Research Engineer

You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important.You may be a good fit if you:Have significant software engineering experienceAre 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 systemsGPUs, Kubernetes, Pytorch, or OS internalsLanguage modeling with transformersReinforcement learningLarge-scale ETLRepresentative projects:Optimizing the throughput of a new attention mechanismComparing the compute efficiency of two Transformer variantsMaking a Wikipedia dataset in a format models can easily consumeScaling a distributed training job to thousands of GPUsWriting a design doc for fault tolerance strategiesCreating an interactive visualization of attention between tokens in a language modelAnnual Salary:The expected salary range for this position is $280k - $520k USD.LogisticsLocation-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.Compensation and Benefits*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 - On top of this position's salary (listed above), 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 - The following benefits are for our US-based employees:Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.Comprehensive health, dental, and vision insurance for you and all your dependents.401(k) plan with 4% matching.21 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 - The following benefits are for our UK-based employees:Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.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.How we're differentWe 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.Come work with us!Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

#J-18808-Ljbffr