Who you are

• Some knowledge of Machine Learning through work, schooling, or self-learning is expected
• Machine Learning expertise (especially ranking, recommendations, classification, NLP, LLMs, RAG, Agentic development)
• Experience developing ETL jobs (especially Spark) or data warehouse infrastructure
• MLOps Experience
• Java proficiency
• Familiarity with A/B Testing best practices
• Track record of project leadership, cross-team collaboration, and coordination with Product Managers and other stakeholders
• Pipelines: Spark, Airflow, EMR, Sagemaker, Snowflake, S3, Delta Lake
• ML: PyTorch, XGBoost / CatBoost, Large Language Models
• Deployment: Docker, Kubernetes, Helm, Prometheus, Graphite/Grafana
• Infrastructure: Kafka, ElasticSearch, Postgres, MongoDB, Redis, Qdrant
• Build: Spring, Maven, Flask, Gunicorn, Poetry, TeamCity

What the job involves

• The Machine Learning team at OpenTable supports a wide range of initiatives targeting diners, restaurants, and internal stakeholders
• The team is expanding its capabilities to enable AI Agents to power restaurant search and recommendations
• Initiatives include:
• Generative AI for content summarization and question answering
• Personalized diner recommendations
• Embedding powered search and discovery via RAG
• Building and integrating tools for Discovery Agents via LLM tool calls, MCP, and Agent to Agent protocols
• Multimodal understanding of restaurant content (text, images, location, video)
• As a mid-level Machine Learning Engineer, you will partner with Machine Learning Scientists and other engineers to train, evaluate, deploy, and monitor models and the features which support them
• The primary requirements are a strong engineering background with the ability to build and maintain services in production, and a willingness to learn and collaborate
• Experience building, testing, deploying, monitoring, and maintaining production systems
• Proficient in Python and at least one strongly typed language
• Demonstrated experience in the principles of ML

Benefits

• Work from (almost) anywhere - wherever you do your best work
• Mental health and well-being - company-paid therapy sessions through SpringHealth, company-paid subscription to HeadSpace, and company-wide weeks off a year so the whole team can recharge
• Generous parental leave
• Generous paid vacation + time off for your birthday
• Paid volunteer time
• Enriched learning and development opportunities - leadership development & access to thousands of on-demand e-learnings