Research Engineer - Production Model Post Training

Job not on LinkedIn

🕒 July 6, 2025

🏢🏡 San Francisco – Hybrid

💵 $280k - $425k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Anthropic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Anthropic is an AI safety and research company based in San Francisco. The company focuses on developing research and creating reliable, beneficial AI systems. It offers products such as the Claude AI model, designed to be safe and efficient for enterprise use, and provides tools like the Claude API to help drive efficiency and create new revenue streams for businesses. Anthropic places a strong emphasis on AI safety, aligning its work with principles of harmlessness and ethical AI deployment.

📋 Description

• Develop and optimize post-training processes for AI systems • Implement and scale post-training techniques on production models • Design and run pipelines for model fine-tuning • Collaborate with research teams to transition techniques to implementations • Debug issues in training pipelines

🎯 Requirements

• Strong software engineering skills with experience building complex ML systems • Comfortable working with large-scale distributed systems and high-performance computing • Experience with training, fine-tuning, or evaluating large language models • Balance research exploration with engineering rigor and operational reliability • Adept at analyzing and debugging model training processes • Enjoy collaborating across research and engineering disciplines • Navigate ambiguity and make progress in fast-moving research environments • Keen interest in AI safety and responsible deployment • Experience with LLMs is a significant plus • Proficiency in Python, deep learning frameworks, and distributed computing is required

🏖️ Benefits

• Competitive compensation • Generous vacation and parental leave • Flexible working hours • Lovely office space for collaboration