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nasdaq:lyft
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www.lyft.com
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boards.greenhouse.io
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Jul 29th, 2019 12:00AM
|
PhD Research Intern, Computer Vision (Fall 2019)
|
Open
|
University
|
|
London, England, United Kingdom
|
London
|
|
GBR
|
Jul 22nd, 2019 12:00AM
|
|
<p>At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.</p><p>From day one, Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.</p><p>Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we’re moving at an incredible pace: we’re currently servicing employee rides in our test vehicles on the Lyft app. Learn more at <a href="http://lyft.com/level5" target="_blank" id="editor-module-link-66fef795-ec41-45e7-882c-cabe47ec187f">lyft.com/level5</a>. </p><p>In London, Lyft is working on building 3D visual maps at unprecedented scale using computer vision. Visual maps are a powerful tool for encoding and understanding the geometry and semantics of the world, which is a key component of safe and efficient autonomous driving. We are pushing the state-of-the-art Computer Vision techniques like visual SLAM and Structure from Motion (SfM) to new levels of accuracy, robustness, and scale. Our mission is to use large amounts of driving data to help accelerate the self-driving efforts in a very unique and potentially revolutionary research effort. </p><h1><strong>Responsibilities:</strong></h1><ul><li>Execute on high-impact projects and innovate new solutions to problems in the self-driving space through utilizing large amounts of driving data</li><li>Convert publications to actual implementations</li><li>Stay in touch with current research, through literature review, reading group, etc.</li><li>Work closely with computer vision and machine learning engineers to process data for Level 5’s autonomous vehicles</li><li>Work on distributed systems that process and transform large quantities of data</li></ul><h1>Experience<strong>:</strong></h1><ul><li>In the process of obtaining a PhD degree in Computer Vision, Computer Science or related fields</li><li>Currently enrolled in a full-time PhD program and returning to the program after the completion of the internship</li><li>Strong knowledge of CS fundamentals in one of Go / Python / C++</li><li>Experience in Computer Vision / Computational Geometry / Structure from Motion / SLAM</li><li>Ability to write testable and, modular code</li><li>Ability to work in a fast-paced environment and collaborate across teams and disciplines</li><li>Excellent communication skills</li></ul><h1><strong>Nice to Have:</strong></h1><ul><li>Experience working on multiple aspects of machine learning and computer vision technology such as perception, objection recognition, localization, and deep learning</li><li>Experience in autonomous driving technology</li><li>Experience in computer imagery, graphics, data mining, and/or large-scale data processing</li><li>Knowledge of Open Computer Vision (OpenCV) code, TensorFlow, Caffe, or related technologies</li></ul><h1>Benefits:</h1><ul><li>Private health insurance, income protection, and life assurance benefits</li><li>Cycle to Work scheme option to purchase a bike and accessories tax free</li><li>Unlimited holiday </li><li>Pension scheme with 5% employer contribution</li><li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li><li>Weekly yoga sessions</li></ul><p><em>Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request </em><em>in accordance with</em><em> applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.</em></p>
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Jul 29th, 2019 05:44AM
|
Jul 29th, 2019 05:44AM
|
Lyft
|
Technology
|
Software & Computer Services
|
|
nasdaq:lyft
|
www.lyft.com
|
boards.greenhouse.io
|
Jul 29th, 2019 12:00AM
|
Research Scientist, Autonomous Driving - London
|
Open
|
Autonomous Knowledge (Level 5)
|
|
London, England, United Kingdom
|
London
|
|
GBR
|
Jul 25th, 2019 12:00AM
|
|
<p>At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.</p><p>From day one, Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.</p><p>Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we’re moving at an incredible pace: we’re currently servicing employee rides in our test vehicles on the Lyft app. Learn more at lyft.com/level5.</p><p>This newly formed team will develop new experimental solutions that combine the latest findings in cutting-edge computer vision, machine learning and large-scale data processing to advance the capabilities of our existing systems and to advance the state-of-the-art of the field.</p><h1><strong>Responsibilities:</strong></h1><ul><li>Work in a small, high-velocity team of engineers and researchers</li><li>Design and prototype new computer vision and machine learning solutions</li><li>Identify bottlenecks in existing algorithms and systems</li><li>Develop case studies and experimentally validate hypotheses</li><li>Collaborate with AV engineering teams in productionizing systems</li><li>Advance the state-of-the-art, publish and represent Level 5 at top-tier conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA)</li></ul><h1><strong>Experience &amp; Skills</strong><strong>:</strong></h1><ul><li>PhD in Computer Vision, Machine Learning or Robotics</li><li>Experience publishing at state-of-the-art conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA)</li><li>Programming experience in implementing prototypes of new cutting-edge solutions using Python, C++ or Matlab</li><li>Expertise and hands-on experience in at least one the following areas:</li><li class="ql-indent-1">Neural Networks</li><li class="ql-indent-1">Graphical models</li><li class="ql-indent-1">SLAM</li><li class="ql-indent-1">Generative models</li><li class="ql-indent-1">Parametric model fitting</li><li class="ql-indent-1">Bayesian modelling</li><li class="ql-indent-1">(Inverse) Reinforcement learning</li><li class="ql-indent-1">Continuous optimisation</li><li class="ql-indent-1">3D computer vision</li></ul><h1><strong>Nice To Have:</strong></h1><ul><li>Experience working on self-driving problems (Perception, Prediction, Mapping, Localisation, Planning, Simulations)</li><li>Experience with following tools / technologies:</li><li class="ql-indent-1">DeepLearning: TensorFlow, PyTorch</li><li class="ql-indent-1">Computer Vision: OpenCV</li><li class="ql-indent-1">Continuous optimisation: Ceres, g2o</li><li class="ql-indent-1">3D graphics and visualisation: OpenGL, WebGL, Three.js, Matplotlib</li><li class="ql-indent-1">Dashboarding: Mode Analytics, Apache Superset</li><li class="ql-indent-1">Large-scale data processing: Spark, AWS</li><li class="ql-indent-1">Databases: SQL, BigQuery</li><li class="ql-indent-1">GPU programming: Cuda, OpenCV</li></ul><h1>Benefits:</h1><ul><li>Private health insurance, income protection, and life assurance benefits</li><li>Cycle to Work scheme option to purchase a bike and accessories tax free</li><li>Unlimited holiday </li><li>Pension scheme with 5% employer contribution</li><li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li><li>Weekly yoga sessions</li></ul><p><em>Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.</em></p>
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Jul 29th, 2019 05:44AM
|
Jul 29th, 2019 05:44AM
|
Lyft
|
Technology
|
Software & Computer Services
|
|
nasdaq:lyft
|
www.lyft.com
|
boards.greenhouse.io
|
Aug 3rd, 2019 12:00AM
|
PhD Research Intern, Computer Vision (Fall 2019)
|
Open
|
University
|
|
London, England, United Kingdom
|
London
|
|
GBR
|
Aug 1st, 2019 12:00AM
|
|
<p>At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.</p><p>From day one, Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.</p><p>Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we’re moving at an incredible pace: we’re currently servicing employee rides in our test vehicles on the Lyft app. Learn more at <a href="http://lyft.com/level5" target="_blank" id="editor-module-link-66fef795-ec41-45e7-882c-cabe47ec187f">lyft.com/level5</a>. </p><p>In London, Lyft is working on building 3D visual maps at unprecedented scale using computer vision. Visual maps are a powerful tool for encoding and understanding the geometry and semantics of the world, which is a key component of safe and efficient autonomous driving. We are pushing the state-of-the-art Computer Vision techniques like visual SLAM and Structure from Motion (SfM) to new levels of accuracy, robustness, and scale. Our mission is to use large amounts of driving data to help accelerate the self-driving efforts in a very unique and potentially revolutionary research effort. </p><h1><strong>Responsibilities:</strong></h1><ul><li>Execute on high-impact projects and innovate new solutions to problems in the self-driving space through utilizing large amounts of driving data</li><li>Convert publications to actual implementations</li><li>Stay in touch with current research, through literature review, reading group, etc.</li><li>Work closely with computer vision and machine learning engineers to process data for Level 5’s autonomous vehicles</li><li>Work on distributed systems that process and transform large quantities of data</li></ul><h1>Experience<strong>:</strong></h1><ul><li>In the process of obtaining a PhD degree in Computer Vision, Computer Science or related fields</li><li>Currently enrolled in a full-time PhD program and returning to the program after the completion of the internship</li><li>Strong knowledge of CS fundamentals in one of Go / Python / C++</li><li>Experience in Computer Vision / Computational Geometry / Structure from Motion / SLAM</li><li>Ability to write testable and, modular code</li><li>Ability to work in a fast-paced environment and collaborate across teams and disciplines</li><li>Excellent communication skills</li></ul><h1><strong>Nice to Have:</strong></h1><ul><li>Experience working on multiple aspects of machine learning and computer vision technology such as perception, objection recognition, localization, and deep learning</li><li>Experience in autonomous driving technology</li><li>Experience in computer imagery, graphics, data mining, and/or large-scale data processing</li><li>Knowledge of Open Computer Vision (OpenCV) code, TensorFlow, Caffe, or related technologies</li></ul><h1>Benefits:</h1><ul><li>Private health insurance, income protection, and life assurance benefits</li><li>Cycle to Work scheme option to purchase a bike and accessories tax free</li><li>Unlimited holiday </li><li>Pension scheme with 5% employer contribution</li><li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li><li>Weekly yoga sessions</li></ul><p><em>Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request </em><em>in accordance with</em><em> applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.</em></p>
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|
|
|
Aug 3rd, 2019 07:02AM
|
Aug 3rd, 2019 07:02AM
|
Lyft
|
Technology
|
Software & Computer Services
|
|
nasdaq:lyft
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www.lyft.com
|
boards.greenhouse.io
|
Aug 5th, 2019 12:00AM
|
PhD Research Intern, Computer Vision (Fall 2019)
|
Open
|
University
|
|
London, England, United Kingdom
|
London
|
|
GBR
|
Aug 1st, 2019 12:00AM
|
|
<p>At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.</p><p>From day one, Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.</p><p>Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we’re moving at an incredible pace: we’re currently servicing employee rides in our test vehicles on the Lyft app. Learn more at <a href="http://lyft.com/level5" target="_blank" id="editor-module-link-66fef795-ec41-45e7-882c-cabe47ec187f">lyft.com/level5</a>. </p><p>In London, Lyft is working on building 3D visual maps at unprecedented scale using computer vision. Visual maps are a powerful tool for encoding and understanding the geometry and semantics of the world, which is a key component of safe and efficient autonomous driving. We are pushing the state-of-the-art Computer Vision techniques like visual SLAM and Structure from Motion (SfM) to new levels of accuracy, robustness, and scale. Our mission is to use large amounts of driving data to help accelerate the self-driving efforts in a very unique and potentially revolutionary research effort. </p><h1><strong>Responsibilities:</strong></h1><ul><li>Execute on high-impact projects and innovate new solutions to problems in the self-driving space through utilizing large amounts of driving data</li><li>Convert publications to actual implementations</li><li>Stay in touch with current research, through literature review, reading group, etc.</li><li>Work closely with computer vision and machine learning engineers to process data for Level 5’s autonomous vehicles</li><li>Work on distributed systems that process and transform large quantities of data</li></ul><h1>Experience<strong>:</strong></h1><ul><li>In the process of obtaining a PhD degree in Computer Vision, Computer Science or related fields</li><li>Currently enrolled in a full-time PhD program and returning to the program after the completion of the internship</li><li>Strong knowledge of CS fundamentals in one of Go / Python / C++</li><li>Experience in Computer Vision / Computational Geometry / Structure from Motion / SLAM</li><li>Ability to write testable and, modular code</li><li>Ability to work in a fast-paced environment and collaborate across teams and disciplines</li><li>Excellent communication skills</li></ul><h1><strong>Nice to Have:</strong></h1><ul><li>Experience working on multiple aspects of machine learning and computer vision technology such as perception, objection recognition, localization, and deep learning</li><li>Experience in autonomous driving technology</li><li>Experience in computer imagery, graphics, data mining, and/or large-scale data processing</li><li>Knowledge of Open Computer Vision (OpenCV) code, TensorFlow, Caffe, or related technologies</li></ul><h1>Benefits:</h1><ul><li>Private health insurance, income protection, and life assurance benefits</li><li>Cycle to Work scheme option to purchase a bike and accessories tax free</li><li>Unlimited holiday </li><li>Pension scheme with 5% employer contribution</li><li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li><li>Weekly yoga sessions</li></ul><p><em>Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request </em><em>in accordance with</em><em> applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.</em></p>
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|
|
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|
Aug 5th, 2019 07:10AM
|
Aug 5th, 2019 07:10AM
|
Lyft
|
Technology
|
Software & Computer Services
|
|
nasdaq:lyft
|
www.lyft.com
|
boards.greenhouse.io
|
Aug 6th, 2019 12:00AM
|
Research Scientist, Autonomous Driving - London
|
Open
|
Autonomous Knowledge (Level 5)
|
|
London, England, United Kingdom
|
London
|
|
GBR
|
Aug 1st, 2019 12:00AM
|
|
<p>At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.</p><p>From day one, Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.</p><p>Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we’re moving at an incredible pace: we’re currently servicing employee rides in our test vehicles on the Lyft app. Learn more at lyft.com/level5.</p><p>This newly formed team will develop new experimental solutions that combine the latest findings in cutting-edge computer vision, machine learning and large-scale data processing to advance the capabilities of our existing systems and to advance the state-of-the-art of the field.</p><h1><strong>Responsibilities:</strong></h1><ul><li>Work in a small, high-velocity team of engineers and researchers</li><li>Design and prototype new computer vision and machine learning solutions</li><li>Identify bottlenecks in existing algorithms and systems</li><li>Develop case studies and experimentally validate hypotheses</li><li>Collaborate with AV engineering teams in productionizing systems</li><li>Advance the state-of-the-art, publish and represent Level 5 at top-tier conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA)</li></ul><h1><strong>Experience &amp; Skills</strong><strong>:</strong></h1><ul><li>PhD in Computer Vision, Machine Learning or Robotics</li><li>Experience publishing at state-of-the-art conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA)</li><li>Programming experience in implementing prototypes of new cutting-edge solutions using Python, C++ or Matlab</li><li>Expertise and hands-on experience in at least one the following areas:</li><li class="ql-indent-1">Neural Networks</li><li class="ql-indent-1">Graphical models</li><li class="ql-indent-1">SLAM</li><li class="ql-indent-1">Generative models</li><li class="ql-indent-1">Parametric model fitting</li><li class="ql-indent-1">Bayesian modelling</li><li class="ql-indent-1">(Inverse) Reinforcement learning</li><li class="ql-indent-1">Continuous optimisation</li><li class="ql-indent-1">3D computer vision</li></ul><h1><strong>Nice To Have:</strong></h1><ul><li>Experience working on self-driving problems (Perception, Prediction, Mapping, Localisation, Planning, Simulations)</li><li>Experience with following tools / technologies:</li><li class="ql-indent-1">DeepLearning: TensorFlow, PyTorch</li><li class="ql-indent-1">Computer Vision: OpenCV</li><li class="ql-indent-1">Continuous optimisation: Ceres, g2o</li><li class="ql-indent-1">3D graphics and visualisation: OpenGL, WebGL, Three.js, Matplotlib</li><li class="ql-indent-1">Dashboarding: Mode Analytics, Apache Superset</li><li class="ql-indent-1">Large-scale data processing: Spark, AWS</li><li class="ql-indent-1">Databases: SQL, BigQuery</li><li class="ql-indent-1">GPU programming: Cuda, OpenCV</li></ul><h1>Benefits:</h1><ul><li>Private health insurance, income protection, and life assurance benefits</li><li>Cycle to Work scheme option to purchase a bike and accessories tax free</li><li>Unlimited holiday </li><li>Pension scheme with 5% employer contribution</li><li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li><li>Weekly yoga sessions</li></ul><p><em>Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.</em></p>
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Aug 6th, 2019 07:03AM
|
Aug 6th, 2019 07:03AM
|
Lyft
|
Technology
|
Software & Computer Services
|
|
nasdaq:lyft
|
www.lyft.com
|
boards.greenhouse.io
|
Aug 7th, 2019 12:00AM
|
PhD Research Intern, Computer Vision (Fall 2019)
|
Open
|
University
|
|
London, England, United Kingdom
|
London
|
|
GBR
|
Aug 7th, 2019 12:00AM
|
|
<p>At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.</p><p>From day one, Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.</p><p>Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we’re moving at an incredible pace: we’re currently servicing employee rides in our test vehicles on the Lyft app. Learn more at <a href="http://lyft.com/level5" target="_blank" id="editor-module-link-66fef795-ec41-45e7-882c-cabe47ec187f">lyft.com/level5</a>. </p><p>In London, Lyft is working on building 3D visual maps at unprecedented scale using computer vision. Visual maps are a powerful tool for encoding and understanding the geometry and semantics of the world, which is a key component of safe and efficient autonomous driving. We are pushing the state-of-the-art Computer Vision techniques like visual SLAM and Structure from Motion (SfM) to new levels of accuracy, robustness, and scale. Our mission is to use large amounts of driving data to help accelerate the self-driving efforts in a very unique and potentially revolutionary research effort. </p><h1><strong>Responsibilities:</strong></h1><ul><li>Execute on high-impact projects and innovate new solutions to problems in the self-driving space through utilizing large amounts of driving data</li><li>Convert publications to actual implementations</li><li>Stay in touch with current research, through literature review, reading group, etc.</li><li>Work closely with computer vision and machine learning engineers to process data for Level 5’s autonomous vehicles</li><li>Work on distributed systems that process and transform large quantities of data</li></ul><h1>Experience<strong>:</strong></h1><ul><li>In the process of obtaining a PhD degree in Computer Vision, Computer Science or related fields</li><li>Currently enrolled in a full-time PhD program and returning to the program after the completion of the internship</li><li>Strong knowledge of CS fundamentals in one of Go / Python / C++</li><li>Experience in Computer Vision / Computational Geometry / Structure from Motion / SLAM</li><li>Ability to write testable and, modular code</li><li>Ability to work in a fast-paced environment and collaborate across teams and disciplines</li><li>Excellent communication skills</li></ul><h1><strong>Nice to Have:</strong></h1><ul><li>Experience working on multiple aspects of machine learning and computer vision technology such as perception, objection recognition, localization, and deep learning</li><li>Experience in autonomous driving technology</li><li>Experience in computer imagery, graphics, data mining, and/or large-scale data processing</li><li>Knowledge of Open Computer Vision (OpenCV) code, TensorFlow, Caffe, or related technologies</li></ul><h1>Benefits:</h1><ul><li>Private health insurance, income protection, and life assurance benefits</li><li>Cycle to Work scheme option to purchase a bike and accessories tax free</li><li>Unlimited holiday </li><li>Pension scheme with 5% employer contribution</li><li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li><li>Weekly yoga sessions</li></ul><p><em>Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request </em><em>in accordance with</em><em> applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.</em></p>
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Aug 7th, 2019 07:37AM
|
Aug 7th, 2019 07:37AM
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Lyft
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Technology
|
Software & Computer Services
|
|
nasdaq:lyft
|
www.lyft.com
|
boards.greenhouse.io
|
Aug 9th, 2019 12:00AM
|
Software Engineer, Autonomous Driving, London
|
Open
|
Autonomous Software (Level 5)
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London, England, United Kingdom
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London
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GBR
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Aug 7th, 2019 12:00AM
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<p>At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.</p>
<p>From day one, Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.</p>
<p>Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we’re moving at an incredible pace: we’re currently servicing employee rides in our test vehicles on the Lyft app. Learn more at lyft.com/level5.</p>
<p>In London, Lyft is working on building 3D visual maps at unprecedented scale using computer vision. Visual maps are a powerful tool for encoding and understanding the geometry and semantics of the world, which is a key component of safe and efficient autonomous driving. Our mission is to push the state-of-the-art of computer vision algorithms like visual SLAM and Structure from Motion (SfM) to new levels of accuracy, robustness and scale.</p>
<h1><strong>Responsibilities:</strong></h1>
<ul>
<li>Work on high-impact projects and innovate new solutions to problems in the self-driving space</li>
<li>Work with computer vision and machine learning engineers to process data for Level 5’s autonomous vehicles</li>
<li>Build and deploy production-quality services that can serve hundreds of requests per second</li>
<li>Work on distributed systems that process and transform large quantities of data</li>
<li>Build tools and dashboards to provide visibility to other teams</li>
</ul>
<h1><strong>Experience:</strong></h1>
<ul>
<li>2+ years of professional software engineering experience</li>
<li>Experience writing testable, modular code for safety-critical systems</li>
<li>Ability to work in a fast-paced environment and collaborate across teams and disciplines</li>
<li>Experience building APIs for web and mobile clients</li>
<li>Experience building web services for real-time data processing</li>
</ul>
<h1><strong>Nice to Have:</strong></h1>
<ul>
<li>Extensive experience in one of Go / Python / C++</li>
<li>Hands-on experience with distributed systems using AWS or GCP</li>
<li>Experience working on geographic information systems</li>
<li>Experience building distributed data pipelines</li>
<li>Knowledge of modern web frontend development</li>
</ul>
<h1>Benefits:</h1>
<ul>
<li>Private health insurance, income protection, and life assurance benefits</li>
<li>Cycle to Work scheme option to purchase a bike and accessories tax free</li>
<li>Unlimited holiday </li>
<li>Pension scheme with 5% employer contribution</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li>
<li>Weekly yoga sessions</li>
</ul>
<p><em><span style="font-weight: 400;">Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your Recruiter if you wish to make such a request.</span></em></p>
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Aug 9th, 2019 06:38AM
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Aug 9th, 2019 06:38AM
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Lyft
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Technology
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Software & Computer Services
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nasdaq:lyft
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www.lyft.com
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boards.greenhouse.io
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Aug 10th, 2019 12:00AM
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Research Scientist, Autonomous Driving - London
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Open
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Autonomous Knowledge (Level 5)
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London, England, United Kingdom
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London
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GBR
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Aug 8th, 2019 12:00AM
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<p>At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.</p><p>From day one, Lyft’s mission has been to improve people’s lives with the world’s best transportation. And self-driving cars are critical to that mission: they can make our streets safer, cities greener, and traffic a thing of the past. That’s why we started Level 5, our self-driving division, where we’re building a self-driving system to operate on the Lyft network.</p><p>Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we’re moving at an incredible pace: we’re currently servicing employee rides in our test vehicles on the Lyft app. Learn more at lyft.com/level5.</p><p>This newly formed team will develop new experimental solutions that combine the latest findings in cutting-edge computer vision, machine learning and large-scale data processing to advance the capabilities of our existing systems and to advance the state-of-the-art of the field.</p><h1><strong>Responsibilities:</strong></h1><ul><li>Work in a small, high-velocity team of engineers and researchers</li><li>Design and prototype new computer vision and machine learning solutions</li><li>Identify bottlenecks in existing algorithms and systems</li><li>Develop case studies and experimentally validate hypotheses</li><li>Collaborate with AV engineering teams in productionizing systems</li><li>Advance the state-of-the-art, publish and represent Level 5 at top-tier conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA)</li></ul><h1><strong>Experience &amp; Skills</strong><strong>:</strong></h1><ul><li>PhD in Computer Vision, Machine Learning or Robotics</li><li>Experience publishing at state-of-the-art conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA)</li><li>Programming experience in implementing prototypes of new cutting-edge solutions using Python, C++ or Matlab</li><li>Expertise and hands-on experience in at least one the following areas:</li><li class="ql-indent-1">Neural Networks</li><li class="ql-indent-1">Graphical models</li><li class="ql-indent-1">SLAM</li><li class="ql-indent-1">Generative models</li><li class="ql-indent-1">Parametric model fitting</li><li class="ql-indent-1">Bayesian modelling</li><li class="ql-indent-1">(Inverse) Reinforcement learning</li><li class="ql-indent-1">Continuous optimisation</li><li class="ql-indent-1">3D computer vision</li></ul><h1><strong>Nice To Have:</strong></h1><ul><li>Experience working on self-driving problems (Perception, Prediction, Mapping, Localisation, Planning, Simulations)</li><li>Experience with following tools / technologies:</li><li class="ql-indent-1">DeepLearning: TensorFlow, PyTorch</li><li class="ql-indent-1">Computer Vision: OpenCV</li><li class="ql-indent-1">Continuous optimisation: Ceres, g2o</li><li class="ql-indent-1">3D graphics and visualisation: OpenGL, WebGL, Three.js, Matplotlib</li><li class="ql-indent-1">Dashboarding: Mode Analytics, Apache Superset</li><li class="ql-indent-1">Large-scale data processing: Spark, AWS</li><li class="ql-indent-1">Databases: SQL, BigQuery</li><li class="ql-indent-1">GPU programming: Cuda, OpenCV</li></ul><h1>Benefits:</h1><ul><li>Private health insurance, income protection, and life assurance benefits</li><li>Cycle to Work scheme option to purchase a bike and accessories tax free</li><li>Unlimited holiday </li><li>Pension scheme with 5% employer contribution</li><li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li><li>Weekly yoga sessions</li></ul><p><em>Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.</em></p>
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Aug 10th, 2019 07:35AM
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Aug 10th, 2019 07:35AM
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Lyft
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Technology
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Software & Computer Services
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nasdaq:lyft
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www.lyft.com
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www.lyft.com
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Mar 5th, 2018 12:00AM
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Technical Recruiter, Level 5 Autonomous - Munich (Contract)
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Open
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People
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Munich, Germany
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Munich
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DEU
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Feb 27th, 2018 12:00AM
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Mar 4th, 2018 10:34PM
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Mar 4th, 2018 10:34PM
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Lyft
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Technology
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Software & Computer Services
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nasdaq:lyft
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www.lyft.com
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www.lyft.com
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Mar 6th, 2018 12:00AM
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Technical Recruiter, Level 5 Autonomous - Munich (Contract)
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Open
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People
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Munich, Germany
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Munich
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DEU
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Feb 27th, 2018 12:00AM
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Mar 5th, 2018 10:34PM
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Mar 5th, 2018 10:34PM
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Lyft
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Technology
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Software & Computer Services
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