Machine Learning Engineer, Answers Relevance

📋 Description

• Lead ML projects from idea to production, partnering with Product, Data Science, and Engineering
• Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and
• Set technical direction and deliver measurable user and business impact.
• Work with partner teams to shape product and technical roadmaps.
• Evaluate new AI/ML approaches and support responsible LLM development.
• Mentor engineers and contribute to long-term ML planning.

🎯 Requirements

• 4–12 years of experience building, deploying, and operating ML systems in production.
• Broad knowledge of ML fundamentals and experience applying them in production; expert-level
• Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face
• Experience writing production-quality code, including testing, evaluation, and monitoring; Python
• Experience with ML systems such as data pipelines, feature engineering, model training and serving
• Strong communication and collaboration skills, and a record of delivering measurable product impact.

🎁 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
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits