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Machine Learning Engineer, Generative AI - San Francisco California
Company: Scale AI, Inc. Location: San Francisco, California
Posted On: 05/04/2024
Performant model code, high quality data, and robust evaluation methods form the foundation of an AI system. Scale's leading end-to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement. Scale's Generative AI team focuses on building models to accelerate AI adoption for some of the largest companies in the world.Your focus will be on developing Models as a Service using a variety of Machine Learning techniques. You will be involved end-to-end from coordinating with operations to create high quality datasets to productionizing models for our customers. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!You will: - Apply state of the art models, developed both internally and from the community, in production to solve problems for our customers and data labelers.
- Work with product and research teams to identify opportunities for ongoing and upcoming services.
- Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
- Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.Ideally you'd have:
- At least 3 to 5 years of model training, deployment and maintenance experience in a production environment
- Strong skills in NLP, LLM and deep learning
- Solid background in algorithms, data structures, and object-oriented programming
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environmentNice to haves:
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