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Senior Machine Learning Engineer, Ads Foundational Representations

The NetherlandsRemotesenior

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.

Requirements Summary

extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. Building data processing and inference pipelines

Technical Tools

Machine Learning EngineerData

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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Responsibilities

~1 min read

→Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
→Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings.
→Building data processing and inference pipelines for the models we develop.
→Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
→Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
→Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
→Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.

Requirements

~1 min read

5+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
Experience building NLP or CV models and integrating them at scale.
Experience developing complex features/embeddings for downstream models.
Experience with mainstream DL frameworks: PyTorch or TensorFlow.
Excitement about working with data and readiness to look behind the metric numbers.

Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
Familiarity with the Ads domain and/or Search/Recommender systems is a strong plus.
Tech leadership experience: mentoring junior engineers and leading complex projects.
Hands-on experience with using/fine-tuning/building LLMs.

What We Offer

~2 min read

✓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

✓Private Pension plan with Employer-matching

✓100% employer-sponsored group medical plan

✓Income Replacement Programs

✓Flexible Vacation & Paid Volunteer Time Off

✓Generous Paid Parental Leave

Location & Eligibility

Where is the job

Worldwide

Fully remote, anywhere in the world

Who can apply

Same as job location

Listing Details

Posted: June 19, 2026
First seen: June 20, 2026
Last seen: August 7, 2026

Posting Health

Days active: 0
Repost count: 0
Trust Level: 76%
Scored at: June 20, 2026

Signal breakdown

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"The front page of the internet,” Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.

Employees

750

Founded

2005

Domain

Jobs

External application · ~5 min on Reddit's site

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