Machine Learning Scientist - Data Automation
Description For Machine Learning Scientist - Data Automation
Encord is building the AI infrastructure of the future, focusing on solving the challenge of data quality in AI applications. As a Machine Learning Scientist with a focus on Data Automation, you'll play a critical role in helping customers identify and solve bottlenecks in their data development efforts. You'll work across various industries such as healthcare, geospatial, sports analytics, and surveillance, ensuring they can efficiently harness the power of our platform.
In this role, you'll be applying state-of-the-art technologies to empower customers, solving complex problems across multiple domains. Tasks include label automation at scale, intelligent data routing, data sampling, and more, all aimed at making customers' machine learning projects thrive. You'll follow the latest research and apply cutting-edge methods to improve customer outcomes.
This position offers significant growth potential, with opportunities to evolve into senior roles like Research Scientist or Senior Solutions Engineer. You'll be part of a talented and ambitious team of 60, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, Encord is one of the fastest-growing companies in the AI space.
Key responsibilities include uncovering and solving data development challenges, working on cutting-edge ML projects, optimizing data pipelines, and collaborating with cross-functional teams. The ideal candidate will have a strong academic background in machine learning, proficiency with frameworks like PyTorch and TensorFlow, excellent problem-solving skills, and strong communication abilities.
Join Encord to be part of a fast-growing startup with a clear mission and vision, working on real-world AI use cases across various industries. This role offers hands-on experience with cutting-edge technologies, ownership of projects, and the opportunity to shape the future of AI infrastructure.
Responsibilities For Machine Learning Scientist - Data Automation
- Uncover, generalize, and solve data development challenges across multiple customers
- Follow the latest machine learning research to identify and apply new methods that improve customer outcomes
- Work on cutting-edge machine learning projects, starting with computer vision and expanding into multi-modal problems
- Ensure customers have the best tools to succeed with their AI tasks by refining and optimizing their data pipelines
- Collaborate closely with cross-functional teams to iterate on customer feedback and deliver impactful features
Requirements For Machine Learning Scientist - Data Automation
- Strong academic background in machine learning, with hands-on experience in computer vision
- Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV
- Quick learner with a structured, organized approach to problem-solving
- Excellent communication skills
- Ambitious and self-motivated, with a proven track record of top performance
Benefits For Machine Learning Scientist - Data Automation
- 25 days annual leave + public holidays
- Annual learning and development budget
- Company lunches twice a week
- Regular socials, including bi-annual off-sites
