Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
This information is not specified in the job description.
Required skills include strong skills in NLP, LLMs, and deep learning; solid background in algorithms, data structures, and object-oriented programming; experience with cloud technology stacks like AWS or GCP; and building products with LLMs including evaluation and experimentation.
At least 1-3 years of model training, deployment, and maintenance experience in a production environment is required, along with a PhD or Masters in Computer Science or a related field.
Strong candidates will have 1-3 years of production ML experience, advanced skills in NLP/LLMs/deep learning, cloud experience, and a graduate degree in Computer Science; nice-to-haves include large-scale generative AI work, vision-language model expertise, and published ML research.
AI platform for data and models
Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.