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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_68d3d582-cad"},"title":"Technical Compensation Partner","description":"<p>We are seeking an experienced Tech Compensation Partner to join our Total Rewards team with a focus on competitive intelligence and market analysis. This role will drive strategic compensation decision-making through deep market research, data analysis, and competitive positioning for our technical talent across our Tech organisations.</p>\n<p>You will be the go-to expert for understanding how Anthropic&#39;s compensation stacks up in the rapidly evolving AI talent market, while also serving as a program manager for our competitive intelligence initiatives for tech roles.</p>\n<p>We&#39;re looking for someone who thrives as a strategic partner, is energised by data, and loves surfacing market insights. You&#39;re able to translate complex compensation trends into clear, actionable strategies. In this role, you&#39;ll partner closely with Recruiting and People Analytics to ensure our offers are both competitive and compelling, while building scalable programs that keep us ahead of a shifting market.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as the dedicated compensation business partner for the Technology org.</li>\n<li>Strategic partner for compensation support for hiring managers, people partners, and talent partners.</li>\n<li>Operate as a business partner and data provider by building the relationships and context with tech leaders, People Partners, and recruiting that enable you to navigate ambiguous problems and recommend strategic solutions that make sense for our unique needs</li>\n<li>Own comp cycle execution for your client groups end-to-end which include market benchmarking review, budget modeling, manager enablement, edge-case resolution, and exec-ready rollups in partnership with the broader Total Rewards team.</li>\n<li>Lead competitive intelligence strategy for technical roles, conducting sophisticated market research and analysis to understand compensation trends, emerging pay practices, and talent movement patterns in AI, ML, and frontier technology companies</li>\n<li>Utilizing comprehensive and innovative benchmarking methodologies to ensure we are gathering real-time market intelligence to stay ahead of market trends. This includes partnering closely with recruiting teams, hiring managers, and leaders to provide market insights, offer guidance, and competitive positioning recommendations for technical hires across all levels</li>\n<li>Cross functional partnership to develop scalable processes, tools, and dashboards that enable self-service access to market data across the organisation</li>\n<li>Build and maintain dynamic compensation models and frameworks specifically tailored to technical roles, incorporating factors like AI expertise, research impact, and specialised skills premiums</li>\n<li>Create compelling data narratives and presentations for leadership, translating complex market analysis into clear strategic recommendations</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Have 10+ years of compensation experience with deep expertise in technical roles and competitive market analysis</li>\n<li>Are passionate about data analysis and have advanced skills in data manipulation, statistical analysis, and visualisation tools (Excel, SQL, Python, R, or similar)</li>\n<li>Have demonstrated experience building competitive intelligence programmes from the ground up, including developing data collection methodologies and analysis frameworks</li>\n<li>Possess strong programme management skills with a track record of leading cross-functional initiatives and delivering results in ambiguous, fast-paced environments</li>\n<li>Are an exceptional communicator who can distill complex market data into actionable insights for diverse stakeholders</li>\n<li>Have experience working closely with recruiting teams and understand the talent acquisition process for technical roles</li>\n<li>Thrive in strategic thinking while also being comfortable with hands-on execution and detailed analysis</li>\n<li>Have worked in high-growth technology companies, preferably with exposure to AI, ML, or research-focused organisations</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Annual compensation range: $245,000 - $310,000 USD</li>\n<li>Minimum education: Bachelor&#39;s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_68d3d582-cad","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5165539008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$245,000 - $310,000 USD","x-skills-required":["compensation analysis","market research","data analysis","program management","communication","recruiting","talent acquisition","strategic thinking","technical roles","AI","ML","research-focused organisations"],"x-skills-preferred":["Excel","SQL","Python","R","data manipulation","statistical analysis","visualisation tools"],"datePosted":"2026-04-30T15:07:18.391Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"compensation analysis, market research, data analysis, program management, communication, recruiting, talent acquisition, strategic thinking, technical roles, AI, ML, research-focused organisations, Excel, SQL, Python, R, data manipulation, statistical analysis, visualisation tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":245000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d35d5a86-db3"},"title":"Principal Process Engineer, Manufacturing Sciences & Technology, Cell Therapy","description":"<p>We are seeking an experienced Principal Process Engineer to join our Manufacturing Sciences &amp; Technology (MS&amp;T) function as a member of the site-based MS&amp;T team. This role will support multiple clinical manufacturing facilities at AstraZeneca&#39;s Santa Monica, CA and Tarzana, CA locations.</p>\n<p>This position focuses on ensuring robust, compliant, and cost-effective manufacturing of clinical and commercial cell therapy products. This is a people-manager role overseeing a team of engineers, with occasional individual contributions that may include:</p>\n<ul>\n<li>leading technical support,</li>\n<li>developing technical instructions, procedures, and operator training content,</li>\n<li>performing data analysis and process performance trending,</li>\n<li>leading complex deviation investigations,</li>\n<li>leading implementation of CAPAs and continuous improvement through change controls,</li>\n<li>and contributing to validation and regulatory deliverables.</li>\n</ul>\n<p>These responsibilities will be exercised through the scope of supporting, technology transfer, clinical manufacturing, site readiness, process validation/PPQ, commercial manufacture readiness, and product lifecycle management activities.</p>\n<p>The ideal candidate brings hands-on experience with cell therapy unit operations through previous experience in process development and/or manufacturing, as well as expertise in technology transfer. Experience with process validation and commercialization activities is desired.</p>\n<p>This position will report to the Associate Director, MS&amp;T, Cell Therapy Development and Operations.</p>\n<p>Key Responsibilities Site manufacturing support - Manage, guide, and mentor MS&amp;T engineer(s) Process Execution Support: Provide day-to-day technical support for cell therapy manufacturing, including managing on-the-floor support for critical campaigns (including occasional off-shift support where required) Operations Support: Lead Site MS&amp;T representation at operational tier meetings, providing collaborative inputs that drive site activities Data trending and analysis: Maintain manufacturing data tracking system and control charts, perform trend analyses, identify signals, and drive timely signal-to-action with clear documentation and cross-functional alignment. Process performance monitoring: Conduct batch record review, deviation assessment, and data trending to ensure robustness of cell therapy manufacturing processes. Deviation/CAPA Support: Lead technical investigations for deviations and process excursions, perform root cause analysis, develop and implement CAPAs with appropriate data. Continuous improvements: Identify, justify, and implement continuous improvements by shepherding changes through cross-functional change controls with appropriate risk assessments and comparability. Raw materials: Support qualification of critical materials (e.g., cytokines, viral vector, single-use assemblies) and assess impact of raw material changes, and contribute to second-source strategies Documentation &amp; GMP Compliance: Author and revise batch records, SOPs, and technical reports; protocols, manufacturing summary reports, ensure adherence to cGMP/ATMP requirements and data integrity principles (ALCOA+) Training &amp; Knowledge Transfer: Deliver operator training on critical process steps or process changes; Develop and drive lessons-learned, playbooks, and best practices across sites. Regulatory Contributions: Draft and review CMC sections (Module 3), response to agency question, support health authority and internal audits/inspections.</p>\n<p>Technology Transfer &amp; Process Validation Draft and review risk assessments and comparability study design Establish framework for New Product Introduction procedures and intake at the site Lead technology transfer activities (process descriptions, URS inputs, BOMs, risk assessments), implement process changes, coordinate execution of engineering runs and comparability/bridging studies, author technical reports Translate process characterization outputs from development into manufacturing controls, and draft sections of PPQ protocols/reports Provide and manage on the floor technical support during scale-out, engineering runs, PPQ batches, and commercial manufacturing campaigns (including off-shift support when required).</p>\n<p>Cross-Functional Collaboration Serve as site MS&amp;T lead at CMC and functional governance meetings Position serves as primary interface between site Manufacturing, site Quality, site Supply Chain, and global functions of Process Development and CMC regulatory Support lifecycle management for cell therapy processes, including continuous improvement initiatives and post-approval changes</p>\n<p>Required Qualifications Education PhD in Chemical Engineering, Biochemical Engineering, Biotechnology, or related field with 4+ years of industry experience; OR M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, or related field with 8+ years of industry experience OR B.S. with 10+ years of hands-on industry experience.</p>\n<p>Technical Skills Strong technical and hands-on expertise in key cell therapy unit operations and common cell therapy processing equipment Demonstrated experience working in GMP environments, including batch record execution or review, deviations, and investigations. Proficiency with statistical analysis (including univariate, multi-variate analysis, control charts) Demonstrated ability in accurate and thorough technical writing, paired with clear and concise verbal communication Strong data analysis, and problem-solving skills.</p>\n<p>Soft skills Excellent cross-functional communication and collaboration. Ability to translate complex data into clear decisions and regulatory-ready narratives. Excellent problem solving, cross-functional leadership, and communication under time-sensitive conditions.</p>\n<p>Preferred Qualifications Experience with late-stage clinical manufacturing support of cell therapy products Experience with process validation and commercial readiness of cell therapy products</p>\n<p>Work Environment On-site in Santa Monica and Tarzana, CA Ability to travel ~15% to other manufacturing facilities On-call rotation during engineering/PPQ/critical campaigns</p>\n<p>When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That&#39;s why we work, on average, a minimum of three days per week from the office. But that doesn&#39;t mean we&#39;re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.</p>\n<p>The annual base pay for this position ranges from $142,377.60 - $213,566.40. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d35d5a86-db3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Manufacturing Sciences & Technology Tech Transfer","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877690016635?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"The annual base pay for this position ranges from $142,377.60 - $213,566.40","x-skills-required":["cell therapy unit operations","cell therapy processing equipment","GMP environments","batch record execution","deviations","investigations","statistical analysis","univariate analysis","multi-variate analysis","control charts","technical writing","verbal communication","data analysis","problem-solving"],"x-skills-preferred":["late-stage clinical manufacturing support","process validation","commercial readiness"],"datePosted":"2026-04-29T15:08:11.293Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Monica, California, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"cell therapy unit operations, cell therapy processing equipment, GMP environments, batch record execution, deviations, investigations, statistical analysis, univariate analysis, multi-variate analysis, control charts, technical writing, verbal communication, data analysis, problem-solving, late-stage clinical manufacturing support, process validation, commercial readiness","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":142377.6,"maxValue":213566.4,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90a5120a-004"},"title":"Principal Scientist, Computational Biology Oncology","description":"<p>At Bayer, we&#39;re seeking an agile innovator to join our team as a Principal Scientist, Computational Biology Oncology. As a key member of our research and development team, you will play a crucial role in evaluating therapeutic hypotheses via integration and quantitative analyses of internal &amp; external multi-omics data sources (DNA, RNA, CRISPR, ChIP-seq, methylation, and proteomics).</p>\n<p>We are growing rapidly with an active research and discovery pipeline. You will design, execute, and interpret complex quantitative analyses to address precision drug development criteria. Examples of precision drug development criteria include RAISE dimensions, translational science strategy, proof-of-mechanism, and lifecycle management.</p>\n<p>Contribute to Product Team scientific strategy and prosecution of critical path objectives, such as the identification of novel targets, biomarkers, or patient selection hypotheses. These contributions use state-of-the-art computational biology methods to analyze large and complex data sets.</p>\n<p>Deliver biological insights on therapeutic assets and disease biology understanding to Product Teams, who apply these insights towards stage-gate decisions, portfolio prioritization, and/or submissions to Health Authorities.</p>\n<p>Educate Product Teams on innovations in disease understanding, especially molecular mechanisms of tumor vulnerabilities that may represent unmet medical need.</p>\n<p>Develop, evaluate, implement, and apply Best Practices for the execution and validity of quantitative analyses, integration, visualizations, and interpretation of multi-omics data. Demonstrate a growth mindset towards updating Best Practices with the emergence of new experimental or computational technologies.</p>\n<p>Build cross-functional relationships to collaboratively partner across Pharma R&amp;D and effectively network within disease understanding and data science communities of experts.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Evaluate and contextualize the molecular evidence supporting a therapeutic hypothesis with relevant internal and external multi-omics data (DNA, RNA, CRISPR, ChIP-seq, methylation, and proteomics)</li>\n<li>Design, execute, and interpret complex quantitative analyses to address precision drug development criteria</li>\n<li>Contribute to Product Team scientific strategy and prosecution of critical path objectives</li>\n<li>Deliver biological insights on therapeutic assets and disease biology understanding to Product Teams</li>\n<li>Educate Product Teams on innovations in disease understanding</li>\n<li>Develop, evaluate, implement, and apply Best Practices for the execution and validity of quantitative analyses, integration, visualizations, and interpretation of multi-omics data</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>PhD degree in Life Sciences (Bioinformatics, Computational Biology, Biology, Genetics, Molecular Biology, or other related discipline) with very strong computational focus</li>\n<li>Demonstrated experience in statistical analysis of DNA-seq, RNA-seq, proteomics, single-cell, or imaging datasets with proficiency in a programming environment (such as R or Python)</li>\n<li>Demonstrated peer-reviewed publications in computational biology</li>\n<li>Expert level of proficiency to choose fit-for-purpose quantitative analyses</li>\n<li>Demonstrated ability to propose, catalyze, and implement the development of interdisciplinary, systematic solutions that create business value</li>\n<li>Evidence of providing tactical and strategic guidance to the pharma portfolio or data science ecosystem</li>\n<li>Strong communication competencies, including capability to present even very complex issues clearly and convincingly to project teams or decision bodies</li>\n<li>Demonstrates advanced business acumen, people and project leadership competencies, and technical expertise</li>\n<li>Can manage a high degree of organizational and technical complexity</li>\n<li>Learning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and others</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>5+ years industry experience in drug development or biotech role with clear understanding of applying multi-omics data analyses to advance a portfolio of drug discovery or clinical development projects</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_90a5120a-004","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949977055783?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"full-time","x-salary-range":"$136,000.00 - 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An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.</p>\n<p>If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.</p>\n<p><strong>About the team + role</strong></p>\n<p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.</p>\n<p>We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.</p>\n<p>Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products.</p>\n<p>As a Senior Data Scientist on the Data Science team, you&#39;ll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations.</p>\n<p>Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers.</p>\n<p>We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy.</p>\n<p>Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users.</p>\n<p>This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week.</p>\n<p>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.</p>\n<p>Our office experience is intentional, energizing, and designed to fully support high-performing teams.</p>\n<p><strong>What you’ll do</strong></p>\n<ul>\n<li>Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.</li>\n</ul>\n<ul>\n<li>Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.</li>\n</ul>\n<ul>\n<li>Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making.</li>\n</ul>\n<ul>\n<li>Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership.</li>\n</ul>\n<ul>\n<li>Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.</li>\n</ul>\n<ul>\n<li>Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes.</li>\n</ul>\n<ul>\n<li>Assist with established methods, standard approaches, and promote a data-informed culture within the organization.</li>\n</ul>\n<p><strong>What you bring</strong></p>\n<ul>\n<li>Proven expertise in data science, with a strong background in statistical analysis and machine learning.</li>\n</ul>\n<ul>\n<li>Outstanding problem-solving skills and the ability to think critically and creatively.</li>\n</ul>\n<ul>\n<li>Strong programming skills in Python &amp; 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and New Year’s Day</p>\n<p>Paid time off and the option to purchase additional vacation time.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5e80fe1d-2a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://www.ford.com/","logo":"https://logos.yubhub.co/ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/58378?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$115,800-$193,680","x-skills-required":["NI LabVIEW","Python","CANoe","Industrial automation","PLCs","Test instrumentation","Electrical engineering","Mechanical engineering","Manufacturing processes","Quality systems","Statistical 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Experience in image/polygon processing; preferred exposure to machine learning, image processing, and computational lithography.</p>\n<p><strong>Who You Are:</strong></p>\n<p>Excellent communicator, able to convey complex concepts clearly to technical and non-technical audiences. Team player who values collaboration and thrives in a diverse, multidisciplinary environment. Curious and eager to learn, always seeking new ways to improve and innovate. Detail-oriented with strong analytical and problem-solving skills. Adaptable, resilient, and comfortable tackling ambiguous challenges.</p>\n<p><strong>The Team You’ll Be A Part Of:</strong></p>\n<p>You will join the Synopsys Proteus OPC modeling team, a group dedicated to advanced regression and etch modeling solutions. 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You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high-value problems that our customers encounter each and every day.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Focused on LLMs, you will play a crucial role in analyzing and interpreting complex data types to derive and implement cutting-edge insight generation systems.</li>\n<li>Iterate and explore new LLM and NLP techniques maintaining our foothold as an industry leader.</li>\n<li>You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms.</li>\n<li>Your work will contribute to solving business problems, improving processes, and enhancing the overall performance of the company.</li>\n<li>Collaborate with cross-functional teams to improve NLP/LLM capabilities in app.</li>\n<li>Stay up-to-date with the latest advancements and research in the space.</li>\n<li>Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications.</li>\n<li>Ensure that systems are efficient, maintainable, and well-monitored.</li>\n<li>Iterate on validation and testing frameworks.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or related field.</li>\n<li>Master&#39;s degree in Computer Science, Mathematics, Machine Learning, or a related field is a plus.</li>\n<li>7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems.</li>\n<li>Strong programming skills in Python.</li>\n<li>Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika.</li>\n<li>Experience with Search and Indexing technologies.</li>\n<li>Proficient in machine learning techniques and algorithms.</li>\n<li>Experience working with foundational models and corresponding APIs.</li>\n<li>Knowledge of statistical analysis and data scraping techniques.</li>\n<li>Prior experience in developing NLP models and systems.</li>\n<li>Experience with prompting and building LLM applications and agents is a plus.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Experience building agentic systems or LLM-enabled products.</li>\n<li>Frequent user of AI products, especially during the development lifecycle (i.e., Cursor, Claude Code, etc).</li>\n</ul>\n<p>Compensation:</p>\n<p>The salary range for this role is $160,000 to $300,000. 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Your work will focus on creating robust systems that are accurate and reflect their true levels of confidence across all domains, and that work to avoid being deceptive or misleading.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and implement novel data curation pipelines to identify, verify, and filter training data for accuracy given the model’s knowledge</li>\n<li>Develop specialised classifiers to detect potential hallucinations or miscalibrated claims made by the model</li>\n<li>Create and maintain comprehensive honesty benchmarks and evaluation frameworks</li>\n<li>Implement techniques to ground model outputs in verified information, such as search and retrieval-augmented generation (RAG) systems</li>\n<li>Design and deploy human feedback collection specifically for identifying and correcting miscalibrated responses</li>\n<li>Design and implement prompting pipelines to generate data that improves model accuracy and honesty</li>\n<li>Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims</li>\n<li>Create tools to help human evaluators efficiently assess model outputs for accuracy</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have an MS/PhD in Computer Science, ML, or related field</li>\n<li>Possess strong programming skills in Python</li>\n<li>Have industry experience with language model finetuning and classifier training</li>\n<li>Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy</li>\n<li>Care about AI safety and the accuracy and honesty of both current and future AI systems</li>\n<li>Have experience in data science or the creation and curation of datasets for finetuning LLMs</li>\n<li>An understanding of various metrics of uncertainty, calibration, and truthfulness in model outputs</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Published work on hallucination prevention, factual grounding, or knowledge integration in language models</li>\n<li>Experience with fact-grounding techniques</li>\n<li>Background in developing confidence estimation or calibration methods for ML models</li>\n<li>A track record of creating and maintaining factual knowledge bases</li>\n<li>Familiarity with RLHF specifically applied to improving model truthfulness</li>\n<li>Worked with crowd-sourcing platforms and human feedback collection systems</li>\n<li>Experience developing evaluations of model accuracy or hallucinations</li>\n</ul>\n<p><strong>Join us in our mission to ensure advanced AI systems behave reliably and ethically while staying aligned with human values.</strong></p>\n<p><strong>The annual compensation range for this role is listed below.</strong></p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary:</p>\n<p>$350,000 - $500,000USD</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong> 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.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>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&#39;re interested in this work.</strong></p>\n<p><strong>Your 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&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. 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We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Research and develop reinforcement learning algorithms</li>\n</ul>\n<ul>\n<li>Design and run experiments to study training dynamics and model behavior at scale</li>\n</ul>\n<ul>\n<li>Collaborate with engineers and researchers to integrate successful approaches into model training pipelines</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a strong background in reinforcement learning, machine learning research, or related fields</li>\n</ul>\n<ul>\n<li>Have strong engineering and statistical analysis skills</li>\n</ul>\n<ul>\n<li>Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving</li>\n</ul>\n<ul>\n<li>Are motivated by seeing research ideas influence real-world AI systems</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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