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Anomaly Detection Intern Jobs (NOW HIRING)

Haize Labs

Software Engineer Intern

New York, NY

$100K - $125K/yr

Observability and anomaly detection * Discrete optimization (with applications in architecture search and automated prompting) Our work is both intellectually stimulating and practically useful. Your ...

Haize Labs

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

Observability and anomaly detection * Discrete optimization (with applications in architecture search and automated prompting) Our work is both intellectually stimulating and practically useful. Your ...

Nokia

AI R&D Engineer Co-op

Sunnyvale, CA · On-site

$20.10 - $70.40/hr

AI/ML Model Development Intern Number of Position(s): 1 Duration: 4 Months Date: September 8- ... anomaly detection, root-cause analysis, and more. * Optimize existing machine learning models and ...

The Pennsylvania State University

$14.75 - $19.75/hr

Interns will have the opportunity to develop cutting-edge AI/ML techniques to solve problems in signal processing and anomaly detection. ARL is an authorized DoD SkillBridge partner and welcomes all ...

CertiK

Security Research Internship

New York, NY · On-site +1

$3K - $8K/mo

We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud ...

CertiK

Security Research Internship

New York, NY · Remote

$3K - $8K/mo

We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud ...

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Anomaly Detection Intern information

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How much do anomaly detection intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for anomaly detection intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Anomaly Detection Intern, and why are they important?

To thrive as an Anomaly Detection Intern, you need a solid background in statistics, data analysis, and programming, often supported by ongoing studies in computer science, mathematics, or a related field. Familiarity with Python, machine learning libraries (like scikit-learn or TensorFlow), and data visualization tools is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly are important soft skills. These abilities are crucial for accurately identifying data anomalies, collaborating with team members, and contributing to effective data-driven decision-making.

What types of projects do Anomaly Detection Interns typically work on, and how do they contribute to the team’s goals?

As an Anomaly Detection Intern, you’ll often work on real-world datasets to identify unusual patterns or outliers that could indicate issues such as fraud, system failures, or security breaches. You may be tasked with developing and testing machine learning models, analyzing data trends, and collaborating with data scientists and engineers to refine detection algorithms. This hands-on work directly supports the team by improving the accuracy and efficiency of automated monitoring systems, helping organizations respond proactively to potential problems.

What does an Anomaly Detection Intern do?

An Anomaly Detection Intern assists in identifying unusual patterns or outliers in data, which may indicate errors, fraud, or significant events. They typically work with large datasets, using statistical methods and machine learning algorithms to detect anomalies. Interns may support data preprocessing, model development, and result analysis under the supervision of experienced data scientists or engineers. Their work helps organizations uncover hidden issues or opportunities, improving decision-making and operational efficiency.
What are the most commonly searched types of Anomaly Detection jobs? The most popular types of Anomaly Detection jobs are:
Infographic showing various Anomaly Detection Intern job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Temporary. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Software Engineer Intern

Haize Labs

New York, NY

$100K - $125K/yr

Other

Posted 28 days ago

Job description

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them.

We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on:

  1. Data-efficient alignment of evaluation models
  2. Dynamic testing of AI applications
  3. Observability and anomaly detection 
  4. Discrete optimization (with applications in architecture search and automated prompting)

Our work is both intellectually stimulating and practically useful. Your work will result in net-new primitives, frameworks, and algorithms for developing robust LLM applications. You work will directly influence how LLM apps are tested, verified, and deployed everywhere. 

Annual Salary

$100,000 - $125,000 USD

Responsibilities
  • Work directly with customers to adapt our core R&D for different domains.
  • Build out core infra, cloud tooling, and UX around our algorithms.
  • Ship delightful tools that are used by AI application developers all across the world. 
Qualifications
  • High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.
  • Strong open source presence or strong track record of software engineering projects and employment.
  • Experience with ML in an applied setting.
  • Can ramp up quickly to understand our research.
Logistics
  • Location policy: In NYC.
  • US visa sponsorship: If you are exceptional, we will sponsor.
  • Compensation and Benefits: We provide generous salary, equity, and benefits
We're Not Here to Play Games.

We're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready. 

Since our company's inception in 2024, we've amassed amazing customers like OpenAI, Anthropic, AI21, and several others. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous robustification. And we're backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more.

Our core team is exceptionally fit for this mission. We turned down Stanford PhDs, got into & rejected Y Combinator, wrote ML-guided matchmaking for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and more.

We can only serve our mission with an incredibly high talent-density team. Come here to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

Apply