# Senior Machine Learning Engineer, GenAI Security

Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 216,700                             - 303,400Department  [Software Engineering](https://jobicy.com/categories/engineering.md) Employment type Full Time, Job posted5 Jul 2026Apply before5 Aug 2026Experience level  Senior
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###  AI Summary

Reddit is seeking a Senior Machine Learning Engineer for its GenAI Security team to develop ML models that protect AI traffic from security risks like prompt injection and data exfiltration. The role involves owning the full ML lifecycle, from problem definition to deployment and monitoring, using deep learning architectures. The ideal candidate has 5+ years of production ML experience and expertise in frameworks like PyTorch or TensorFlow. This is a high-impact position within a large, fast-paced tech company. The position offers a competitive salary in the range of $216,700-$303,400.

### Role DNA

Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative

AI Insight The role requires deep expertise in machine learning, security, and production systems, making it challenging but not the hardest level.

### Salary Analysis

Median  Highly Competitive  USD260,050US Market USD140k – 350k 0 USD385k      AI Insight The offered salary range of $216,700-$303,400 is competitive for a senior ML engineer focused on GenAI security, aligning with top-tier tech companies.

### Core Skills Required

[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [Deep Learning](https://jobicy.com/jobs?search_keywords=Deep+Learning.md) [PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md) [TensorFlow](https://jobicy.com/jobs?search_keywords=TensorFlow.md) [GenAI Security](https://jobicy.com/jobs?search_keywords=GenAI+Security.md) [MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md) [LLM](https://jobicy.com/jobs?search_keywords=LLM.md) [Anomaly Detection](https://jobicy.com/jobs?search_keywords=Anomaly+Detection.md) [Data Pipelines](https://jobicy.com/jobs?search_keywords=Data+Pipelines.md)

### Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Senior Machine Learning Engineer, GenAI Security position at Reddit. With over 5 years of experience building and deploying production ML models, I have a strong track record in developing security-focused AI systems. My expertise in deep learning, MLOps, and adversarial evaluation aligns perfectly with the responsibilities of this role.

I am particularly drawn to Reddit's mission of securing AI traffic and building defense-in-depth systems. I look forward to contributing to the GenAI Security team's success.

Sincerely, [Your Name]

Copy

### Sample Interview Questions

How would you approach building a guardrail model for prompt injection detection?I would start by defining the problem, collecting labeled examples of prompt injections and benign inputs, then train a classifier using transformer embeddings. I would evaluate precision/recall and tune thresholds based on production tradeoffs.Describe your experience with deploying and monitoring ML models in production.I have built end-to-end MLOps pipelines including training, deployment with A/B testing, monitoring for drift, and automated retraining.How do you handle false positives in a security model?I would analyze false positives to understand patterns, adjust thresholds, and possibly retrain with additional hard negatives. It's important to balance false positive rate with risk reduction.Explain how you would evaluate a model for adversarial robustness.I would design an evaluation suite including adversarial examples, hard negatives, and edge cases like long-context inputs. I would measure performance on these and iterate to improve robustness.How do you collaborate with cross-functional teams to define ML requirements?I work closely with product and security teams to translate security goals into measurable ML outcomes, and I communicate tradeoffs clearly to ensure alignment.  Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit [www.redditinc.com](http://www.redditinc.com/).

The GenAI Security team within Reddit’s Security, Privacy, Assurance, and Corporate Engineering organization protects Reddit’s GenAI usage across employee tools, internal agents, and production user-facing systems. Our mission is to secure and protect Reddit’s AI traffic and GenAI adoption by default.

We are building zero-trust, defense-in-depth systems that verify identity, permissions, data access, and semantic intent across AI workflows. A core part of this work is developing practical, high-quality ML models that detect and prevent security risks such as prompt injection, jailbreak attempts, sensitive data exfiltration, unsafe model behavior, anomalous usage, and unauthorized agent actions.

We are looking for a Senior Machine Learning Engineer to lead model development for GenAI Security and help establish strong ML practices across SPACE. This role owns the full machine learning lifecycle: problem definition, data ETL, feature engineering, model training, model evaluation, deployment, experimentation, prediction, monitoring, debugging, and retraining.

## What You’ll Do

* Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals.
* Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback.
* Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit.
* Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic.
* Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces.
* Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops.
* Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows.
* Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving.
* Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact.
* Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs.

## Who You Might Be

* 5+ years of experience building, training, evaluating, and deploying production ML or deep learning models.
* Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar.
* Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining.
* Experience building data pipelines and working with large-scale datasets.
* Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation.
* Experience shipping production-quality software, preferably in Python and/or Go.
* Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners.
* BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
* Experience in the following areas is a plus:
Applying ML to security, privacy, trust and safety, abuse prevention, adversarial ML, or GenAI security problems.
* Training or fine-tuning neural text models for complex inputs such as long-context prompts, structured payloads, code-like content, multi-turn interactions, or tool calls.
* Production MLOps or model serving systems such as Airflow, Ray, MLflow, Triton, ONNX, Kubernetes, or similar.
* Improving model quality through labeling strategy, hard-negative mining, synthetic data generation, distillation, or active learning.

Benefits:

* Comprehensive Healthcare Benefits and Income Replacement Programs
* 401k with Employer Match
* Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
* Family Planning Support
* Gender-Affirming Care
* Mental Health & Coaching Benefits
* Flexible Vacation & Paid Volunteer Time Off
* Generous Paid Parental Leave

#LI-remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit [https://www.redditinc.com/careers/](https://www.redditinc.com/careers/).

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:$216,700—$303,400 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our [Candidate Privacy Policy for Potential Employees and Contractors](https://redditinc.com/policies/candidate-privacy-policy).

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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