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Engineer - Software Engineering

4 months ago

West Yorkshire, United Kingdom Anthropic Full time €300,000 - €485,000

Remote-Friendly (Travel-Required), San Francisco, CA, Seattle, WA, New York City, NY
Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Data Infrastructure: The Data Infrastructure team is responsible for designing, building, and maintaining the data infrastructure that powers our AI research and products. You will collaborate with cross-functional teams to understand data requirements, deliver efficient and reliable data solutions, and continuously improve our data infrastructure. Your role will involve building and optimizing data pipelines, implementing data governance best practices, monitoring and troubleshooting, and setting technical strategies for high-scale, reliable data infrastructure and pipelines. You will work with technologies such as Spark, Airflow, dbt, and cloud services from GCP and AWS, while designing processes to ensure effective team operation and continuous improvement.
As an SRE at Anthropic, you will design and implement scalable solutions, collaborate with development teams to improve infrastructure reliability, and establish monitoring systems, SLOs, and SLIs. Your work will be crucial in ensuring Anthropic is able to continue reliably and safely training frontier models. You will be responsible for building systems and running large Kubernetes clusters with GPU/TPU/Tranium workloads.
Observability team is responsible for designing, building, and maintaining the observability infrastructure that ensures the reliability, performance, and efficiency of our AI systems and services. Your role will involve developing a config-driven approach to manage dashboards and alerts, implementing structured logging and tracing, optimizing the observability stack, and building a reliable system that requires minimal maintenance. You will foster a culture of operational excellence, proactive monitoring, and continuous improvement by providing managed, centralized, and usable observability tools.
Consult with different stakeholders to deeply understand infrastructure, data and compute needs, identifying potential solutions to support frontier research and product development
Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice
Have 4+ years of relevant industry experience, 1+ years leading large scale, complex projects or teams as an engineer or tech lead
Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
Possess deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP
Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
Low level systems experience, for example linux kernel tuning and eBPF 
Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems
Location-based hybrid policy: US 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 effort to get you into the United States, and we retain an immigration lawyer to help with this.
We think AI systems like the ones we're building have enormous social and ethical implications. 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.
Comprehensive health, dental, and vision insurance for you and all your dependents.
~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.
~ Daily lunches and snacks in our office.
~ Relocation support for those moving to the Bay Area.

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.
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. GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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.
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