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    Software Developer/Security Engineer - San Francisco, CA, United States - Karkidi

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    Description
    Anthropic is working on frontier AI research that has the potential to transform how humans and machines interact.

    In this role, you'll be helping to build and institute controls to lock down our AI training pipelines, apply security architecture patterns built for adversarial environments, and secure our model weights as we scale model capabilities.

    Our interdisciplinary team has experience across ML, physics, policy, business and product.

    Design and implement secure-by-default controls as they relate to our software supply chain, AI model training systems, and deployment environments.

    Perform security architecture reviews, threat modeling, and vulnerability assessments to identify and remediate risks.
    Support Anthropic's responsible disclosure and bug bounty programs and participate in the Security Engineering team's on-call rotation.

    Accelerate the development of Anthropic's security engineers through mentorship and coaching, and contribute to company building activities like interviewing.

    Help build greater security awareness across the organization and coach engineers on secure coding practices.

    Lead and contribute towards large efforts such as building multi-party authorization for AI-critical infrastructure, helping to reduce sensitive production access, and securing build pipelines.

    Have 8+ years of software development experience with a security focus.
    Experience building and scaling a Security program. Are proficient in languages like Rust, Python, Javascript/Typescript.
    Care about AI safety risk scenarios
    ~ Machine learning experience or knowledge

    Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

    Applications will be reviewed on a rolling basis.

    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.

    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. 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.
    ~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.

    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).
    ~Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more
    ~ Health cash plan.
    ~ Daily lunches and snacks in our office.

    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.

    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.

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

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