"The AI company that's revolutionizing Hollywood" Flawless is shattering the boundaries of traditional filmmaking with its groundbreaking suite of Gen AI film editing tools. Our mission is to empower filmmakers with cutting-edge technology that allows creativity without compromise, expands storytelling possibilities, and delivers unparalleled visual and emotional experiences. We are also setting new standards in ethical AI by creating the Artistic Rights Treasury (A.R.T.), a rights management solution designed to protect artists and rights holders within the Entertainment landscape. Reports to: ML Engineering Manager What we are looking for:A Senior Data Engineer, who is passionate about building platforms that massively reduce lead time from bringing Machine Learning research to production. The vision of the Data team is to enable our cross functional ML teams to spend most of their time solving tricky ML problems rather than dealing with data engineering/infra/ops challenges.You will lead on setting the bar for the quality and accessibility of our data, working to source and catalogue high quality datasets and build automated annotation pipelines. You have a solid background in core software engineering principles, are happy deploying & managing infrastructure, and have a good understanding of the difficulties faced by research scientists and ML engineers.
Responsibilities
Building & maintaining data annotation pipelines, establishing the workflow for continuous data delivery and annotation.
Work with our ML teams to build data transformation pipelines for large scale computer vision datasets
Establish robust data quality metrics and drive a continual improvement of data quality and diversity\
Drive standardisation of data management and exchange.
Support Flawless data sourcing efforts, license management and data governance strategy.
Working with our Platform team, supporting efficient data storage and transportation and access.
Qualifications
Strong analytical background: BSc or MSc in data engineering/machine learning or related topics
Programming experience with Python.
Experience creating and managing large scale datasets for machine learning, including establishing quality metrics.
Experience setting up infrastructure at scale for ML / Data Teams, including CI/CD & Data pipelines
Experience working with cloud platforms (AWS, GCP, Azure) and familiarity with infrastructure as code.
Preferred Qualifications
Experience within an early-stage data function, having played a key role in helping the data team develop into a more mature function during your tenure
Experience working with the AWS Data Stack
Experience working with large scale data, preferably in the Computer Vision domain
Experience with multi-stage data transform pipelines, and large model training with 1000s of hours of content
Interview Process:At Flawless, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together. Our interview process is four rounds with some casual Zoom (or in-person) coffee in between to get to know each other: - Recruiting Screen: 30-45 minute call with our recruiting team (We want to discuss your background, interests and motivations as well as the practical details and make sure that Flawless would be a good fit for you)- Hiring Manager Screen: 45-60 minute zoom interview - you will meet with our Platform ENgineering Leadership to discuss your technical expertise.- Reverse System Design: 60 Minute zoom interview where you will meet 1-2 members of the Platform Engineering team, through a screen share format talking through experience in data transformation.- Final Interview: 60 Minute onsite interview - Use this time to meet other ML members on the team, discussing data operations, and ML Operations. Your Recruiter and hiring manager will be your main point of contact and prepare you for interviews. You’ll meet 4 to 6 people from across the business. (We make sure that you have time in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback! Why work at Flawless?You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that’s caring, creative and collaborative. In addition to this, you'll also receive: - Autonomy- A hybrid working environment- Competitive Salary- Stock Options Flawless is proud to emphasize an equal opportunity, safe environment for people to do their best work. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
