bluewillow

Woven Planet L5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Remote & Onsite (Hybrid - 2 days in p/w)

Woven Planet L5 develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at L5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning.

If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets We are also building a real-time OTA OS upon which all the autonomy software will run on. This work is a combination of Toolchain, Compiler and Embedded C/C++. Find out more about these roles at https://www.woven-planet.global/en/careers

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://www.woven-planet.global/en/careers

Woven Planet L5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed) Woven Planet L5 develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at L5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning.

If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets We are also building a real-time OTA OS upon which all the autonomy software will run on. This work is a combination of Toolchain, Compiler and Embedded C/C++. Find out more about these roles at https://www.woven-planet.global/en/careers

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://www.woven-planet.global/en/careers

Woven Planet L5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Woven Planet L5 develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at L5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning.

If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets We are also building a real-time OTA OS upon which all the autonomy software will run on. This work is a combination of Toolchain, Compiler and Embedded C/C++. Find out more about these roles at https://jobs.lever.co/woven-planet?department=Arene%20Softwa...

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

coming soon - will be on the woven planet careers page - https://jobs.lever.co/woven-planet?

coming soon - will be on the woven planet careers page - https://jobs.lever.co/woven-planet?

https://jobs.lever.co/woven-planet?

Currently we are using 2 ATS's - this will be consolidated at some point in the near future. Level 5 is all on Greenhouse.

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, gRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

The intern program is coming soon - I will add a link here when it is launched. It should be by the end of Feb.

:(

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, GRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

Smarkets | Full Time | HYBRID (London, UK; also Downtown LA, California)

We're a modern betting exchange, going technology first to enable proper price competition in a field of fat commissions. Join a small and agile team in our beautiful office in St. Katharine Docks. If our US location tickles your fancy, you get to help a sunny satellite office too.

Smarkets develops a reliable, low-latency, highly concurrent betting exchange based on trading exchange designs. We're also building a fast, modern web interface to allow for a smoother experience. Servicing our users is top priority.

The Smarkets platform is written predominantly in Python, C++ (replacing still present Erlang) and Javascript for React & React-Native, relying heavily on asynchronous programming techniques. The tech stack sports Kafka, Postgres and Kubernetes. We use REST where we can, and gRPC where we can't.

Life at Smarkets circles around people, version control, configuration management and automation. We can - and do - deploy to production several times a day. Production environment is in AWS. In fact, Smarkets was the first gambling operator under the Maltese regulator to get permission to run everything in the cloud. We push the envelope where needed and educate auditors when necessary.

We are looking for engineering talent all across the board: frontend and mobile, infrastructure, data science, trading engine, security - and of course generalists, those yet to find their calling.

If you like the idea of flat structure and practical engineering approach, see our jobs at https://smarkets.com/careers .

Smarkets | Full Time | ONSITE [2 days remote] (London, UK; & Downtown LA, California)

We're a modern betting exchange, going technology first to enable proper price competition in a field of fat commissions. Join a small and agile team in our beautiful office in St. Katharine Docks. If our US location tickles your fancy, you get to help a sunny satellite office too.

Smarkets develops a reliable, low-latency, highly concurrent betting exchange based on trading exchange designs. We're also building a fast, modern web interface to allow for a smoother experience. Servicing our users is top priority.

The Smarkets platform is written predominantly in Python, C++ (replacing still present Erlang) and Javascript for React & React-Native, relying heavily on asynchronous programming techniques. The tech stack sports Kafka, Postgres and Kubernetes. We use REST where we can, and gRPC where we can't. Life at Smarkets circles around people, version control, configuration management and automation. We can - and do - deploy to production several times a day.

Production environment is in AWS. In fact, Smarkets was the first gambling operator under the Maltese regulator to get permission to run everything in the cloud. We push the envelope where needed and educate auditors when necessary.

We are looking for engineering talent all across the board: frontend and mobile, infrastructure, data science, trading engine, security - and of course generalists, those yet to find their calling.

If you like the idea of flat structure and practical engineering approach, see our jobs at https://smarkets.com/careers .

As a consequence of our Series B, we have a renewed focus in LA at the moment and are looking to make multiple hires into our back-end development team.

Smarkets | Full Time | ONSITE [2 days remote] (London, UK; also Downtown LA, California)

We're a modern betting exchange, going technology first to enable proper price competition in a field of fat commissions. Join a small and agile team in our beautiful office in St. Katharine Docks. If our US location tickles your fancy, you get to help a sunny satellite office too.

Smarkets develops a reliable, low-latency, highly concurrent betting exchange based on trading exchange designs. We're also building a fast, modern web interface to allow for a smoother experience. Servicing our users is top priority.

The Smarkets platform is written predominantly in Python, C++ (replacing still present Erlang[ß]) and Javascript for React & React-Native, relying heavily on asynchronous programming techniques. The tech stack sports Kafka, Postgres and Kubernetes. We use REST where we can, and gRPC where we can't. Life at Smarkets circles around people, version control, configuration management and automation. We can - and do - deploy to production several times a day.

Production environment is in AWS. In fact, Smarkets was the first gambling operator under the Maltese regulator to get permission to run everything in the cloud. We push the envelope where needed and educate auditors when necessary.

We are looking for engineering talent all across the board: frontend and mobile, infrastructure, data science, trading engine, security - and of course generalists, those yet to find their calling.

If you like the idea of flat structure and practical engineering approach, see our jobs at https://smarkets.com/careers .

Smarkets | Full Time | ONSITE [REMOTE during the plague] (London, UK; also Downtown LA, California)

We're a modern betting exchange, going technology first to enable proper price competition in a field of fat commissions. Join a small and agile team in our beautiful office in St. Katharine Docks. If our US location tickles your fancy, you get to help a sunny satellite office too. For the time being, thanks to Covid, we are in fully remote mode.

Smarkets develops a reliable, low-latency, highly concurrent betting exchange based on trading exchange designs. We're also building a fast, modern web interface to allow for a smoother experience. Servicing our users is top priority.

The Smarkets platform is written predominantly in Python, C++ (replacing still present Erlang[ß]) and Javascript for React & React-Native, relying heavily on asynchronous programming techniques. The tech stack sports Kafka, Postgres and Kubernetes. We use REST where we can, and gRPC where we can't. Life at Smarkets circles around people, version control, configuration management and automation. We can - and do - deploy to production several times a day.

Production environment is in AWS. In fact, Smarkets was the first gambling operator under the Maltese regulator to get permission to run everything in the cloud. We push the envelope where needed and educate auditors when necessary.

We are looking for engineering talent all across the board: frontend and mobile, infrastructure, data science, trading engine, security - and of course generalists, those yet to find their calling.

If you like the idea of flat structure and practical engineering approach, see our jobs at https://smarkets.com/careers .

Smarkets | Full Time | ONSITE (at some point this year) (London, UK)

We're a modern betting exchange, going technology first to enable proper price competition in a field of fat commissions. Join a small, agile, and fast-growing team, in our beautiful office in St. Katharine Docks.

Smarkets develops a reliable, low-latency, highly concurrent betting exchange based on trading exchange designs. We're also building a fast, modern web interface to allow for a smoother experience. Servicing our users is top priority.

The Smarkets platform is written predominantly in Python, C++ and Javascript for React, relying heavily on asynchronous programming techniques. The tech stack sports Kafka, Postgres and increasingly Kubernetes. We use REST where we can. Life at Smarkets circles around people, version control, configuration management and automation. We can - and do - deploy to production several times a day.

Our entire production is in AWS. In fact, Smarkets was the first gambling operator under the Maltese regulator to get permission to run everything in the cloud. We push the envelope where needed and educate auditors when necessary.

We are looking for engineering talent all across the board: frontend, infrastructure, trading engine, security - and of course generalists, those yet to find their calling.

We also have a slightly unusual Mobile QA Developer in test position at the moment - so if you like writing and breaking code get in touch!

If you like the idea of a flat structure and practical engineering approach, see our jobs at https://smarkets.com/careers .

Smarkets | Full Time | ONSITE (London, UK)

We're a modern betting exchange, going technology first to enable proper price competition in a field of fat commissions. Join a small, agile, and fast-growing team, in our beautiful office in St. Katharine Docks.

Smarkets develops a reliable, low-latency, highly concurrent betting exchange based on trading exchange designs. We're also building a fast, modern web interface to allow for a smoother experience. Servicing our users is top priority.

The Smarkets platform is written predominantly in Python, C++ and Javascript for React, relying heavily on asynchronous programming techniques. The tech stack sports Kafka, Postgres and increasingly Kubernetes. We use REST where we can. Life at Smarkets circles around people, version control, configuration management and automation. We can - and do - deploy to production several times a day.

Our entire production is in AWS. In fact, Smarkets was the first gambling operator under the Maltese regulator to get permission to run everything in the cloud. We push the envelope where needed and educate auditors when necessary.

We are looking for engineering talent all across the board: frontend, infrastructure, trading engine, security - and of course generalists, those yet to find their calling.

If you like the idea of a flat structure and practical engineering approach, see our jobs at https://smarkets.com/careers .