition Programs
• Commuter Benefits
• Learning and Tuition Reimbursement
• Parental Leave
• Offsites and Happy Hours
• Volunteering Benefits

Some Press About Us:

Our CEO, Will Marshall featured on TED and featured in a Planet Blog

Planet: Bringing Space Back Down to Earth

Tiny, privately owned satellites are changing how we view the Earth features in NBC News

Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace Planet Blog

Why we care so much about Belonging.

Were dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. Thats why Planet is guided by an ultimate north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but youre thinking you might not have all the qualifications, please… do apply At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We dont just fill positions, we aspire to fulfill peoples careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope youre excited to come along for the ride.

EEO statement:

Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Accommodations:

Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet’s front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

.
#LI-AZ1
Apply Here
For Remote Sr. Edge Compute/ML Engineer roles, visit Remote Sr. Edge Compute/ML Engineer Roles

********

Senior Network Security Researcher at Palo Alto Networks Inc

Location: San Francisco

• Being the cybersecurity partner of choice, protecting our digital way of life.
• We have the vision of a world where each day is safer and more secure than the one before.
• These aren’t easy goals to accomplish – but we’re not here for easy.
• We’re here for better.
• We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
• We’re changing the nature of work.
• Palo Alto Networks is evolving to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work.
• From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks.
• And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.
• The Network Security Research team is responsible for researching, prototyping, and delivering high-quality solutions to prevent successful cyberattacks.
• We’ve designed various detection systems and data infrastructures to protect customers against constantly evolving threats and attacks.
• In addition, we are active network security researchers credited with hundreds of CVEs and speakers at top security conferences.
• Track and research emerging vulnerabilities and threats and innovate new ways to identify malicious indicators used by malware and attacks
• Design and build scalable and extensible prevention/detection systems;
• Research on and respond to critical vulnerabilities and provide agile detection/mitigation;
• Convert research results and discoveries into products, research papers, etc.
• Creative thinker and team player, passionate and highly self-motivated in security research;
• Excellent programming skills in Python, Shell script, Go, C/C
• Knowledge and experience with malware and vulnerability research
• Understanding of core Web and network protocols (TCP/IP, HTTP/HTTPS, DNS, etc.)
• Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Hadoop, Spark, Elasticsearch, Kafka is a plus;
• Knowledge and experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting is a plus
• BS/MS in Computer Science or related fields with security research experience
• We’re not your ordinary Information Security team.
• We’re a diverse group of security professionals that accepts challenging the status quo in order to protect Palo Alto Networks and our customers.
• Driving innovation on the Information Security team of the fastest-growing high-tech cybersecurity company is a once in a lifetime opportunity.
• You’ll be joined by the brightest minds in technology, and our global teams are on the front line of defense against cyberattacks.
• We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo.
• It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
• We are committed to providing reasonable accommodations for all qualified individuals with a disability.
• If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
• Palo Alto Networks is an equal opportunity employer.
• We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
• All your information will be kept confidential according to EEO guidelines.
• Covid-19 Vaccination Information for Palo Alto Networks Jobs
• Vaccine requirements and disclosure obligations vary by country.
• The job requires accessing a company worksite
• The job requires in-person customer contact and the customer has implemented such requirements
• You choose to access a Palo Alto Networks worksite
• If you have questions about the vaccine requirements of this particular position based on your location or job requirements, please inquire with the recruiter.
Apply Here
For Remote Senior Network Security Researcher roles, visit Remote Senior Network Security Researcher Roles

********

Research Scientist, Computer Vision at TikTok

Location: Mountain View

Description

Intelligent Creations focuses on conducting cutting-edge research and development in the area of Computer Graphics, Computer Vision, Augmented Reality and Deep Learning, and continuously transfer innovative technologies to various ByteDance products including Tiktok. We are looking for talents ls to join us on this exciting journey!

What You’ll Do:
• Conduct cutting-edge research and development in computer vision, machine learning and other related fields;
• Transfer advanced technologies to ByteDance products;
• Explore new products with artificial intelligence technology ifications
• Research and practical experience in one s of computer vision, including but not limited to (preferring candidates with publications in top-tier venues such as CVPR, ICCV, ECCV):

– Generative models, GAN (generative adversarial networks) – Image and video synthesis/manipulation – Unsupervised and weakly-supervised image/video representation learning – Object detection, recognition, segmentation, and tracking – Action recognition, event detection, video summarization – Human modeling (2D and 3D pose estimation, hand pose estimation, human shape estimation) – Facial analysis – Image and video retrieval – Image and video enhancement – Image and video restoration
• Highly competent in algorithms and programming;
Strong coding skills in C/C++ and Python.
• Work and collaborate well with team members.
• Ability to work independently.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

We believe individuals shouldn’t be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to us .Regular

Experienced
Apply Here
For Remote Research Scientist, Computer Vision roles, visit Remote Research Scientist, Computer Vision Roles

********

Head of Deep Learning at Skydio, Inc

Location: San Mateo

• Skydio is the leading US drone manufacturer and world leader in autonomous flight, the key technology for the future of drones and aerial transportation.
• The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, and operational excellence to empower a broader, more diverse audience of drone users – from action sports enthusiasts to first responders.
• The core of what makes our company work and our products possible is a small, elite autonomy team that blends cutting edge computer vision, deep learning, and robotics research with real world product development.
• We have a unique combination of factors including customized hardware, significant investment in supporting software infrastructure, massive real world data sets, a dedicated flight testing team, and deep customer insight from our existing products that put us in a position to push the state of the art in robotics in a way that few other places can.
• Skydio is searching for a Head of Deep Learning to own the full ecosystem of our deep learning efforts from research to production, and to grow our world-class presence in the areas of localization, obstacle avoidance, object detection, scene understanding, and 3D reconstruction.
• We are looking for an elite leader interested in pushing the state-of-the-art and harnessing it to make impactful products.
• This role will be a key member of our autonomy leadership team and drive progress across several technical and product domains.
• More about why this role HERE
• You will leverage deep learning and computer vision experience combined with high quality software engineering to bring state-of-the-art autonomy technology to market
• You will blend deep learning and geometric approaches to solve real world problems, using our existing expertise in both.
• You will apply research and develop state-of-the-art approaches to core vision problems, and balance this work with practical engineering to get these approaches integrated into our shipping product.
• You will get to see your work used by actual customers!
• You will drive complex cross-team goals, collaborating across our autonomy, product management, embedded, mobile, cloud, hardware, and flight test teams with emphasis on excellent communication and collaboration
• You will hire and mentor world-class engineers working on our deep learning systems
• You will use your experience and best practices to uphold and improve Skydio’s engineering standards and drive infrastructure investments that make us successful
• Deep technical understanding of topics in deep learning, robotics, computer vision, and software systems
• Proven leadership, management, recruiting, team building, and communication skills
• Solid fundamentals in 3D geometry, mathematics, and linear algebra
• You love building flying robots and making them do amazing things in the world
• At Skydio we believe that diversity drives innovation.
• We have created a multi-disciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems.
• We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
• For positions located in the United States of America, our company Skydio, Inc. uses E-Verify to confirm employment eligibility.
• To learn more about E-Verify, including your rights and responsibilities, please visit
Apply Here
For Remote Head of Deep Learning roles, visit Remote Head of Deep Learning Roles

********

The Tech Career Guru
We will be happy to hear your thoughts

Leave a reply

Tech Jobs Here
Logo