From the pit crew searching for the ultimate repeatable pit stop, to the inspiration of the designers, the application of engineers and the herculean efforts of an army of fabricators and machinists. A good salary is just the start, there are many other benefits too such as our bonus scheme, private health care cover, life assurance scheme, workplace nursery, company contributed pension scheme, on site gym & fitness classes, free food, and a cycle to work scheme; but above all, the job satisfaction doesn't get any better than the feeling of making a real contribution to the function of our grand prix cars.

Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. Support business teams in explaining and defending our measurement methodologies broadly to customers. g. , scikit-learn, TensorFlow, PyTorch) and techniques (e. More About Cint In June 2021, Cint acquired Berlin-based GapFish - the world's largest ISO certified online panel community in the DACH region - and in January 2022, completed the acquisition of US-based Lucid - a programmatic research technology platform that provides access to first-party survey data in over 110 countries. More About Cint In June 2021, Cint acquired Berlin-based GapFish - the world's largest ISO certified online panel community in the DACH region - and in January 2022, completed the acquisition of US-based Lucid - a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. This may occur in the form of images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. About the Team & Role The AI Data Service and Eco Operations (ADSEO) team is responsible for the operation of security model training, and iteration under TikTok and other international products, to ensure product security and create a good atmosphere for content creation and community interaction. In ensuring the goals of the project are achieved, you need to continuously optimize project processes and improve the efficiency of project implementation through analysis of business conditions and regularly communicate with cross-functional and regional teams. -Prepare regular project updates to communicate essential milestones and tasks to and improve the overall project experience in the business domain. -Interest in social content products and a knack/eye for social trends; Previous experience in Social Media / Internet / Technology. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. This may occur in the form of images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. As a Project Specialist in the Linguistic Intelligence team, you will be the project owner driving end to end project management (from requirement gathering to project closure) related to large-volume data annotation supporting multi-language model development, cross-language understanding, language identification and language research. - Deeply understand the implementation of frontline labelling teams and work with the demand side to develop and optimise labelling guidelines and SOPs. Preferred Qualifications: - Working experience in labelling, Quality management and training experience will be an advantage. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

About the team eCommerce Data provides the department and the business the means to see what is working and what is not by drawing data and analysing patterns of shopping on our site and in general. Work with teams from around the business to understand the business problem and own the technical solution, identifying further opportunities to deliver value along the way. At the last count we have over 500 stores, plus the Next Online and it's now possible to buy on-line from over 70 countries around the world!

You will collaborate with the Lead Data Scientist to support business machine learning initiatives, maintain and enhance existing models, analyse data for actionable insights, and contribute to the development of new machine learning solutions. Work with the developer team on data and statistics-related tasks to support various projects, using Agile or Kanban methodologies. Strong problem-solving and communication skills, with the ability to quickly learn new domains. Join our expert team in survey design, sampling methodologies, and data science, we leverage cutting-edge technology to provide our clients with seamless access to real people and unparalleled insights. Profiles currently holds a 10% share in the $3b panel industry but we have ambition, a robust 3-year business plan and the financial backing of our private equity owners (Bain Capital) to grow to be the #1 player in this sector. We're dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society.

Adept at managing system implementations across various stages of development, the Senior Data Scientist, Recommendations should be as comfortable with early-stage Proof of Concept advocacy, project management, and internal workflow creation, as with introducing ML Ops practices and enhancing existing projects with more sophisticated methods. This includes pipeline design and continuous improvement schemes through machine learning Able to effectively manage existing code base, document past experiences, automate processes, and create feedback loops Lead junior/mid data scientists inside/outside of the team who works on recommendation projects. Experience with the management of ML code base and experimentation result in an organized and efficient manner. Practical experience in ML ops, such as Python packaging, Docker/Kubernetes, CI/CD, deployment and monitoring of ML models' performance. With unconscious bias training, D&I workshops and a variety of initiatives to give our employees the opportunity to be heard and be part of that change to achieve real equality.

We work as a team, and we're proud of the difference we make to customers, local communities, and towards a sustainable future for the world. Promote a culture of teamwork, innovation, and collaboration within the wider data and commercial functions. A commitment to fostering a diverse and inclusive team environment where everyone can thrive. We encourage everyone to be themselves at work because we know that's how we do our best, for each other, for our customers, for the communities where we work, and for our careers.

Although starting narrow with a single domain in mind, you'll progressively work across a variety of industries and domains such as healthcare, geospatial, sports analytics, and surveillance, ensuring that customers can efficiently harness synthetic data to improve their AI models. Developing scalable and novel ways to condition data generation based on information from our data development platform. Ambitious and self-motivated, with a proven track record of top performance in academic or professional settings. At Encord, you'll have the unique opportunity to be part of a fast-growing startup with a clear mission and vision.

We believe AI is at a stage similar to the early days of computing or the internet-where the potential is clear, but the surrounding tools and processes are still catching up. Work on cutting-edge machine learning projects, starting with computer vision and expanding into multi-modal problems like document analysis, and combinations of audio, video, and text. Ambitious and self-motivated, with a proven track record of top performance in academic or professional settings. Familiarity with automation tools (Cloud functions, CRON jobs, DataOps). You'll work on real-world AI use cases across a variety of industry verticals and get hands-on experience with cutting-edge computer vision and deep learning technologies.