# Senior Machine Learning Engineer, Ads Foundational Representations

**Company:** [Reddit](https://hotfix.jobs/companies/reddit)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Machine Learning, Python, PyTorch, TensorFlow, Natural Language Processing, Computer Vision, LLMs, Vlms, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP
**Posted:** 2026-08-21

> Build and deploy embedding, sequence, and language-model representations for Reddit Ads, taking ML projects from requirements and experimentation through production. The role requires 5+ years of end-to-end industry ML experience, with expertise in NLP or computer vision and deep-learning frameworks.

## Job Description

## Responsibilities
- Develop and iterate on embedding models for advertising use cases, including aggregation pipelines, two-tower architectures, and sequence models.
- Work with local and third-party LLMs and VLMs to extract representations, develop evaluation methodologies, prompt-tune and fine-tune large models, and build advanced embeddings.
- Build data-processing and inference pipelines for machine-learning models.
- Perform qualitative and quantitative evaluation, from internal benchmarks through downstream recommender-system offline metrics and online experiments.
- Ensure the reliability, scalability, and performance of machine-learning systems through automated tests, performance monitoring, and model-management best practices.
- Participate in modeling and code reviews, providing feedback on quality and performance.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

## Required Qualifications
- 5+ years of hands-on experience designing, training, evaluating, testing, and deploying industry-level models across their full lifecycle.
- Experience building NLP or computer-vision models and integrating them at scale.
- Experience developing complex features and embeddings for downstream models.
- Experience with mainstream deep-learning frameworks such as PyTorch or TensorFlow.
- Excitement about working with data and investigating the details behind metrics.

## Preferred Qualifications
- Experience with Python, PyTorch, Airflow, BigQuery, Ray, Kubernetes, Kafka, and Google Cloud.
- Familiarity with advertising, search, or recommender systems.
- Technical leadership experience, including mentoring junior engineers and leading complex projects.
- Hands-on experience using, fine-tuning, or building LLMs.

## Benefits
- Global benefit programs supporting workspace, professional development, and caregiving.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Group personal pension scheme with employer match.
- Private medical and dental scheme.
- Income replacement programs.
- Bike-to-work scheme.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.

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