Scale AI · 1 day ago
Director, Applied AI Engineering- Enterprise
Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The Director of Applied AI Engineering will manage a team of Applied AI Engineers and ML Engineers, guiding them to train state-of-the-art models and build innovative products for enterprise clients.
AI InfrastructureArtificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
Responsibilities
Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers
Manage a team of 5+ Applied AI Engineers / ML Engineers
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
Create state of the art techniques to integrate tool-calling into production-serving LLMs
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
Qualification
Required
At least 3 years of model training, deployment and maintenance experience in a production environment
At least 1-2 years of management or tech leadership experience
Strong skills in NLP, LLMs and deep learning
Solid background in algorithms, data structures, and object-oriented programming
Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
PhD or Masters in Computer Science or a related field
Preferred
Experience in dealing with large scale AI problems, ideally in the generative-AI field
Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc
Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc
Strong written and verbal communication skills to operate in a cross functional team environment
Benefits
Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
A commuter stipend
Company
Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
H1B Sponsorship
Scale AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (82)
2024 (54)
2023 (29)
2022 (17)
2021 (10)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
$15.9BKey Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B
Recent News
Crunchbase News
2026-01-07
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