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Machine Learning Infrastructure Engineer, Safeguards Research

AnthropicSan Francisco, CA | New York City, NYAI Research & Engineering
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Salary
Not listed
Job type
Full-time
Posted
21 Jul 2026
Status
Open · checked 7d ago

About this role

The Machine Learning Infrastructure Engineer role at Anthropic involves building and scaling the systems that detect and mitigate AI model misuse in San Francisco, CA or New York City, NY. This position suits an experienced software professional eager to develop deep machine learning expertise while owning vital research and production tooling.

Role Overview

Anthropic is hiring a Machine Learning Infrastructure Engineer to support the Safeguards team. This position bridges research and production by creating the internal tooling, pipelines, and abstractions that researchers use to train, evaluate, and scale lightweight detection methods. The work directly contributes to the company's Responsible Scaling Policy commitments by identifying harmful behavior efficiently across evolving models.

Key Responsibilities

Build and scale the data pipelines and infrastructure dedicated to Safeguards machine learning research.
Manage workflows for training, scoring, and evaluation to accelerate the journey from an initial concept to a finished result.
Design command-line tools, libraries, and user interfaces that allow researchers to operate independently of underlying systems.
Implement sanity checking and correctness measures to ensure data integrity as workloads and models shift.
Transition high-value exploratory experiments into dependable, production-ready jobs.
Enhance the reliability, cost-efficiency, and throughput of large-scale scoring and inference workloads.
Collaborate closely with Safeguards engineers and researchers to anticipate future infrastructure needs and design solutions proactively.

Requirements

Strong software engineering foundation with hands-on coding proficiency in Python.
Experience in building and running distributed or data-intensive systems within a production environment.
Background in developing infrastructure or tooling consumed by other engineers or researchers as a dependency.
Ability to manage work across the complete pipeline, transitioning smoothly from exploratory setups to production.
Skill in debugging performance and correctness issues across unfamiliar technical stacks.
Excellent written and verbal communication abilities paired with a collaborative mindset.
Minimum education of a Bachelor’s degree in a relevant field or an equivalent combination of training, education, and professional experience.
Alignment with the location-based hybrid policy requiring presence in an office at least 25% of the time.

Nice to Have

Practical experience with large-scale, high-performance machine learning systems.
Familiarity with transformers, language modeling, and interacting with model internals.
Exposure to accelerator or GPU programming, machine learning framework internals, or inference optimization.
Background in building evaluation harnesses, caching layers, or experiment tracking tools for research groups.
Experience working with classifier development, interpretability, or probes.
Demonstrated interest in mitigating the misuse risks associated with artificial intelligence.

Skills and Tools

Python
Distributed and data-intensive systems
Machine learning infrastructure and experiment tracking tooling
Inference optimization and large-scale scoring pipelines

Salary and Benefits

Annual base salary ranging from $350,000 to $500,000 USD.
Visa sponsorship provided with dedicated immigration lawyer support.
Competitive compensation package including optional equity donation matching.
Generous parental leave and vacation time.
Flexible working hours within a collaborative office environment.

About the Company

Anthropic operates as a public benefit corporation focused on building reliable, interpretable, and steerable artificial intelligence systems that remain beneficial to society. The organization treats AI research as an empirical science, functioning as a single cohesive team tackling large-scale objectives rather than isolated puzzles. Employees benefit from a highly collaborative culture dedicated to ethical AI advancement.

How to Apply

Interested candidates should visit the official Anthropic careers page to submit an application and review open positions securely.

Skills and tech stack

Python

Questions candidates ask

What is the salary range for the Machine Learning Infrastructure Engineer role?

The annual salary for this position ranges from $350,000 to $500,000 USD.

Where is this position located?

The role is based in San Francisco, CA or New York City, NY, with a location-based hybrid policy requiring staff to be in the office at least 25% of the time.

Does Anthropic offer visa sponsorship for this job?

Yes, Anthropic does sponsor visas for eligible candidates and provides assistance through an immigration lawyer.

What programming language is required?

Candidates must have hands-on coding proficiency and strong software engineering fundamentals in Python.

What does the Safeguards team do at Anthropic?

The Safeguards team builds systems that detect and mitigate misuse of AI models, ranging from individual policy violations to coordinated attacks, using methods trained on model internals.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site