Anthropic
Performance Engineer
Anthropic, San Francisco, California, United States, 94199
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:
Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.
You may be a good fit if you:Have significant software engineering or machine learning experience, particularly at supercomputing scaleAre results-oriented, with a bias towards flexibility and impactPick up slack, even if it goes outside your job descriptionEnjoy pair programming (we love to pair!)Want to learn more about machine learning researchCare about the societal impacts of your workStrong candidates may also have experience with:High performance, large-scale ML systemsGPU/Accelerator programmingML framework internalsOS internalsLanguage modeling with transformersRepresentative projects:Implement low-latency high-throughput sampling for large language modelsImplement GPU kernels to adapt our models to low-precision inferenceWrite a custom load-balancing algorithm to optimize serving efficiencyBuild quantitative models of system performanceDesign and implement a fault-tolerant distributed system running with a complex network topologyDebug kernel-level network latency spikes in a containerized environmentDeadline to apply:
None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$315,000-$625,000 USD
Logistics
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.
Compensation and Benefits for Full-Time Employees*
Anthropic's compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity
-
For eligible roles , equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits for Full-Time Employees
- The following benefits are for our US-based employees:
Optional equity donation matching.Comprehensive health, dental, and vision insurance for you and all your dependents.401(k) plan with 4% matching.22 weeks of paid parental leave.Unlimited PTO - most staff take between 4-6 weeks each year, sometimes more!Stipends for education, home office improvements, commuting, and wellness.Fertility benefits via Carrot.Daily lunches and snacks in our office.Relocation support for those moving to the Bay Area.UK Benefits for Full-Time Employees
- The following benefits are for our UK-based employees:
Optional equity donation matching.Private health, dental, and vision insurance for you and your dependents.Pension contribution (matching 4% of your salary).21 weeks of paid parental leave.Unlimited PTO - most staff take between 4-6 weeks each year, sometimes more!Health cash plan.Life insurance and income protection.Daily lunches and snacks in our office.
* This compensation and benefits information is based on Anthropic's good faith estimate for this position as of the date of publication and may be modified in the future.
Employees based outside of the UK or US will receive a different benefits package.
The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.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.
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:
Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.
You may be a good fit if you:Have significant software engineering or machine learning experience, particularly at supercomputing scaleAre results-oriented, with a bias towards flexibility and impactPick up slack, even if it goes outside your job descriptionEnjoy pair programming (we love to pair!)Want to learn more about machine learning researchCare about the societal impacts of your workStrong candidates may also have experience with:High performance, large-scale ML systemsGPU/Accelerator programmingML framework internalsOS internalsLanguage modeling with transformersRepresentative projects:Implement low-latency high-throughput sampling for large language modelsImplement GPU kernels to adapt our models to low-precision inferenceWrite a custom load-balancing algorithm to optimize serving efficiencyBuild quantitative models of system performanceDesign and implement a fault-tolerant distributed system running with a complex network topologyDebug kernel-level network latency spikes in a containerized environmentDeadline to apply:
None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$315,000-$625,000 USD
Logistics
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.
Compensation and Benefits for Full-Time Employees*
Anthropic's compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity
-
For eligible roles , equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits for Full-Time Employees
- The following benefits are for our US-based employees:
Optional equity donation matching.Comprehensive health, dental, and vision insurance for you and all your dependents.401(k) plan with 4% matching.22 weeks of paid parental leave.Unlimited PTO - most staff take between 4-6 weeks each year, sometimes more!Stipends for education, home office improvements, commuting, and wellness.Fertility benefits via Carrot.Daily lunches and snacks in our office.Relocation support for those moving to the Bay Area.UK Benefits for Full-Time Employees
- The following benefits are for our UK-based employees:
Optional equity donation matching.Private health, dental, and vision insurance for you and your dependents.Pension contribution (matching 4% of your salary).21 weeks of paid parental leave.Unlimited PTO - most staff take between 4-6 weeks each year, sometimes more!Health cash plan.Life insurance and income protection.Daily lunches and snacks in our office.
* This compensation and benefits information is based on Anthropic's good faith estimate for this position as of the date of publication and may be modified in the future.
Employees based outside of the UK or US will receive a different benefits package.
The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.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.