We are building the future of creative tools, empowering people to create anything they can imagine with AI. Our cutting-edge research in generative AI and intuitive product experiences have set the industry standard, and we’re looking for exceptional talent to join us on this journey.
About the Role:
As a Director of Research Engineering, you’ll lead a team of talented Research Engineers focusing on building and maintaining the datasets that power our models.
You’ll play a crucial role in defining and executing our strategy for data collection, curation, and infrastructure, ensuring the availability of high-quality, diverse datasets essential for advancing our generative AI research and product development.
What you’ll do:
- Lead and mentor a team of Research Engineers, fostering a culture of innovation, collaboration, and excellence in dataset engineering.
- Oversee the design, development, and maintenance of large-scale, high-quality datasets essential for training and evaluating our generative models.
- Establish best practices for data collection, annotation, curation, and validation, ensuring data integrity and ethical sourcing.
- Collaborate closely with research scientists and product teams to understand their data needs and translate them into actionable engineering strategies.
- Drive the adoption of cutting-edge tools and methodologies for data management, versioning, and processing.
- Contribute to the strategic planning and roadmap development for the Datasets team, aligning with company-wide objectives.
- Stay abreast of the latest advancements in dataset engineering, machine learning, and AI ethics, incorporating relevant insights into our practices.
What you’ll need:
- Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience.
- 7+ years of experience in research engineering, data engineering, or a related role, with at least 3 years in a leadership or management position.
- Strong background in machine learning and deep learning fundamentals, particularly with large-scale generative models.
- Proficiency in Python and experience with relevant data processing libraries (e.g., Pandas, NumPy) and ML frameworks (e.g., PyTorch, TensorFlow).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed data processing technologies (e.g., Spark).
- Demonstrated ability to design and implement robust data pipelines and infrastructure for high-throughput, low-latency applications.
- Excellent communication, interpersonal, and leadership skills, with a proven ability to mentor and develop engineers.
- Experience with data annotation platforms and quality control processes.
- A passion for building groundbreaking creative tools and contributing to the responsible development of AI.
Runway values diversity and is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or veteran status.
The cash compensation for this role ranges from C$540,000 to C$661,500.
