Degree in Computer Engineering
Aartificial intelligence, Big Data Technology, Debugging, Linux Operating system, Machine learning techniques, Python Programming, Terraform
The systems we build are the foundation to our research. You'll touch all parts of our code and infrastructure, whether that’s building large-scale distributed systems, improving the robustness and reliability of large language model training, optimizing network architecture, or improving our developer tooling. This role offers an opportunity for a strong systems engineer to work closely with ML engineers and researchers to support cutting-edge ML research and deployment.
This role is remote-friendly, and we encourage non-Pacific TZ candidates to apply.
You might be a good fit if you
Strong candidates may also have experience with some of the following
How we're different
Annual Salary (USD)
Hybrid policy: While we typically require all staff to be in-person 25% of the time, this role is remote-friendly, and we encourage non-Pacific TZ candidates to apply.
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.
Benefits - Benefits we offer include:
This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. 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 ourrecent 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, andLearning from Human Preferences.
Company-wide hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time. However, different roles may have different requirements - if this role has a different preference, it will be noted above.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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.
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.
Anthropic, a public-benefit corporation and AI startup based in the United States, was established by former members of OpenAI. The company's primary focus is on creating general AI systems and language models, while maintaining a philosophy of responsible AI use.