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Added 12 mins ago
Research Engineer, Cybersecurity RL
Anthropic
San Francisco, CA · New York City, NY
The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release,…
Added 36 mins ago
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Principal Software Engineering - Reliability and FinOps Engineer
AT&T
Bothell, WA
- $155,400 to $261,100 USD / year
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Added 37 mins ago
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Seattle, WA
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Added 57 mins ago
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Sr Controls Engineer
The Walt Disney Company
Anaheim, CA
- $130,800 to $159,800 USD / year
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Added 57 mins ago
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Meta
Menlo Park, CA
Software Engineer, Machine Learning (Technical Leadership) - Ads Products Responsibilities:
Added 57 mins ago
Software Engineer, Machine Learning - Ads Products
Meta
Menlo Park, CA
…advertiser-facing side of that work, end to end: the campaign and optimization products that drive advertiser results; the business experiences where advertisers plan, create, and manage…
Added 57 mins ago
Software Engineer, Product - Ads Products
Meta
Menlo Park, CA
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy,…
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San Francisco, CA · Sunnyvale, CA
Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms…
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Engineer I, Software - Perception - New Grad - 6135
Shield AI
Washington, DC
- $77,200 to $211,200 USD / year
As an entry-level engineer, you will develop and validate well-defined perception features, tools, or tests alongside experienced engineers. This full-time role builds on coursework or…
Added 1 hour ago
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Research Crawling Engineer
True Talent Solutions Partners
Remote, United States
- $160,000 to $250,000 USD / year
- Experience with NLP pipelines or machine learning dataset curation is a plus.
Added 1 hour ago
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Software Engineer, Marketplace
True Talent Solutions Partners
San Francisco, CA
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Added 1 hour ago
Senior Machine Learning Engineer
Canopy
Remote, United States
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Added 2 hours ago
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Apple
Cupertino, CA · Sunnyvale, CA
Background as a Machine Learning Engineer or Full-Stack Developer with a strong interest in autonomous systems.
Added 2 hours ago
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Amazon.com Services LLC
Wilmington, MA · North Reading, MA
At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across…
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Founding Applied AI Engineer
Clera
San Francisco, CA
- $180,000 to $230,000 USD / year
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Remote, United States
- Partner with machine learning and infrastructure teams to deliver deployments that meet customer expectations.
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Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 2 hours ago
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C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…
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AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 2 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 2 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 2 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 2 hours ago
AI Data Engineer
C the Signs
Remote, United States
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data…
Added 2 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing,…

Anthropic

Research Engineer, Cybersecurity RL

San Francisco, CA, United States
New York City, NY, United States

$500,000 - $850,000 USD

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Job details

Pay: $500,000 - $850,000 USD
Posting language: English
Posted: Nov 8, 2026

Original job description

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 Horizons

The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models.

About the role

We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity.

This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.

The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows.

You may be a good fit if you:

• Have experience in cybersecurity research.

• Have experience with machine learning.

• Have strong software engineering skills.

• Can balance research exploration with engineering implementation.

• Are passionate about AI's potential and committed to developing safe and beneficial systems.

Strong candidates may also have:

• Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.

• Experience participating in or building CTF competitions and cyber ranges.

• Academic research experience in cybersecurity.

• Familiarity with RL techniques and environments.

• Familiarity with LLM training methodologies.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$500,000 - $850,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links - visit anthropic.com/careers directly for confirmed position openings.

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 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 headquartered 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Skills

Research
Cybersecurity
Machine learning
Sales
Logistics
Communication skills

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