Location: Montreal, Canada; United States
Payload System Engineer
Role:
We are seeking a Telecommunications Payload System Engineer with a strong background in electrical or RF engineering. In this role, you’ll support the definition, design, and verification of advanced digital payload architectures for spaceborne telecommunications systems.
Tasks:
Contribute to the system architecture design of advanced digital telecom payloads.
Support system-level performance and functional analysis, including link budgets and signal routing paths.
Participate in Failure Detection, Isolation, and Recovery (FDIR) strategy development and analysis.
Assist in RF signal analysis and system-level integration activities.
Contribute to the creation and maintenance of payload performance budgets.
Support requirements derivation, traceability, and management across subsystems.
Collaborate with cross-functional teams to define interfaces and ensure end-to-end system performance.
Participate in design reviews, technical documentation, test planning, and troubleshooting throughout the development lifecycle.
Must haves:
Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, or a related field.
2–5 years of experience in space systems, satellite communications, or a related discipline.
Foundational knowledge of digital signal processing, RF systems, and telecommunications architectures.
Relevant Experience with testing of satellite subsystems.
Strong attention to detail, analytical mindset, and team-oriented approach.
Effective communication and technical documentation skills.
Must be eligible to work in Canada and capable of obtaining necessary security clearance.
Complementary skills/knowledge:
Previous experience in Space and/or Constellation Operations
Knowledge of requirements Management tools such as DOORS/Windchill/Jama
Demonstrated capability to efficiently work autonomously and with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Houston, United States
Role:
As a member of the Systems Engineering Department, the Platform TT&C Systems Engineer will provide technical expertise for the Tracking, Telemetry and Command subsystem that provides a communication path between the satellite and the operations control center.
Tasks:
Depending on the job function, the Platform TT&C Systems Engineer will perform and participate in the following tasks and activities depending on the background and experience of the candidate:
Participate in the design of Platform TT&C systems that operate at various frequency bands
Perform system-level link budget analyses
Provide input to antenna scattering analyses and review results
Support systems engineering documentation including requirements specifications, statement of compliance, verification matrix and design descriptions
Prepare interface control documentation for TT&C subsystem interconnection with the other Platform subsystems Troubleshoot TT&C-related issues on integrated satellite and on Platform Engineering Model (FlatSat) test setups
Ensure inter-operability between Platform TT&C subsystem and satellite Payload
Contribute to overall communication concept of operations (ConOps)
Support various milestone reviews: EQSR, SRR, PDR and CDR either at Customer, MDA or subcontractor facilities
Requirements:
Bachelor’s degree in electrical engineering
5+ years of relevant experience
Strong RF engineering background
Experience with communication subsystems including transceivers, couplers, filters & antennas
Experience with Communication standards and regulations including but not limited to ITU, CCSDS and ETSI
Complementary skills/knowledge:
Understanding of the space environment and communication satellites
Experience with satellite tracking and/or ranging
Demonstrated capability to efficiently work with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be evaluated favorably
Ability to lead and/or mentor junior members of the engineering team
Location: San Francisco, CA | New York City, NY
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
We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.
Responsibilities
Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on
Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts
Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks
Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse
You may be a good fit if you
Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry
Have proficiency in Python and experience building ML systems
Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems
Are worried about misuse risks of AI systems, and want to work to mitigate them
Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also have experience with
Language modeling and transformers
Building classifiers, anomaly detection systems, or behavioral ML
Adversarial machine learning or red-teaming
Interpretability or probes
Reinforcement learning
High-performance, large-scale ML systems
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:
$350,000
—
$500,000 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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
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:
We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally.
This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges.
Core Responsibilities:
Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets
Understand the needs of underserved communities and translate them into scalable technical and product solutions
Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations
Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers
Develop multilingual and accessibility capabilities across platforms
Build systems to measure and demonstrate social impact at scale
Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities
Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts
You might be a good fit if you:
Have 6+ years of practical experience as a full-stack software engineer
Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations
Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations
Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs
Care deeply about using technology for social good and want your engineering work to have meaningful impact
Have excellent collaboration skills and can work effectively with product, partnerships, and field teams
Strong candidates may also:
Experience with international markets, multilingual products, or accessibility features
Background in nonprofit technology, social impact startups, or mission-driven organizations
Experience with AI/ML products and LLM applications
Familiarity with building products for resource-constrained environments or emerging markets
Understanding of compliance requirements in regulated sectors
Startup experience, particularly in scaling products from zero to one
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$320,000
—
$405,000 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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
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 looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems.
Responsibilities:
Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent
Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications
Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process
Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams
Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates
Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends
You may be a good fit if you:
Have 5+ years of experience in full life cycle recruiting supporting technical research teams
Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations
Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies
Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities
Possess strong technical aptitude with the ability to understand and evaluate technical qualifications
Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research
Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
Have experience partnering with researchers and hiring talent that work on GenAI and LLMs
Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment
Strong candidates may also:
Bring a deep interest in AI safety research
Have experience partnering with researchers and hiring talent that work on GenAI and LLMs
Have experience with academic recruitment and research communities
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:
$175,000
—
$295,000 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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
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's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.
This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.
Responsibilities:
Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
Add new capabilities to the training codebase, such as long context support or novel architectures
Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned
You May Be a Good Fit If You:
Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
Excel at debugging complex, ambiguous problems across multiple layers of the stack
Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
Are passionate about the work itself and want to refine your craft as a research engineer
Care about the societal impacts of AI and responsible scaling
Strong Candidates May Also Have:
Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
Published research on model training, scaling laws, or ML systems
Experience with production ML systems, observability tools, or evaluation infrastructure
Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence
What Makes This Role Unique:
This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.
However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.
We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.
Location:
This role requires working in-office 5 days per week in London.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
£260,000
—
£630,000 GBP
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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
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's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.
This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.
Responsibilities:
Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
Add new capabilities to the training codebase, such as long context support or novel architectures
Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned
You May Be a Good Fit If You:
Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
Excel at debugging complex, ambiguous problems across multiple layers of the stack
Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
Are passionate about the work itself and want to refine your craft as a research engineer
Care about the societal impacts of AI and responsible scaling
Strong Candidates May Also Have:
Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
Published research on model training, scaling laws, or ML systems
Experience with production ML systems, observability tools, or evaluation infrastructure
Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence
What Makes This Role Unique:
This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.
However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.
We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.
Location:
This role requires working in-office 5 days per week in San Francisco.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$350,000
—
$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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
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 Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated.
You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals.
Responsibilities:
Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams
Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals
Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify
Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations
Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps
Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices
You may be a good fit if you have:
3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies
Experience automating workflows or building automations to handle the repeatable components of a sales process
Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Location:
This role does require being in office 4x a week in one of our hubs
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:
$290,000
—
$360,000 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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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:
Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.
Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.
Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.
You might be a good fit if you:
Have deep experience with GPU programming and optimization at scale
Are impact-driven, passionate about delivering measurable performance breakthroughs
Can navigate complex systems from hardware interfaces to high-level ML frameworks
Enjoy collaborative problem-solving and pair programming
Want to work on state-of-the-art language models with real-world impact
Care about the societal impacts of your work
Thrive in ambiguous environments where you define the path forward
Strong candidates may also have experience with:
GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization
ML Compilers & Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators
Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight
Distributed Systems: NCCL, NVLink, collective communication, model parallelism
Low-Precision: INT8/FP8 quantization, mixed-precision techniques
Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration
Representative projects:
Co-design attention mechanisms and algorithms for next-generation hardware architectures
Develop custom kernels for emerging quantization formats and mixed-precision techniques
Design distributed communication strategies for multi-node GPU clusters
Optimize end-to-end training and inference pipelines for frontier language models
Build performance modeling frameworks to predict and optimize GPU utilization
Implement kernel fusion strategies to minimize memory bandwidth bottlenecks
Create resilient systems for planet-scale distributed training infrastructure
Profile and eliminate performance bottlenecks in production serving infrastructure
Partner with hardware vendors to influence future accelerator capabilities and software stacks
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
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:
$280,000
—
$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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA, New York City, NY, Seattle, WA
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
We're looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential.
Key r
esponsibilities
Architect and implement cutting-edge iOS applications
Develop novel solutions leveraging AI technologies
Optimize performance at all levels of the mobile stack
Champion best practices in mobile development
Obsessive attention to detail and app experience
Contribute to backend systems as needed
Minimum qualifications
Expertise in Swift, UIKit, SwiftUI, and iOS frameworks
Proficiency with the latest mobile platform capabilities and intricacies
Practical experience with full-stack development and comfort working with backend technologies
A track record of shipping impactful, high-adoption mobile applications
Strong communication and mentorship skills
Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates
Preferred qualifications
0-to-1 experience building successful products in early-stage environments
Experience building applications that utilize modern ML/AI technology
3D graphics, visual effects, and audio and video streaming on mobile
A vision for the future of human-machine interaction and a drive to make that vision a reality
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:
$320,000
—
$405,000 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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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
We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential.
Key responsibilities
Architect and implement cutting-edge Android applications
Develop novel solutions leveraging AI technologies
Optimize performance at all levels of the mobile stack
Champion best practices in mobile development
Obsessive attention to detail and app experience
Contribute to backend systems as neede
Minimum qualifications
Expertise in Kotlin, Jetpack Compose, Android SDK and the broader Android ecosystem
Proficiency with the latest mobile platform capabilities and intricacies
Practical experience with full-stack development and comfort working with backend technologies
A track record of shipping impactful, high-adoption mobile applications
Strong communication and mentorship skills
Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates
Preferred qualifications
0-to-1 experience building successful products in early-stage environments
Experience building applications that utilize modern ML/AI technology
3D graphics, visual effects, and audio and video streaming on mobile
A vision for the future of human-machine interaction and a drive to make that vision a reality
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:
$320,000
—
$405,000 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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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 Team
The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.
The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities.
Responsibilities:
Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments
Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
Identify and remediate security gaps through code review, threat modeling, and hands-on debugging
Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation
You may be a good fit if you have:
At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production
Bachelor's degree in Computer Science or equivalent industry experience
Strong programming skills in Python or at least one systems language such as Go or Rust
Experience contributing to cloud security controls
A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix
Clear communication skills and the ability to work collaboratively across engineering teams
Low ego and high empathy, with a genuine interest in helping teammates succeed
Passion for AI safety and the role security engineering plays in building trustworthy AI systems
Strong candidates may also have:
Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure
Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers
Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation
Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy
Experience with eBPF for security monitoring and enforcement, or developing kernel security policies
Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE
Background building or operating security systems in environments that support research workflows and rapid iteration
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$320,000
—
$405,000 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.
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.
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're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paphos, Cyprus
About Us
INEX is a dynamic and fast-growing real estate development company specializing in high-end residential and commercial projects across Cyprus. We are committed to design excellence, sustainable construction, and delivering top-tier properties that set new benchmarks in quality and livability.
Role Overview
We are seeking a highly motivated and experienced
Project Manager
to lead and deliver residential development projects
from concept to completion
. You will be responsible for the full project lifecycle – from planning and permitting to construction, handover, and post-delivery coordination.
Key Responsibilities
Manage all phases of residential construction projects from A to Z
Coordinate design, permitting, tendering, procurement, and execution stages
Liaise with architects, engineers, consultants, contractors, and suppliers
Monitor project timelines, budgets, and deliverables to ensure quality and efficiency
Conduct regular site visits and ensure compliance with design and technical specifications
Maintain communication with internal stakeholders, clients, and local authorities
Prepare progress reports, risk assessments, and handover documentation
Ensure safety, sustainability, and cost-effectiveness of the project execution
Requirements
Minimum 4 years of experience
in construction project management or as a project manager’s assistant
Proven track record of
delivering projects from start to finish
Educational background in Architecture or Civil Engineering
(or related field)
Fluent English
;
Russian and/or Greek
is an advantage
Strong organizational, communication, and problem-solving skills
Knowledge of construction processes, permits, and local standards in Cyprus is a plus
Ability to manage multiple stakeholders and work in a fast-paced environment
Compensation
Competitive salary
Annual bonuses
linked to project deliverables and efficiency
Opportunity to work on prestigious development projects with a passionate, professional team
Location: Munich, Germany
About Our Client
Our client is a fast-growing digital strategy consultancy based in Munich, with offices in Berlin, Hamburg, and London. They specialize in data-driven digital transformation, AI and tech enablement, and transaction advisory for clients across Europe. With over 300 digital experts and more than 2,000 projects delivered in 50+ countries, they work with private equity firms, mid-sized companies, and global brands to unlock sustainable digital growth.
They combine strategic insight with hands-on execution to create measurable value in areas such as digital marketing, CRM and data systems, e-commerce, and operational excellence. They foster a dynamic and entrepreneurial work environment with flat hierarchies, fast-track career development, flexible working models, and the opportunity to shape the future of digital business.
About the Role
You jointly take on the strategic leadership and further development of the Transaction Advisory / Strategy Team with their management.
You have overall responsibility for customer acquisition, team staffing, strategic project prioritization, project execution, success, and profitability, as well as customer satisfaction.
You are responsible for the successful end-to-end implementation of international Commercial / Digital / Tech /Data Due Dilligence projects for buy-side and sell-side transactions, defining the appropriate strategy together with the customer, defining requirements, and ensuring the smooth implementation of customer projects.
You drive the further development of internal know-how (Thought Leadership) as well as the establishment of partnerships with leading large and mid-cap private equity funds.
You establish and optimize the standardization of processes and templates, including quality assurance processes for ongoing projects or newly developed solutions.
You play a proactive role in sales and pitching activities and develop new (AI) services based on current trends and industry developments.
You work closely with the Leadership Team from all departments.
You represent them and the Transaction Advisory / Strategy Team at events, trade shows, and universities.
You work together with the People & Culture Team on the further development of the Transaction Advisory / Strategy Team and support the recruitment of top talent.
Requirements
You hold a university degree with excellent performance in Computer Science, Business Administration, Economics, or a related field (an MBA is advantageous).
You have 8+ years of professional experience, focusing on (digital) strategy consulting, transaction advisory, or digital marketing.
You have expert knowledge and a deep understanding of tech, marketing and AI, as well as the latest tools and current trends in the digital sector.
You have proven experience and excellent skills in team coordination, leadership, and project management.
You have strong analytical and conceptual skills and work in a structured and results-oriented manner.
You excel in oral and written communication skills.
You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work.
You are fluent in English.
Benefits
Your impact is crucial
: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
Your hard work pays off!
You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, they promote their top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
Your development - our concern:
From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career - with them you will become a digital leader!
Your working environment:
You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of their offices in Munich, Berlin, Hamburg and London.
Your view into the future:
You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
Your benefits on top:
You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, an exclusive Wellpass membership as well as mobility and meal allowances and a wide range of other company benefits.
Location: Munich, Germany
About Our Client
Our client is a fast-growing digital strategy consultancy based in Munich, with offices in Berlin, Hamburg, and London. They specialize in data-driven digital transformation, AI and tech enablement, and transaction advisory for clients across Europe. With over 300 digital experts and more than 2,000 projects delivered in 50+ countries, they work with private equity firms, mid-sized companies, and global brands to unlock sustainable digital growth.
They combine strategic insight with hands-on execution to create measurable value in areas such as digital marketing, CRM and data systems, e-commerce, and operational excellence. They foster a dynamic and entrepreneurial work environment with flat hierarchies, fast-track career development, flexible working models, and the opportunity to shape the future of digital business.
About the Role
You take responsibility for international commercial / digital / tech / data due diligence reports for buy and sell-side transactions.
You manage analyses of (digital) business models for leading private equity clients in an international context.
You develop an equity story and (digital) value creation initiatives for portfolio companies of their private equity clients.
You identify client consulting needs, structure the problem, and independently develop solutions.
You analyze the strategic impact of artificial intelligence (AI) on business models and its application fields.
You lead project teams and coordinate with external parties.
You are responsible for the organization of core activities such as workshops, meetings, research, stakeholder engagement, business analyses, technical analyses and solution design as part of both external and internal projects.
You supervise and develop the team and support recruiting activities for new and high-potential managers.
Requirements
You hold a university degree with excellent grades in business, economics, computer science or a related discipline (Master's degree or MBA are a plus).
You bring at least 5 years of relevant work experience with a focus on (digital) strategy consulting, transaction advisory or digital marketing.
You have a strong affinity for technology, including digital marketing, technology or AI.
You demonstrate a distinct customer orientation and possess the ability to mediate between the client and the company.
You have strong analytical skills combined with a creative mind.
You possess strong Excel and PowerPoint skills.
You have excellent verbal and written communication skills.
You are a service-oriented and communicative team player with a passion for your work.
You speak fluent English and ideally German.
Benefits
Your impact is crucial
: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
Your hard work pays off!
You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, they promote their top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
Your development - our concern:
From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career - with them you will become a digital leader!
Your working environment:
You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of their offices in Munich, Berlin, Hamburg and London.
Your view into the future:
You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
Your benefits on top:
You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, an exclusive Wellpass membership as well as mobility and meal allowances and a wide range of other company benefits.
Location: Australia
Marketing & Content Strategist (20 hours per week, Remote)
Help grow a high-performing design brand with a strong following, real results — and huge opportunity.
Sharp, self-driven marketer who knows how to turn ideas into income?
I run a well-established interior design and renovation brand with:
Strong Instagram presence
Solid organic website traffic
Successful digital products
A new course in development — and big growth goals
I’m looking for someone who can step in and help
drive revenue
through content, smart marketing, and better product visibility.
What They’ll Be Doing:
Reviewing existing offers, emails, and website pages to
boost conversions
Writing and repurposing content across Instagram, blog, email, and YouTube
Setting up and managing
affiliate income streams
(Amazon + select brand links)
Helping refine and position a
new flagship course
for launch
Advising on content, funnels, and brand partnerships that make sense
Making fast, strategic decisions that add value and grow the business
About The Ideal Candidates:
You’re not just a content creator — you
think like a marketer
You know how to
write with clarity
, drive action, and move people from interest to purchase
You’re
self-motivated
, organised, and love making things better
You’ve worked with digital products, creators, educators or ecommerce brands
You’re confident across content (short-form, long-form), email marketing, and growth strategy
You take initiative and don’t need micromanaging — you make things happen
About Me:
I’m an interior designer, educator, and content creator with a results-driven renovation brand. My work helps renovators and designers plan better homes with less waste, better function, and higher value. I'm focused on smart design, timeless choices, and strong outcomes — and I want my business to reflect that too.
Logistics:
Remote, part-time (starting 2–3 days/week with potential to grow)
Flexible hours, outcome-focused — I care more about
results than time at a desk
Ideally based in Australia or a time zone that overlaps
Requirements
Proven experience driving revenue in a
content-driven or product-based online business
Experience with
digital products
,
courses
, or
affiliate programs
Strong writing and communication skills — you can write a funnel, caption, and blog in my tone
Knowledge of
basic UX and CRO
(conversion rate optimisation)
Experience with
email marketing
(e.g., Klaviyo, Mailchimp, ConvertKit, Flodesk etc.)
Demonstrated ability to work independently and
take initiative
Strong understanding of Instagram, SEO content, and/or YouTube repurposing
You’ve worked with (or understand) the lifestyle, design, or interiors space
Benefits
Work remotely for an exciting company in Australia
Flexible schedules.
Work from anywhere.
Location: New Zealand
Marketing & Content Strategist (20 hours per week, Remote)
Help grow a high-performing design brand with a strong following, real results — and huge opportunity.
Sharp, self-driven marketer who knows how to turn ideas into income?
I run a well-established interior design and renovation brand with:
Strong Instagram presence
Solid organic website traffic
Successful digital products
A new course in development — and big growth goals
I’m looking for someone who can step in and help
drive revenue
through content, smart marketing, and better product visibility.
What They’ll Be Doing:
Reviewing existing offers, emails, and website pages to
boost conversions
Writing and repurposing content across Instagram, blog, email, and YouTube
Setting up and managing
affiliate income streams
(Amazon + select brand links)
Helping refine and position a
new flagship course
for launch
Advising on content, funnels, and brand partnerships that make sense
Making fast, strategic decisions that add value and grow the business
About The Ideal Candidates:
You’re not just a content creator — you
think like a marketer
You know how to
write with clarity
, drive action, and move people from interest to purchase
You’re
self-motivated
, organised, and love making things better
You’ve worked with digital products, creators, educators or ecommerce brands
You’re confident across content (short-form, long-form), email marketing, and growth strategy
You take initiative and don’t need micromanaging — you make things happen
About Me:
I’m an interior designer, educator, and content creator with a results-driven renovation brand. My work helps renovators and designers plan better homes with less waste, better function, and higher value. I'm focused on smart design, timeless choices, and strong outcomes — and I want my business to reflect that too.
Logistics:
Remote, part-time (starting 2–3 days/week with potential to grow)
Flexible hours, outcome-focused — I care more about
results than time at a desk
Ideally based in Australia or a time zone that overlaps
Requirements
Proven experience driving revenue in a
content-driven or product-based online business
Experience with
digital products
,
courses
, or
affiliate programs
Strong writing and communication skills — you can write a funnel, caption, and blog in my tone
Knowledge of
basic UX and CRO
(conversion rate optimisation)
Experience with
email marketing
(e.g., Klaviyo, Mailchimp, ConvertKit, Flodesk etc.)
Demonstrated ability to work independently and
take initiative
Strong understanding of Instagram, SEO content, and/or YouTube repurposing
You’ve worked with (or understand) the lifestyle, design, or interiors space
Benefits
Work remotely for an exciting company in Australia
Flexible schedules.
Work from anywhere.
Location: Indonesia
Marketing & Content Strategist (20 hours per week, Remote)
Help grow a high-performing design brand with a strong following, real results — and huge opportunity.
Sharp, self-driven marketer who knows how to turn ideas into income?
I run a well-established interior design and renovation brand with:
Strong Instagram presence
Solid organic website traffic
Successful digital products
A new course in development — and big growth goals
I’m looking for someone who can step in and help
drive revenue
through content, smart marketing, and better product visibility.
What They’ll Be Doing:
Reviewing existing offers, emails, and website pages to
boost conversions
Writing and repurposing content across Instagram, blog, email, and YouTube
Setting up and managing
affiliate income streams
(Amazon + select brand links)
Helping refine and position a
new flagship course
for launch
Advising on content, funnels, and brand partnerships that make sense
Making fast, strategic decisions that add value and grow the business
About The Ideal Candidates:
You’re not just a content creator — you
think like a marketer
You know how to
write with clarity
, drive action, and move people from interest to purchase
You’re
self-motivated
, organised, and love making things better
You’ve worked with digital products, creators, educators or ecommerce brands
You’re confident across content (short-form, long-form), email marketing, and growth strategy
You take initiative and don’t need micromanaging — you make things happen
About Me:
I’m an interior designer, educator, and content creator with a results-driven renovation brand. My work helps renovators and designers plan better homes with less waste, better function, and higher value. I'm focused on smart design, timeless choices, and strong outcomes — and I want my business to reflect that too.
Logistics:
Remote, part-time (starting 2–3 days/week with potential to grow)
Flexible hours, outcome-focused — I care more about
results than time at a desk
Ideally based in Australia or a time zone that overlaps
Requirements
Proven experience driving revenue in a
content-driven or product-based online business
Experience with
digital products
,
courses
, or
affiliate programs
Strong writing and communication skills — you can write a funnel, caption, and blog in my tone
Knowledge of
basic UX and CRO
(conversion rate optimisation)
Experience with
email marketing
(e.g., Klaviyo, Mailchimp, ConvertKit, Flodesk etc.)
Demonstrated ability to work independently and
take initiative
Strong understanding of Instagram, SEO content, and/or YouTube repurposing
You’ve worked with (or understand) the lifestyle, design, or interiors space
Benefits
Work remotely for an exciting company in Australia
Flexible schedules.
Work from anywhere.
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