Machine Learning Expert

REYKJAVIK, ICELAND

An exciting opportunity to be at the forefront of AI and machine learning for sports.

OZ Sports is looking for a Machine Learning Expert to work full-time with the OZ engineering and product development team. We're looking for someone driven and very motivated, to build the most amazing sports production experience.

We believe AI is valuable only when it enables better decisions. We are about producing our sports leagues with a great storytelling and narratives, powered by people; empowered by machines. That is why our AI-enabled decision-making platform is to be designed to make good decisions in dynamic environments and in a supportive way.

For this development, OZ needs to execute two primary goals: i.) to handle amazing close-ups, and ii.) always securing the action is in the frame. This includes preparing the datasets for camera tracking and architecting the AI-assisted sports production feature set.

The OZ Sports team wants to make sure we’re pushing as hard as possible towards our set direction and that we stay innovative, push the boundaries, leveraging the best techniques in machine learning. It is critical for us to find a talent that is All-in and is well aligned with these guiding principles. This means there are no freelance jobs on the side.

As a company, we operate based on a few Core Guiding Principles. They are:

  • We are constantly focusing on innovating and we exist to make great products.
  • We believe in the simple, not the complex.
  • We believe in deep collaboration of our talent, which allows us to innovate in a way that others cannot.
  • We don't settle for anything less than excellence in every area in the company.
  • We have the self- honesty to admit when we're wrong and the courage to change.

Furthermore, we like to define our happiness at work with the Mindset of Confidence, Endurance, and Bravery.

Machine Learning Expert key points: Are you up for the challenge?

You will be working in highly collaborative, interdisciplinary teams delivering customer value through the
development and refinement of cutting edge ML tools, and the application of these tools to customer problems.

  • To make machine learning our secret weapon and our DNA.

  • Designing and implementing state-of-the-art machine learning techniques to solve a variety of different problems. Formulating and running experiments, and improving algorithms based on results.

  • Building efficient and reusable applications and abstractions, identify and communicate best practices on data sets and machine learning implementations. This includes models on Scene detection, Camera Operations, and Automatic highlights.

  • Computer vision research on Ball- and Player tracking, and for smart camera framing.

  • Help enhance our product on Camera Control Automation with PID control of robotic arms and< automatic real-time production/editing.

  • Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery.

  • Designing and developing high-quality software alongside with our research, data science and product teams working in an Agile team.

  • Reviewing documents, designs, and code done by others and provide constructive feedback.

  • Analyze and improve the performance, scalability, and stability of the product.

  • Improve engineering standards, tooling, and processes.

  • To actively participate and monitor the Nvidia Inception Program cooperation. Become an expert at the Nvidia DeepStream architecture.

  • Always stay up-to-date with the latest technologies in machine learning, computer vision or media technologies that can give us an edge.

  • Strong skill base in system architecture and code reviews.

  • Good planning skills, people management  and influencing skills.
  • To make machine learning our secret weapon and our DNA.

  • Designing and implementing state-of-the-art machine learning techniques to solve a variety of different problems. Formulating and running experiments, and improving algorithms based on results.

  • Building efficient and reusable applications and abstractions, identify and communicate best practices on data sets and machine learning implementations. This includes models on Scene detection, Camera Operations, and Automatic highlights.

  • Computer vision research on Ball- and Player tracking, and for smart camera framing.

  • Help enhance our product on Camera Control Automation with PID control of robotic arms and< automatic real-time production/editing.

  • Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery.

  • Designing and developing high-quality software alongside with our research, data science and product teams working in an Agile team.

  • Reviewing documents, designs, and code done by others and provide constructive feedback.

  • Analyze and improve the performance, scalability, and stability of the product.

  • Improve engineering standards, tooling, and processes.

  • To actively participate and monitor the Nvidia Inception Program cooperation. Become an expert at the Nvidia DeepStream architecture.

  • Always stay up-to-date with the latest technologies in machine learning, computer vision or media technologies that can give us an edge.

  • Strong skill base in system architecture and code reviews.

  • Good planning skills, people management  and influencing skills.
  • To make machine learning our secret weapon and our DNA.

  • Designing and implementing state-of-the-art machine learning techniques to solve a variety of different problems. Formulating and running experiments, and improving algorithms based on results.

  • Building efficient and reusable applications and abstractions, identify and communicate best practices on data sets and machine learning implementations. This includes models on Scene detection, Camera Operations, and Automatic highlights.

  • Computer vision research on Ball- and Player tracking, and for smart camera framing.

  • Help enhance our product on Camera Control Automation with PID control of robotic arms and< automatic real-time production/editing.

  • Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery.

  • Designing and developing high-quality software alongside with our research, data science and product teams working in an Agile team.

  • Reviewing documents, designs, and code done by others and provide constructive feedback.

  • Analyze and improve the performance, scalability, and stability of the product.

  • Improve engineering standards, tooling, and processes.

  • To actively participate and monitor the Nvidia Inception Program cooperation. Become an expert at the Nvidia DeepStream architecture.

  • Always stay up-to-date with the latest technologies in machine learning, computer vision or media technologies that can give us an edge.

  • Strong skill base in system architecture and code reviews.

  • Good planning skills, people management  and influencing skills.
  • To make machine learning our secret weapon and our DNA.

  • Designing and implementing state-of-the-art machine learning techniques to solve a variety of different problems. Formulating and running experiments, and improving algorithms based on results.

  • Building efficient and reusable applications and abstractions, identify and communicate best practices on data sets and machine learning implementations. This includes models on Scene detection, Camera Operations, and Automatic highlights.

  • Computer vision research on Ball- and Player tracking, and for smart camera framing.

  • Help enhance our product on Camera Control Automation with PID control of robotic arms and< automatic real-time production/editing.

  • Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery.

  • Designing and developing high-quality software alongside with our research, data science and product teams working in an Agile team.

  • Reviewing documents, designs, and code done by others and provide constructive feedback.

  • Analyze and improve the performance, scalability, and stability of the product.

  • Improve engineering standards, tooling, and processes.

  • To actively participate and monitor the Nvidia Inception Program cooperation. Become an expert at the Nvidia DeepStream architecture.

  • Always stay up-to-date with the latest technologies in machine learning, computer vision or media technologies that can give us an edge.

  • Strong skill base in system architecture and code reviews.

  • Good planning skills, people management  and influencing skills.
  • To make machine learning our secret weapon and our DNA.

  • Designing and implementing state-of-the-art machine learning techniques to solve a variety of different problems. Formulating and running experiments, and improving algorithms based on results.

  • Building efficient and reusable applications and abstractions, identify and communicate best practices on data sets and machine learning implementations. This includes models on Scene detection, Camera Operations, and Automatic highlights.

  • Computer vision research on Ball- and Player tracking, and for smart camera framing.

  • Help enhance our product on Camera Control Automation with PID control of robotic arms and< automatic real-time production/editing.

  • Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery.

  • Designing and developing high-quality software alongside with our research, data science and product teams working in an Agile team.

  • Reviewing documents, designs, and code done by others and provide constructive feedback.

  • Analyze and improve the performance, scalability, and stability of the product.

  • Improve engineering standards, tooling, and processes.

  • To actively participate and monitor the Nvidia Inception Program cooperation. Become an expert at the Nvidia DeepStream architecture.

  • Always stay up-to-date with the latest technologies in machine learning, computer vision or media technologies that can give us an edge.

  • Strong skill base in system architecture and code reviews.

  • Good planning skills, people management  and influencing skills.
  • Using Asana for all tasks and action management. Help us standardize and simplify workflow and processes around the tools we use to better align the teams between our offices. (We love Asana).

  • Working at OZ is about being "All-In". We expect anyone that joins OZ to put any other ventures to the side. No other freelancing jobs. Our journey as a team is about creating one of the most revolutionary companies the sports industry has ever seen.

  • Critical to be fluent in English, as OZ is a multinational business with English as the standard company language. All tasks and project documentation is kept in English.

  • Ability to communicate and project management across borders, and different cultures, as OZ is a multinational with commercial activities around the world.

  • We are in sports, so our events are at odd hours and over weekends. We need to stay all-in on flexible working hours.

  • There is little room for egos. It's about 'We' rather than 'I'. We are all servants of our customers. As a startup, titles are only to help us on external functions, rather than internal. Ideas and excellence can come from anywhere within the company. We like to be coaches and mentors to each other.

  • As a team, we're making the most out of suites like Asana for GTD (Getting Things Done), Google Apps (Docs, Sheets, etc), GitHub, and other collaborative
    tools. It's all about collaboration.

  • The OZ Engineering Department is involved in all Engineering Activities at OZ. From Product Development to R&D and we are on a mission to build the World's Best Sports Platform to experience great production of sports leagues, from production to distribution.

  • We take pride in the diversity of our employees, valuing the special experience and expertise that people from different backgrounds bring to our business.
  • Using Asana for all tasks and action management. Help us standardize and simplify workflow and processes around the tools we use to better align the teams between our offices. (We love Asana).

  • Working at OZ is about being "All-In". We expect anyone that joins OZ to put any other ventures to the side. No other freelancing jobs. Our journey as a team is about creating one of the most revolutionary companies the sports industry has ever seen.

  • Critical to be fluent in English, as OZ is a multinational business with English as the standard company language. All tasks and project documentation is kept in English.

  • Ability to communicate and project management across borders, and different cultures, as OZ is a multinational with commercial activities around the world.

  • We are in sports, so our events are at odd hours and over weekends. We need to stay all-in on flexible working hours.

  • There is little room for egos. It's about 'We' rather than 'I'. We are all servants of our customers. As a startup, titles are only to help us on external functions, rather than internal. Ideas and excellence can come from anywhere within the company. We like to be coaches and mentors to each other.

  • As a team, we're making the most out of suites like Asana for GTD (Getting Things Done), Google Apps (Docs, Sheets, etc), GitHub, and other collaborative
    tools. It's all about collaboration.

  • The OZ Engineering Department is involved in all Engineering Activities at OZ. From Product Development to R&D and we are on a mission to build the World's Best Sports Platform to experience great production of sports leagues, from production to distribution.

  • We take pride in the diversity of our employees, valuing the special experience and expertise that people from different backgrounds bring to our business.
  • Using Asana for all tasks and action management. Help us standardize and simplify workflow and processes around the tools we use to better align the teams between our offices. (We love Asana).

  • Working at OZ is about being "All-In". We expect anyone that joins OZ to put any other ventures to the side. No other freelancing jobs. Our journey as a team is about creating one of the most revolutionary companies the sports industry has ever seen.

  • Critical to be fluent in English, as OZ is a multinational business with English as the standard company language. All tasks and project documentation is kept in English.

  • Ability to communicate and project management across borders, and different cultures, as OZ is a multinational with commercial activities around the world.

  • We are in sports, so our events are at odd hours and over weekends. We need to stay all-in on flexible working hours.

  • There is little room for egos. It's about 'We' rather than 'I'. We are all servants of our customers. As a startup, titles are only to help us on external functions, rather than internal. Ideas and excellence can come from anywhere within the company. We like to be coaches and mentors to each other.

  • As a team, we're making the most out of suites like Asana for GTD (Getting Things Done), Google Apps (Docs, Sheets, etc), GitHub, and other collaborative
    tools. It's all about collaboration.

  • The OZ Engineering Department is involved in all Engineering Activities at OZ. From Product Development to R&D and we are on a mission to build the World's Best Sports Platform to experience great production of sports leagues, from production to distribution.

  • We take pride in the diversity of our employees, valuing the special experience and expertise that people from different backgrounds bring to our business.
  • Using Asana for all tasks and action management. Help us standardize and simplify workflow and processes around the tools we use to better align the teams between our offices. (We love Asana).

  • Working at OZ is about being "All-In". We expect anyone that joins OZ to put any other ventures to the side. No other freelancing jobs. Our journey as a team is about creating one of the most revolutionary companies the sports industry has ever seen.

  • Critical to be fluent in English, as OZ is a multinational business with English as the standard company language. All tasks and project documentation is kept in English.

  • Ability to communicate and project management across borders, and different cultures, as OZ is a multinational with commercial activities around the world.

  • We are in sports, so our events are at odd hours and over weekends. We need to stay all-in on flexible working hours.

  • There is little room for egos. It's about 'We' rather than 'I'. We are all servants of our customers. As a startup, titles are only to help us on external functions, rather than internal. Ideas and excellence can come from anywhere within the company. We like to be coaches and mentors to each other.

  • As a team, we're making the most out of suites like Asana for GTD (Getting Things Done), Google Apps (Docs, Sheets, etc), GitHub, and other collaborative
    tools. It's all about collaboration.

  • The OZ Engineering Department is involved in all Engineering Activities at OZ. From Product Development to R&D and we are on a mission to build the World's Best Sports Platform to experience great production of sports leagues, from production to distribution.

  • We take pride in the diversity of our employees, valuing the special experience and expertise that people from different backgrounds bring to our business.
  • Using Asana for all tasks and action management. Help us standardize and simplify workflow and processes around the tools we use to better align the teams between our offices. (We love Asana).

  • Working at OZ is about being "All-In". We expect anyone that joins OZ to put any other ventures to the side. No other freelancing jobs. Our journey as a team is about creating one of the most revolutionary companies the sports industry has ever seen.

  • Critical to be fluent in English, as OZ is a multinational business with English as the standard company language. All tasks and project documentation is kept in English.

  • Ability to communicate and project management across borders, and different cultures, as OZ is a multinational with commercial activities around the world.

  • We are in sports, so our events are at odd hours and over weekends. We need to stay all-in on flexible working hours.

  • There is little room for egos. It's about 'We' rather than 'I'. We are all servants of our customers. As a startup, titles are only to help us on external functions, rather than internal. Ideas and excellence can come from anywhere within the company. We like to be coaches and mentors to each other.

  • As a team, we're making the most out of suites like Asana for GTD (Getting Things Done), Google Apps (Docs, Sheets, etc), GitHub, and other collaborative
    tools. It's all about collaboration.

  • The OZ Engineering Department is involved in all Engineering Activities at OZ. From Product Development to R&D and we are on a mission to build the World's Best Sports Platform to experience great production of sports leagues, from production to distribution.

  • We take pride in the diversity of our employees, valuing the special experience and expertise that people from different backgrounds bring to our business.

To apply please email your cover letter and CV, with references, to jobs@oz.com. Feel free to attach anything else of relevance to your application.

OZ mission is bringing immersive experiences to sports fans across the globe.

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