Innovation. Creativity. Collaboration. Problem-solving. Excitement!
This Silicon Valley-based team is at the heart of transformation and revolution in their industry. Here your influence will directly impact the digital future of a globally pioneering company.
What do they value the most here? People. They’re seen as “the best place to work in the Bay Area” amongst organizations of their size - moving the industry forwards on both a technical and social front. They take on passionate, mission-driven, talented and supportive individuals. Your contributions are truly respected, you'll be visible, you'll be consistently given opportunities to share your challenges and innovative perspectives. You will get the chance to progress here… this might not just be your next job, but the one after that too!
If you are skilled at managing and optimizing synthetic data pipelines, with a specific focus on labelling for computer vision, you will love this role. You’ll have experience in designing and implementing data infrastructure, ensuring high-quality labelled datasets, with a willingness to collaborate internally to support the organization’s CV initiatives.
You’ll have a refreshing blend of a fast-moving start-up environment with support from an established world-leading parent company. The blended environment means that you will be part of a fully cross-functional team and liaise daily with ML Engineers, Vision Engineers, other Data Engineers, and be able to seamlessly work with everyone across the whole company.
As a proven Senior Data Engineer with a focus on computer vision and data labelling, you should have:
- Computer Science & Data Engineering Qualification (ideally Bachelors), and 5+ years of experience in a related field – ideally with data annotation tool and frameworks experience.
- Programming skills (Python, SQL) and distributed computing experience; with proficiency in data modelling, ETL processes, and data pipeline design.
- Knowledge of OLTP databases (e.g. Postgresql), Cloud Platforms (e.g. Azure, GCP, AWS), Workflow Management Tools (e.g. Dagster, Airflow) and tools that simplify data movement (e.g. Airbyte).
What else is in it for you?
- Hybrid, flexible working (2 days in the office per week) – you’ll also be fully fed and catered for on your office days!
- Bonus incentives, Health/Medical Insurance, Paid time-off and holidays, 401k, Flexible Spending Account, Health-Saving Account, Fully equipped on-site gym with exercise classes available (including yoga).
- AND another incredible stand-out benefit that has huge monetary value, which I am able to share upon your application for the role (it will give away too much if I share it now).
For an informal chat around the day-to-day activities and expectations in this position, please call/Whatsapp David Thomas-Catalan on 07563890950 or 024 7527 2085 (ext.302). Alternatively please email david@techwavesrecruitment.co.uk
Don’t worry if your C.V. isn’t up to date. Just send me what you have, and we can deal with that later. Everyone will get a response.
Please note: We will not be able to offer VISA sponsorship for this role.
