Jointaro
Anthropic
Jointaro - Seattle, Washington, us, 98127
Work at Jointaro
Overview
- View job
Overview
Description For Research Engineer, Pre-training Anthropic is seeking a Research Engineer to join their Pretraining team, focusing on developing the next generation of large language models. This role sits at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. The position involves working on high-impact projects like optimizing novel attention mechanisms, comparing compute efficiency of Transformer variants, and scaling distributed training to thousands of GPUs.
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below. The role requires an advanced degree in Computer Science or Machine Learning, with strong software engineering skills and expertise in Python and deep learning frameworks. The ideal candidate will balance research goals with practical engineering constraints while working in a collaborative environment that values communication and ethical considerations. Anthropic offers a competitive compensation package ranging from $315,000 to $340,000 USD annually, along with comprehensive benefits including medical insurance, parental leave, and flexible working hours. The position follows a hybrid work model requiring 25% in-office presence in either San Francisco, Seattle, or New York City. The company operates as a single cohesive team focused on large-scale AI research efforts, emphasizing impact over smaller, specific puzzles. They view AI research as an empirical science and value collaborative work, pair programming, and a strong focus on AI safety and ethics. The role offers an opportunity to work on ambitious goals for AI safety while contributing to long-term positive outcomes in the field. This position is ideal for candidates who are passionate about AI safety, enjoy collaborative research, and want to contribute to ensuring that transformative AI systems are aligned with human interests. The team culture emphasizes empirical research, open discussion, and a commitment to developing safe and beneficial AI systems. Last updated 3 months ago Responsibilities For Research Engineer, Pre-training
Conduct research and implement solutions in model architecture, algorithms, data processing Independently lead small research projects Design, run, and analyze scientific experiments Optimize and scale training infrastructure Develop and improve dev tooling Contribute to entire stack from low-level optimizations to high-level model design Requirements For Research Engineer, Pre-training Python Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field Strong software engineering skills with proven track record Expertise in Python and deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning Strong problem-solving skills and results-oriented mindset Care about societal impacts of work Benefits For Research Engineer, Pre-training Medical Insurance Vision Insurance Competitive compensation and benefits Optional equity donation matching Generous vacation and parental leave Office space in San Francisco Jobs Related To Anthropic Research Engineer, Pre-training Research Engineer position at Anthropic focusing on pre-training large language models, combining cutting-edge AI research with practical engineering implementation. Lead the design and implementation of AI solutions as an AI Architect at Apple, focusing on GenAI orchestration and ML systems integration for the sales organization. Senior Machine Learning Engineer role at Apple focusing on optimizing and scaling foundation models for various Apple services, offering competitive compensation and comprehensive benefits. AI Engineer position at Apple focusing on implementing LLMs and ML models for sales intelligence Senior Machine Learning Engineer role at Apple Ads, focusing on building data products and predictive models to improve advertising performance across Apple Services.
#J-18808-Ljbffr
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below. The role requires an advanced degree in Computer Science or Machine Learning, with strong software engineering skills and expertise in Python and deep learning frameworks. The ideal candidate will balance research goals with practical engineering constraints while working in a collaborative environment that values communication and ethical considerations. Anthropic offers a competitive compensation package ranging from $315,000 to $340,000 USD annually, along with comprehensive benefits including medical insurance, parental leave, and flexible working hours. The position follows a hybrid work model requiring 25% in-office presence in either San Francisco, Seattle, or New York City. The company operates as a single cohesive team focused on large-scale AI research efforts, emphasizing impact over smaller, specific puzzles. They view AI research as an empirical science and value collaborative work, pair programming, and a strong focus on AI safety and ethics. The role offers an opportunity to work on ambitious goals for AI safety while contributing to long-term positive outcomes in the field. This position is ideal for candidates who are passionate about AI safety, enjoy collaborative research, and want to contribute to ensuring that transformative AI systems are aligned with human interests. The team culture emphasizes empirical research, open discussion, and a commitment to developing safe and beneficial AI systems. Last updated 3 months ago Responsibilities For Research Engineer, Pre-training
Conduct research and implement solutions in model architecture, algorithms, data processing Independently lead small research projects Design, run, and analyze scientific experiments Optimize and scale training infrastructure Develop and improve dev tooling Contribute to entire stack from low-level optimizations to high-level model design Requirements For Research Engineer, Pre-training Python Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field Strong software engineering skills with proven track record Expertise in Python and deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning Strong problem-solving skills and results-oriented mindset Care about societal impacts of work Benefits For Research Engineer, Pre-training Medical Insurance Vision Insurance Competitive compensation and benefits Optional equity donation matching Generous vacation and parental leave Office space in San Francisco Jobs Related To Anthropic Research Engineer, Pre-training Research Engineer position at Anthropic focusing on pre-training large language models, combining cutting-edge AI research with practical engineering implementation. Lead the design and implementation of AI solutions as an AI Architect at Apple, focusing on GenAI orchestration and ML systems integration for the sales organization. Senior Machine Learning Engineer role at Apple focusing on optimizing and scaling foundation models for various Apple services, offering competitive compensation and comprehensive benefits. AI Engineer position at Apple focusing on implementing LLMs and ML models for sales intelligence Senior Machine Learning Engineer role at Apple Ads, focusing on building data products and predictive models to improve advertising performance across Apple Services.
#J-18808-Ljbffr