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Scale 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.Abs 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 DataScale 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
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 AIScale 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
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
San Francisco, CA, United States
Scales Generative AI ML team develops models and services to improve quality & efficiency of the data engine that powers training and evaluation of the most advanced large language models on earth. Further, we conduct research on models, supervision, and algorithms that advance frontier models for Scales applied-ML teams and the broader AI communit
Job Source: Scale AIHyper Online
San Francisco, CA, United States
[Full Time] Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) at Hyper Online (United States) | BEAMSTART Jobs Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) Hyper Online United States Date Posted 02 Aug, 2023 Work Location San Francisco, United States Salary Offered Not Specified Job Type
Job Source: Hyper OnlineSan 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 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 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 $176,000 - $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, Generative AI jobs in San Francisco, CA, United States
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