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Lead Engineer, Foundation Models - San Francisco California
Company: Outdefine Location: San Francisco, California
Posted On: 05/17/2024
As a skilled professional seeking career growth, you deserve access to the best job opportunities available. Join Outdefine's Trusted community today and apply to premier job openings with leading enterprises globally. Set your own rate, keep all your pay, and enjoy the benefits of a fee-free experience. Lead Engineer, Foundation ModelsLabelbox Saas 51-200 San Francisco, CA, USA Apply Now About the jobOverview:Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.About The RoleAs the Foundation Models Lead, you will lead research and development of applying foundation models to various real world customer problems. You will be responsible for prototyping and developing production grade tools for fine tuning and alignment with human or AI feedback. Your comprehensive expertise in machine learning, natural language processing, and deep learning, and how various Foundation Models embody and excel at these technologies will be essential in driving the success of our AI initiatives in terms of roadmap definition, architecture decisions and superb execution, delivering products that meet the needs of our customers.About You - Degree in Computer Science, Machine Learning, or a related field.
- Proven experience in developing and implementing large-scale systems that integrate with Foundation Models for real-world applications.
- Working knowledge of machine learning algorithms, natural language processing, and deep learning frameworks.
- Experience with various types of foundation models and multi-modal models.
- Proficiency in programming languages such as Python, Typescript, or Java.
- Experience working with cloud computing platforms and data processing technologies.
- Excellent communication and collaboration skills.
- Strong creativity, problem-solving ability, attention to detail.Your Day to Day
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