Key Responsibilities:

• Support ML/AI prototyping efforts: build and test quick-turn proof-of-concept models (e.g., predictive maintenance, driver-assistant features, generative-AI interfaces).
• Assist with data-pipeline development & validation for in-vehicle or cloud-based datasets (ingestion, cleaning, feature engineering, monitoring).
• Conduct business-case scouting: benchmark emerging AI applications, assess market potential, and prepare concise opportunity briefs for leadership.
• Help craft internal dashboards, KPIs, and reports to track experiment outcomes and knowledge transfer.
• Participate in cross-functional workshops, giving input on feasibility, timelines, and resource needs.
• Contribute to hardware-to-AI connectivity tests (CAN, Ethernet, sensors, edge devices) to verify end-to-end data flow from the vehicle to AI services.

Requirements:

• Actively pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical/Systems Engineering, Business Analytics, or a closely related field.
• Interest in AI & automotive technology and a desire to work hands-on with data and hardware.
• Familiarity with Python (or similar) and basic data-analysis workflows.
• Excellent written and verbal communication skills in English; German a plus.
• Strong organisational skills, self-motivation, and integrity when handling sensitive data.
• Ability to work on-site in Los Angeles up to 40 hours per week.

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As an Analytics Engineer, you will design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform. You will partner with AI analysts, ML scientists, engineers, and business teams to understand data needs and ensure accurate, reliable, and ergonomic data solutions. You will lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows. You will conduct data analysis and build custom models to support strategic business decisions and performance measurement. You will streamline data collection and reporting processes to reduce manual effort and improve efficiency. You will create scalable solutions like unified data pipelines and access control systems to meet evolving organisational needs. You will work with partner teams to align data collection with long-term analytics and feature development goals.

We're looking for someone who writes advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code. You should be familiar with the modern data stack, including dbt and Snowflake. You should have a growth mindset and eagerness to learn. You should exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs. You should practice excellent communication skills, and you should tailor explanations of technical concepts to a variety of audiences.

Nice to have: exposure to Apache Airflow or other DAG frameworks, worked in Tableau, Looker, or similar visualization/business intelligence platform, experience with operational tools and business systems like Google Analytics, Marketo, Salesforce, Segment, or Stripe, familiarity with Python.

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You'll define the installation standards, configuration baselines, and deployment processes that the broader team executes against , from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You'll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic's infrastructure before going live. Your work will directly determine whether Anthropic's security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint.

Responsibilities:

• Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations

• Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations

• Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform

• Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production

• Support colleagues' security applications through InfoSec review processes, ensuring new tools meet Anthropic's information security and compliance requirements

• Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams

• Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion

• Initiate onboarding of deployed hardware and systems into Anthropic's health monitoring platform to ensure operational visibility from day one

• Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites

• Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale

• Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment

• Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently

Requirements:

• 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization

• Experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments

• Strong technical communication skills, with the ability to define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity

• Experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices

• Comfortable with 25% travel for site deployments, commissioning, and validation

Preferred Qualifications:

• Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments

• Experience with Anthropic's specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai, Ambient.ai, SureView, Envoy

• Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP

• Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems

• Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation

• Experience with health monitoring and observability platforms

• Experience with change management, configuration control, and version-controlled infrastructure documentation

Salary Range: $175,000-$220,000 USD

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As a research engineer, you'll partner with the product org to ensure that the vision improvements you deliver impact Claude's performance on real-world tasks. You'll also work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning.

Strong candidates may also have experience with large-scale pretraining, SL, and RL on language models, deep learning research on images, video, or other modalities, developing complex agentic systems using LLMs, high-performance ML systems (GPUs, TPUs, JAX, PyTorch), and large-scale ETL and data pipeline development.

The annual compensation range for this role is $350,000-$850,000 USD.

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We're looking for research engineers with a strong computer vision background who believe that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. In this role, you'll work on research, development, and evaluation for state-of-the-art Claude models, with a focus on visual and spatial capabilities.

What you'll do:

• Run experiments to evaluate architectural variants, data strategies, and SL and RL techniques to improve Claude's vision

• Develop and test tools, skills, and agentic infrastructure that enable Claude to reason over visual inputs

• Create evaluations and benchmarks that measure progress on multimodal capabilities across training and deployment

• Work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning

You may be a good fit if you:

• Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects

• Are familiar with the architecture, training, and operation of large vision language models

• Have experience creating and evaluating large synthetic and real-world visual training datasets

• Have experience engaging in systematic prompting, finetuning, or evaluation

• Are results-oriented, with a bias towards flexibility and impact

• Enjoy pair programming and cross-team collaboration

• Care about the societal impacts of your work

Strong candidates may also have experience with:

• Large-scale pretraining, SL, and RL on language models

• Deep learning research on images, video, or other modalities

• Developing complex agentic systems using LLMs

• High-performance ML systems (GPUs, TPUs, JAX, PyTorch)

• Large-scale ETL and data pipeline development

Representative projects:

• Running experiments to determine ideal training datamixes and parameters for a synthetically generated vision dataset

• Finetuning Claude to maximise its performance using a particular set of agent tools/skills

• Building a pipeline to ingest and process a novel source of visual training data

• Designing and running experiments to evaluate the scalability of two architectural variants

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• 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.

• 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 reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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 our recent research. This research can be found on our website.

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