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Scale AI, Inc.
San Francisco, CA, United States
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 Enterprise Generative AI team focuses on building generative ML solutions for some of t
Job Source: Scale AI, Inc.Scale AI
San Francisco, CA, United States
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 Enterprise Generative AI team focuses on building generative ML solutions for some of t
Job Source: Scale AIScale AI, Inc.
San Francisco, CA, United States
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
Job Source: Scale AI, Inc.Zoom Corporation
San Francisco, CA, United States
What you can expect As a Machine Learning Platform Engineer, you'll develop and manage Zoom's AI infrastructure and framework. Enhance AI training, deployment, and operation with improved functionality, capacity, scalability, and reliability. Your role is pivotal in shaping and optimizing Zoom's AI capabilities. About the Team Seeking a passionate
Job Source: Zoom CorporationScale AI, Inc.
San Francisco, CA, United States
Scale's Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF/RLAIF, data generation, model evaluation, safety, and alignment. As the Manager of the Generative AI team, you will be responsible for managing and leading a group of talented researchers and engineers. Your primary focus wil
Job Source: Scale AI, Inc.Apple
San Francisco, CA, United States
AIML - Machine Learning Engineer, Machine Learning Platform & Intelligence San Francisco,California,United States Machine Learning and AI Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling wha
Job Source: AppleScale AI
San Francisco, CA, United States
Scale's Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF/RLAIF, data generation, model evaluation, safety, and alignment. As the Manager of the Generative AI team, you will be responsible for managing and leading a group of talented researchers and engineers. Your primary focus wil
Job Source: Scale AIAbs Data
San Francisco, CA, United States
Job title: Manager, Machine Learning Research Engineer, Generative AI Company: Scale AI Job description : Scale’s Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF/RLAIF, data generation, model evaluation, safety, and alignment. As the Manager of the Generative AI team, you wil
Job Source: Abs DataSan Francisco, CA, United States
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 Enterprise Generative AI team focuses on building generative ML solutions for some of the largest companies in the world.
Your focus will be on developing Models as a Service for our enterprise partners by optimizing LLMs through finetuning, RAG or other 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:
Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
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, LLMs 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 environment
Nice to haves:
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, kuberflow, TensorFlow, etc.
Strong written and verbal communication skills to operate in a cross functional team environment
The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $190,000 - $240,960. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
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Machine Learning Engineer, Enterprise Generative AI Platform jobs in San Francisco, CA, United States
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