# Research Engineer / Scientist, Pre-training Source: https://realanalystjobs.com/job/research-engineer-scientist-pre-training-anthropic-d047d21e Research Engineer / Scientist, Pre-training at Anthropic, based in USA - Remote. Pay stated in the posting: $500,000 to $850,000. Posted on 1 November 2026, read from Anthropic's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. The posting says the employer sponsors visas or will consider it. Anthropic has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Anthropic](https://realanalystjobs.com/companies/anthropic) - Location: USA - Remote - Pay stated in the posting: $500,000 to $850,000 - Posted: Nov 1, 2026 - Employment type: Full time - Source: Anthropic's careers page (Greenhouse), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting says the employer sponsors visas or will consider it. Confirm with the employer before you apply. Anthropic had H-1B petitions approved for 189 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/anthropic#h1b-record) ## About this role About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities • Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development • Independently lead small research projects while collaborating with team members on larger initiatives • Design, run, and analyze scientific experiments to advance our understanding of large language models • Optimize and scale our training infrastructure to improve efficiency and reliability • Develop and improve dev tooling to enhance team productivity • Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications • Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field • Strong software engineering skills with a proven track record of building complex systems • Expertise in Python and experience with deep learning frameworks (PyTorch preferred) • Familiarity with large-scale machine learning, particularly in the context of language models • Ability to balance research goals with practical engineering constraints • Strong problem-solving skills and a results-oriented mindset • Excellent communication skills and ability to work in a collaborative environment • Care about the societal impacts of your work Preferred Experience • Work on high-performance, large-scale ML systems • Familiarity with GPUs, Kubernetes, and OS internals • Experience with language modeling using transformer architectures • Knowledge of reinforcement learning techniques • Background in large-scale ETL processes You'll thrive in this role if you • Have significant software engineering experience • Are results-oriented with a bias towards flexibility and impact • Willingly take on tasks outside your job description to support the team • Enjoy pair programming and collaborative work • Are eager to learn more about machine learning research • Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects • Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research • View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights • Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects • Optimizing the throughput of novel attention mechanisms • Comparing compute efficiency of different Transformer variants • Preparing large-scale datasets for efficient model consumption • Scaling distributed training jobs to thousands of GPUs • Designing fault tolerance strategies for our training infrastructure • Creating interactive visualizations of model internals, such as attention patterns The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical impli Description from Anthropic's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/research-engineer-scientist-pre-training-anthropic-d047d21e) and use Apply now there to reach the employer's application. The listing is re-checked against Anthropic's careers page daily and removed when it closes. ## Anthropic 11 open analyst roles on Real Analyst Jobs. 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