2,315 Safeguards jobs in the United States

• Deep dive into user behavior data to provide insights on safety concerns
• Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
• Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
• Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
• Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company

• 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
• 5+ years of experience deeply embedding in Product teams
• A passion for the company's mission of building helpful, honest, and harmless AI.
• Expertise in Python, SQL, and data visualization tools.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
• A deep curiosity and energy for pulling the thread on hard questions.
• Experience in turning open questions and data into concise and insightful analysis.
• Highly effective written communication and presentation skills.

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 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 The Safeguards Research Team conducts critical safety research and engineering to ensure AI systems can be deployed safely. As a Software Engineer on our team, you'll develop robust end-to-end pipelines and tooling that directly supports our safety research initiatives. You'll work on building scalable infrastructure for evaluating model behaviors, automating safety assessments, and implementing efficient data processing systems to help us understand and mitigate risks in advanced AI systems. You take a pragmatic approach to software development, preferring simple, effective solutions over complex ones. You're adept at working with language models through effective prompting techniques and can translate research concepts into production-quality code. You'll collaborate closely with researchers to build tools that address both immediate safety challenges and support longer-term research initiatives. Deep machine learning knowledge is not required for this role. The main requirement is a desire to understand researcher workflows and improve research productivity. Representative projects: Design and implement end-to-end pipelines for efficient evaluation of model safety features and vulnerabilities Develop tooling to automate the generation and analysis of jailbreak attempts Build data processing systems that can handle large-scale model outputs Optimize Python code for memory efficiency and parallelization to improve research workflow performance Create flexible interfaces for researchers to interact with models and experimental setups Implement monitoring systems to track model behavior across different safety dimensions You may be a good fit if you: Have strong software engineering experience, particularly with Python Are excited about learning foundational ML knowledge to make researchers more effective (deep ML knowledge is not required) Are experienced with prompting and working with language models Excel at building practical, scalable data pipelines and tooling Prefer implementing simple solutions that work reliably over complex ones Have experience optimizing code for performance and resource efficiency Are comfortable working in a fast-paced, collaborative research environment Care deeply about the impacts of AI Strong candidates may also: Have experience building systems that integrate with large language models Have worked on distributed computing systems or parallel processing Have implemented data processing pipelines at scale Have contributed to open-source machine learning or AI safety tools Have experience with cloud infrastructure and containerization The expected salary range for this position is: Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. Note: Currently, the team has a preference for candidates who are able to be based in the Bay Area. However, we remain open to any candidate who can travel 25% to the Bay Area. 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. 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 implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How 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. Come 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. The expected salary range for this position is: $300,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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 implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How 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. Come 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. Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website (Optional) Personal Preferences * How do you pronounce your name? Website Publications (e.g. Google Scholar) URL Are you open to working in-person in one of our offices 25% of the time? * Select. When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application * Select. 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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 As a Safeguards Analyst focusing on Cyber Harms, you will play a critical role in protecting our platform and users from cyber security risks through consistent policy enforcement and trend analysis. Important Context: In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Responsibilities: Enforce trust and safety policies with a specific focus on detecting and mitigating potential cyber security risks and harmful use of AI systems Monitor and analyze platform activity to identify emerging cyber threat patterns and trends that may require policy updates or enforcement actions Work with engineers to develop and iterate on safety systems that govern responsible use of our models for emerging capabilities and use cases related to cyber threats Conduct thorough investigations of potential policy violations related to cyber harms, gathering and documenting evidence to support enforcement decisions, and working to escalate cases with investigations and/or Security to identify coordinated activity Collaborate with the Policy team to provide feedback on policy gaps and ambiguities based on real enforcement scenarios involving cyber threats Support the development and refinement of detection methods for cyber-related abuse through data analysis and pattern recognition Work closely with cross-functional teams to ensure consistent application of policies across different use cases and scenarios Maintain detailed documentation of investigation findings and enforcement actions Participate in regular policy reviews and provide insights from an enforcement perspective Operationalize review workflows and determine prioritization of reviews Handle user appeals and communications related to enforcement actions with professionalism and clarity You may be a good fit if you have: 2+ years of experience in cybersecurity, or related field Strong understanding of cybersecurity concepts, web security, and common attack patterns Experience in offensive cybersecurity, CTFs, or penetration testing (OSCP Certification is not required, but valued) Ability to utilize Python and/or other data analysis tools and interact with large databases Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure Strong attention to detail and ability to maintain accurate documentation Excellent written and verbal communication skills Ability to work independently while maintaining strong collaboration with team members Bachelor's degree in Computer Science, Information Security, or related field (or equivalent practical experience) Strong candidates may: Have a deep interest in AI safety and responsible technology development Have a background in ethical hacking/pen-testing/malware analysis Can balance competing priorities and handle time-sensitive issues effectively Are comfortable working in ambiguous situations and can make sound judgments based on available information Demonstrate strong analytical thinking and problem-solving skills Are proactive in identifying emerging threats and suggesting improvements to existing processes Have experience with or interest in content moderation and policy enforcement at scale Can effectively communicate technical concepts to both technical and non-technical stakeholders The expected salary range for this position is: Annual Salary: $170,000 — $325,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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 implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How 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. Come 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. #J-18808-Ljbffr

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 As a Safeguards Analyst focusing on Cyber Harms, you will play a critical role in protecting our platform and users from cyber security risks through consistent policy enforcement and trend analysis. Important Context: In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Responsibilities: Enforce trust and safety policies with a specific focus on detecting and mitigating potential cyber security risks and harmful use of AI systems Monitor and analyze platform activity to identify emerging cyber threat patterns and trends that may require policy updates or enforcement actions Work with engineers to develop and iterate on safety systems that govern responsible use of our models for emerging capabilities and use cases related to cyber threats Conduct thorough investigations of potential policy violations related to cyber harms, gathering and documenting evidence to support enforcement decisions, and working to escalate cases with investigations and/or Security to identify coordinated activity Collaborate with the Policy team to provide feedback on policy gaps and ambiguities based on real enforcement scenarios involving cyber threats Support the development and refinement of detection methods for cyber-related abuse through data analysis and pattern recognition Work closely with cross-functional teams to ensure consistent application of policies across different use cases and scenarios Maintain detailed documentation of investigation findings and enforcement actions Participate in regular policy reviews and provide insights from an enforcement perspective Operationalize review workflows and determine prioritization of reviews Handle user appeals and communications related to enforcement actions with professionalism and clarity You may be a good fit if you have: 2+ years of experience in cybersecurity, or related field Strong understanding of cybersecurity concepts, web security, and common attack patterns Experience in offensive cybersecurity, CTFs, or penetration testing (OSCP Certification is not required, but valued) Ability to utilize Python and/or other data analysis tools and interact with large databases Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure Strong attention to detail and ability to maintain accurate documentation Excellent written and verbal communication skills Ability to work independently while maintaining strong collaboration with team members Bachelor's degree in Computer Science, Information Security, or related field (or equivalent practical experience) Strong candidates may: Have a deep interest in AI safety and responsible technology development Have a background in ethical hacking/pen-testing/malware analysis Can balance competing priorities and handle time-sensitive issues effectively Are comfortable working in ambiguous situations and can make sound judgments based on available information Demonstrate strong analytical thinking and problem-solving skills Are proactive in identifying emerging threats and suggesting improvements to existing processes Have experience with or interest in content moderation and policy enforcement at scale Can effectively communicate technical concepts to both technical and non-technical stakeholders The expected salary range for this position is: Annual Salary: $170,000 — $325,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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 implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How 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. Come 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. #J-18808-Ljbffr

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.

As an early member of our T&S Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.

You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.

• Deep dive into user behavior data to provide insights on safety concerns
• Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
• Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
• Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
• Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company

• 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
• 5+ years of experience deeply embedding in Product teams
• A passion for the company's mission of building helpful, honest, and harmless AI.
• Expertise in Python, SQL, and data visualization tools.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
• A deep curiosity and energy for pulling the thread on hard questions.
• Experience in turning open questions and data into concise and insightful analysis.
• Highly effective written communication and presentation skills.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:

$220,000 — $315,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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 implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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.

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.

At Fluor, we are proud to design and build projects and careers. We are committed to fostering a welcoming and collaborative work environment that encourages big-picture thinking, brings out the best in our employees, and helps us develop innovative solutions that contribute to building a better world together. If this sounds like a culture you would like to work in, you’re invited to apply for this role.

Fluor is a leading government contractor with a proven track record of delivering high‑value technical solutions around the world to U.S. government agencies such as the DOE, NNSA, the Department of Defense and the Intelligence Community.

Job Description

The ideal candidate for this position will be responsible for planning and performing work requiring sound technical/business judgment in the evaluation, organization, and execution of project management assignments worldwide. This role has the overall objective of managing and/or coordinating project activities that are in compliance with the contract and ensure the safety, quality, value, timeliness, and Fluor profitability of the completed project. At this level, this position may assume Project Engineer, Area Project Manager or Engineering management job assignment responsibilities on a medium size project, multiple small size projects or complex segment of a larger project, in compliance with the project needs or per directions provided by the Project Director, Project Manager or Engineering Manager.

• Perform essential project engineering functions involving monitoring of progress, preparation of procedures, documentation of communications and meetings, and identification/evaluation of project issues and problems

• Coordinate and/or manage the efforts of technical disciplines, vendors and licensors to ensure integrated and completed designs that meet project requirements contractual obligations

• Support creation and coordination of overall project plans and schedules, and monitoring activities, progress, and milestones against the plans

• Support creation and coordination of project effort hours, and cost estimates and budgets, and monitoring progress and cost performance against these

• Coordinate the preparation, delivery and coordination of project deliverables, design documents, and bid packages

• Other duties as assigned

Basic Job Requirements

• Accredited four (4) year degree or global equivalent in engineering field of study and seven (7) years of work-related experience; a recognized professional certification or registration in the applicable field, if required; some locations may have additional or different qualifications in order to comply with local requirements

• Ability to communicate effectively with audiences that include but are not limited to management, coworkers, clients, vendors, contractors, and visitors

• Job related technical knowledge necessary to complete the job

• Ability to learn and apply knowledge of applicable local, state/province, and federal/national statutes and guidelines

• Ability to attend to detail and work in a time-conscious and time-effective manner

Other Job Requirements

• Proof of US Citizenship

• May support or participate in presentations to larger project audiences

• Participate in Fluor University courses for continued learning experiences

• Utilize knowledge management communities to capture, support and leverage relevant knowledge to enhance project execution

• Participate in vendor trade shows and become familiar with new technologies and industry business direction

Preferred Qualifications

• Must have Engineering/EPC design experience.

• Seven (7) years of experience in engineering, procurement, fabrication, and construction/construction management (EPFC/CM) industry including minimum one (1) successful construction and /or commissioning completed field assignment

• Experience executing and managing risk assessments initiatives

• Experience in international locations and diverse cultural environments is recommended

• Experience in the performance of functional tasks on projects with a well developed understanding of procedures and interfaces

• Detailed knowledge of Fluor’s software tools and databases preferred

• Proficient at initiating and growing solid relationships with the client, vendors and suppliers while meeting the company business needs and goals

• Adaptable and able to maintain effectiveness in changing circumstances

• Ability to set and maintain high standards of performance with responsibility and accountability for successfully completing assignments and tasks

• Proactive in taking prompt and appropriate action to ensure objectives are accomplished and apply necessary follow-up to monitor progress and results of project tasks and assignments

• Analytical approach to problem solving and identifying potential solutions

• Technical and business writing skills

• Basic computer and software skills to include the use of word processing, email, spreadsheets, electronic presentations, and project management tools

• Certification in project management suggested, for example Project Management Professional (PMP)

We are an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law.

Benefits Statement: Fluor is proud to offer a comprehensive benefits package designed to promote employee health, wellness, and financial security. Our offerings include medical, dental and vision plans, EAP, disability coverage, life insurance, AD&D, voluntary benefit plans, 401(k) with a company match, paid time off (personal, bereavement, sick, holidays) for salaried employees, paid sick leave per state requirement for craft employees, parental leave, and training and development courses.

Market Rate Statement: The market rate for the role is typically at the mid-point of the salary range; however, variations in final salary are determined by additional factors such as the candidate’s qualifications, relevant years of experience, geographic location, internal pay equity, and prevailing market conditions for the specific role.

Notice to Candidates: Background checks are carried out as part of any conditional offer made, including (but not limited to & role dependent) education, professional registration, employment, references, passport verifications and Global Watchlist screening.

To be Considered Candidates: Must be authorized to work in the country where the position is located.

Salary Range: $118,500.00 - $213,500.00

• Design and implement ML pipelines for training and evaluating safety classifiers and detection models
• Develop systems to fine-tune language models for specific safety evaluation tasks
• Build infrastructure for hyperparameter optimization and model selection across safety experiments
• Create efficient data processing pipelines that can handle large-scale model outputs and training datasets
• Develop tooling to automate the generation, analysis, and classification of jailbreak attempts
• Build evaluation frameworks that can systematically test model behaviors across safety dimensions
• Create flexible interfaces for researchers to experiment with different model architectures and training configurations

• Have hands-on experience training and fine-tuning basic ML models
• Understand fundamental ML concepts like overfitting and regularization
• Have practical experience with improving and evaluating ML models
• Are proficient with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and can implement custom training loops
• Have strong software engineering skills, particularly with Python
• Excel at building scalable data pipelines and ML infrastructure
• Are experienced with prompting and working with large language models
• Prefer implementing simple, reliable solutions over complex ones
• Are comfortable working in a fast-paced, collaborative research environment
• Care deeply about the impacts of AI

• Have implemented custom loss functions and evaluation metrics
• Have experience with experiment and evaluation tracking tools
• Have built systems that integrate training, evaluation, and deployment pipelines
• Have contributed to open-source machine learning or AI safety tools