Senior ML Engineer - Answers Relevance (Remote)

Bazeta; United States; Remote; USD 217,000 - 322,000; Full time

Benefits offered by this job

Healthcare benefits

Equity in company

401(k) with employer match

Generous time off

Parental leave

Job summary

Reddit is hiring Senior and Staff Machine Learning Engineers for the Answers Relevance team. You will lead ML projects across recommendations, search, and AI systems, partnering with Product, Data Science, and Engineering to bring ideas into production at scale.

You’ll apply deep learning, retrieval, and LLM techniques, mentor engineers, and shape roadmaps while delivering measurable product impact. This remote US role includes equity and a robust benefits package.

Qualifications

• 4–12 years of experience building, deploying, and operating ML systems in production.
• Broad knowledge of ML fundamentals and production experience; no need for expert-level modeling depth.
• Experience with TensorFlow, PyTorch, or Hugging Face Transformers in production.
• Production-quality Python code, testing, evaluation, and monitoring.
• Strong communication and collaboration skills with a track record of impact.

Responsibilities

• Lead ML projects from idea to production across recommendations, search, and AI systems.
• Build and improve large-scale ML systems, including retrieval, embeddings, and LLM-powered features.
• Set technical direction and deliver measurable user and business impact.
• Mentor engineers and contribute to long-term ML planning.
• Evaluate new AI/ML approaches and support responsible development.

Skills

Python

ML fundamentals

Production ML systems

TensorFlow / PyTorch / Transformers

Code quality & testing

Communication & collaboration

Tools

TensorFlow

PyTorch

Hugging Face Transformers

Job description

Reddit is hiring Senior and Staff Machine Learning Engineers for the Answers Relevance team. You will lead ML projects across recommendations, search, and AI systems, partnering with Product, Data Science, and Engineering to bring ideas into production at scale.

You’ll apply deep learning, retrieval, and LLM techniques, mentor engineers, and shape roadmaps while delivering measurable product impact. This remote US role includes equity and a robust benefits package.