Portfolio jobs

Discover opportunities with Lionheart Ventures and our portfolio companies.

Software Engineer, Data Infrastructure

Anthropic

Anthropic

Software Engineering, Other Engineering
San Francisco, CA, USA · New York, NY, USA · Seattle, WA, USA
Posted on Saturday, May 11, 2024

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 seeking a talented Data Infrastructure Engineer to join our Data Infrastructure team. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers Anthropic's AI research and products. You will work closely with our machine learning researchers, engineers, and product teams to ensure that our data pipelines are efficient, scalable, and reliable.

Responsibilities:

  • Design, implement, and maintain data infrastructure using technologies such as Spark, Airflow, dbt, and Google Cloud Platform (GCP) services like Cloud Composer, Pub/Sub, and BigQuery and/or comparable AWS services
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale datasets from various sources, including AWS and GCP
  • Collaborate with cross-functional teams to understand data requirements and deliver data solutions that meet their needs
  • Implement data governance best practices, including access controls, data retention policies, and on-demand deletion capabilities
  • Monitor and troubleshoot data infrastructure to ensure high availability and performance
  • Continuously improve our data infrastructure by researching and adopting new technologies and best practices
  • Set technical strategy and oversee development of high scale, reliable data infrastructure and pipelines covering compute, storage, orchestration, governance and visualization.
  • Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice

You may be a good fit if you:

  • Have 8+ years of relevant industry experience, with 3+ years in data platform or infra roles
  • Are obsessed with data infrastructure, platforms and data pipelines and have worked on data at scale
  • Have strong proficiency in Python and SQL
  • Have experience with big data processing frameworks such as Spark and Flink
  • Have experience with workflow orchestration tools such as Airflow or Cloud Composer
  • Have experience with data transformation tools like dbt and Spark
  • Have familiarity with cloud platforms
  • Have strong problem-solving skills and ability to work independently
  • Have excellent communication and collaboration skills and are passionate about supporting internal partners like research to understand their needs
  • Possess deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP

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

The expected salary range for this position is:

Annual Salary:
$300,000$485,000 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.

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. 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*

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.
  • 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 - 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.

* 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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 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.