Anthropic
Applied AI Finetuning Engineer
Anthropic, San Francisco, California, United States, 94199
About the role
As an Applied AI Finetuning Engineer, you will drive the adoption of frontier AI by developing bespoke and fine-tuned LLM solutions for top enterprises. You’ll leverage your customer-facing engineering experience and technical skills to help customize Anthropic's frontier LLMs to the needs of cutting-edge customer applications. In collaboration with the Sales, Product, and Engineering teams, you’ll help enterprise partners incorporate leading-edge AI systems into their products. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities:
Design and execute high-quality finetuning projects for critical customers, delivering customized AI solutions with exceptional reliability Collaborate closely with ML researchers to develop and implement cutting-edge finetuning techniques Leverage advanced machine learning skills to optimize finetuning strategies and enhance model performance Partner with account executives to understand customer requirements and develop tailored finetuning solutions Serve as the primary technical advisor for customers on finetuning projects, offering guidance on integration, deployment, and best practices Stay current with the latest advancements in AI and finetuning techniques for large language models Travel occasionally to customer sites for workshops and implementation support Establish a shared vision for creating solutions that enable beneficial and safe AI Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities You may be a good fit if you have:
3+ years of experience training or finetuning deep learning models 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer Designed novel and innovative solutions for technical platforms in a developing business area Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred) Recent experience building production systems with large language models The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems A love of teaching, mentoring, and helping others succeed Deadline to apply: None. Applications will be reviewed on a rolling basis.
#J-18808-Ljbffr
As an Applied AI Finetuning Engineer, you will drive the adoption of frontier AI by developing bespoke and fine-tuned LLM solutions for top enterprises. You’ll leverage your customer-facing engineering experience and technical skills to help customize Anthropic's frontier LLMs to the needs of cutting-edge customer applications. In collaboration with the Sales, Product, and Engineering teams, you’ll help enterprise partners incorporate leading-edge AI systems into their products. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities:
Design and execute high-quality finetuning projects for critical customers, delivering customized AI solutions with exceptional reliability Collaborate closely with ML researchers to develop and implement cutting-edge finetuning techniques Leverage advanced machine learning skills to optimize finetuning strategies and enhance model performance Partner with account executives to understand customer requirements and develop tailored finetuning solutions Serve as the primary technical advisor for customers on finetuning projects, offering guidance on integration, deployment, and best practices Stay current with the latest advancements in AI and finetuning techniques for large language models Travel occasionally to customer sites for workshops and implementation support Establish a shared vision for creating solutions that enable beneficial and safe AI Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities You may be a good fit if you have:
3+ years of experience training or finetuning deep learning models 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer Designed novel and innovative solutions for technical platforms in a developing business area Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred) Recent experience building production systems with large language models The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems A love of teaching, mentoring, and helping others succeed Deadline to apply: None. Applications will be reviewed on a rolling basis.
#J-18808-Ljbffr