As a Research Engineer on our Post-Training team, you'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies.
\nYou'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.
\nOur team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
\nWe conduct all interviews in Python, and this role may require responding to incidents on short-notice, including on weekends.
\nResponsibilities:
\nImplement and optimize post-training techniques at scale on frontier models
\nConduct research to develop and optimize post-training recipes that directly improve production model quality
\nDesign, build, and run robust, efficient pipelines for model fine-tuning and evaluation
\nDevelop tools to measure and improve model performance across various dimensions
\nCollaborate with research teams to translate emerging techniques into production-ready implementations
\nDebug complex issues in training pipelines and model behavior
\nHelp establish best practices for reliable, reproducible model post-training
\nYou may be a good fit if you:
\nThrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities
\nAdapt quickly to changing priorities
\nMaintain clarity when debugging complex, time-sensitive issues
\nHave strong software engineering skills with experience building complex ML systems
\nAre comfortable working with large-scale distributed systems and high-performance computing
\nHave experience with training, fine-tuning, or evaluating large language models
\nCan balance research exploration with engineering rigor and operational reliability
\nAre adept at analyzing and debugging model training processes
\nEnjoy collaborating across research and engineering disciplines
\nCan navigate ambiguity and make progress in fast-moving research environments
\nStrong candidates may also:
\nHave experience with LLMs
\nHave a keen interest in AI safety and responsible deployment
\nWe welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems.
\nHowever, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.
\nThe annual compensation range for this role is $350,000-$500,000 USD.
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\nAnthropic'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.
\nAbout the role
\nAnthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.
\nYou'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.
\nResponsibilities
\nYou may be a good fit if you:
\nStrong candidates may also:
\nLogistics
\nWe 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.
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.
\nHow we're different
\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us!
\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
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\nYou'll bring a consultative sales approach to a wide range of buyers, from engineering and product leaders evaluating the technology to operations and commercial leaders focused on measurable ROI. In close partnership with GTM, product, and marketing, you'll help sharpen our value proposition, sales motion, and positioning for the mid-market.
\nThe ideal candidate is energised by meeting customers wherever they are on the AI adoption curve , across industries, company types, and levels of technical maturity. You'll build consensus among diverse stakeholders and execute strategies that drive sustainable, responsible adoption of Anthropic's technology.
\nResponsibilities: Drive new business revenue by navigating complex organisations to reach decision-makers and educate them on practical AI applications Execute across a range of buying motions , from fast, product-led technical evaluations to multi-stakeholder procurement , to exceed revenue quota Identify use cases across product, engineering, and operational functions, and collaborate cross-functionally to position Claude as a practical solution Build consensus among engineering and product leaders, C-suite executives, IT, operations, and procurement teams around AI adoption Gather customer feedback to inform product roadmaps and sharpen value propositions for mid-market organisations Refine our mid-market sales methodology by feeding learnings into playbooks and optimising processes across a range of cycle lengths and buyer types
\nYou may be a good fit if you have: 8+ years of B2B software sales experience, with 5+ years closing in mid-market or enterprise accounts Experience selling into the mid-market across any sector , SaaS, infrastructure, vertical software, financial services, healthcare, manufacturing, or otherwise. We care about the selling muscle and the buyer complexity you've handled, not the specific industry Track record of closing $100K–$5M deals across cycle lengths ranging from weeks (product-led, technical buyers) to quarters (consensus-driven procurement) Proven ability to navigate complex procurement processes and build consensus among diverse stakeholder groups A consultative selling approach that meets buyers where they are , going deep with technical evaluators and translating to business outcomes with commercial stakeholders History of exceeding quota while managing a mixed book of fast-moving and complex accounts Strong communication skills, with range to engage audiences from technical teams to C-level executives Credibility with technical stakeholders , you've sold to engineering or IT leaders, held your own in a technical evaluation, and partnered closely with solutions engineering without hiding behind them The ability to articulate ROI frameworks and demonstrate measurable business outcomes A passion for AI and commitment to its safe, responsible deployment Comfort building in ambiguity , this is an early GTM team in EMEA and the motion is still being shaped. You'll help shape it
\nAnnual compensation range for this role is €155,000-€205,000 EUR.
\nMinimum 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.
\nWe 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.
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.
\nHow we're different: We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nCome work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
\nXML job scraping automation by YubHub
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\nAnthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.
\nYou'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.
\n_Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends._
\nResponsibilities:
\nYou may be a good fit if you:
\nStrong candidates may also:
\nWe welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.
\nThe annual compensation range for this role is listed below.
\nFor 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.
\nAnnual Salary:
\n$350,000 - $500,000USD
\nLogistics
\nEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
\nLocation-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.
\nVisa 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.
\nWe 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.
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
\nHow we're different
\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
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