Staff Machine Learning Engineer

• AI Agents for restaurant discovery
• Personalized recommendations for diners
• Developing and serving high-throughput predictive models for strategic marketplace optimization initiatives
• Building and integrating tools into our agentic platform via LLM tool calls, MCP, and Agent-to-Agent protocols
• Multimodal understanding of restaurant content (text, images, geospatial)
• Creating an AI-powered platform for restaurant partners to gain insights into their business performance and diner demand

• Technical direction for how models are served, deployed, and monitored; the architecture, the patterns, and the tradeoffs behind them.
• Production ML services that are high-throughput, low-latency, and observable, from design through operation.
• Engineering standards for ML systems: testing, CI/CD, observability, alerting, rollback, and on-call practice.
• Ambiguous, cross-team problems: scoping them with Product Managers and stakeholders, then ruthlessly prioritizing what the team actually builds.

• 7+ years of professional software engineering experience, with a substantial portion spent building and operating machine learning systems in production.
• Breadth of industry perspective. You have seen how ML systems are built and operated at more than one organization, and can speak to industry-standard practices, common reference architectures, and where the real tradeoffs lie.
• Hands-on experience with a major cloud platform (AWS, GCP, or Azure) as a primary model-serving environment, including its managed services for deployment, scaling, and observability.
• Deep engineering fundamentals: distributed systems, service and API design, concurrency, latency and throughput tradeoffs, testing discipline, and genuine production ownership including on-call.
• Strong command of Python and proficiency in at least one strongly typed language (Java preferred).
• Demonstrated experience training, serving, and deploying ML models at production scale.
• Production MLOps ownership: model and feature monitoring, drift and data-quality detection, retraining and promotion workflows, versioning, safe rollout and rollback, and incident response when a model misbehaves.
• A track record of technical leadership: leading multi-quarter projects, influencing engineering decisions beyond your immediate team, and coordinating with Product Managers and other stakeholders.

• Serving LLMs in production: inference infrastructure, GPU utilization, batching and caching strategies, quantization, and managing the latency/cost frontier (vLLM, TGI, TensorRT-LLM, or similar).
• Applied ML depth in ranking, recommendations, classification, NLP, RAG, and/or agentic systems.
• Kubernetes in production at meaningful scale.
• Experience developing ETL jobs (especially Spark) or data warehouse infrastructure.
• Familiarity with A/B testing design and analysis best practices.
• Experience introducing new tooling or platform capability to a team and driving adoption.

We do not expect experience with everything on this list; it is here so you know what you would be working with.

• Pipelines: Spark, Airflow, EMR, SageMaker, Snowflake, S3, Delta Lake
• ML: PyTorch, XGBoost / CatBoost, LLMs, LangChain, LangSmith
• Deployment: Docker, Kubernetes, Helm, Prometheus, Graphite / Grafana
• Infrastructure: Kafka, ElasticSearch, Postgres, MongoDB, Redis, Qdrant
• Build: Poetry, FastAPI, Flask, Gunicorn / Uvicorn, Spring, Maven, TeamCity

The ML team at OpenTable has two opposing challenges which manifest themselves as opportunities:

• OpenTable is the world's leading provider of online restaurant reservations, seating more than 25 million diners per month via online bookings across approximately 70,000 restaurants. It has a massive wealth of diner and restaurant data going back over 25 years.
• OpenTable fields a lean team, with just over 1,600 employees globally. The ML team is currently fourteen people, but striving to grow.

As a member of the team, you will benefit from these factors because your projects will have sufficient data and usage to be interesting and have a meaningful impact, and you will have the opportunity to work on a variety of interesting projects across the company.

However, you will be forced to think critically and ruthlessly prioritize, since the team has finite bandwidth.

If this sounds like an interesting challenge, we look forward to hearing from you.

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
• Company-paid therapy sessions through SpringHealth
• Company-paid subscription to Headspace
• Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
• Paid parental leave
• Generous paid vacation + time off for your birthday
• Paid volunteer time
• Focus on your career growth:
• Development Dollars
• Leadership development
• Access to thousands of on-demand e-learnings
• Travel Discounts

• 20 days of paid time off
• Private health and dental insurance
• Life and Disability insurance

The best connections happen face-to-face, whether you’re sitting down to dinner or having coffee with a coworker.

That’s why OpenTable has adopted a hybrid workplace model.

This role aligns with that approach, with an expectation of coming into the office two days a week—giving employees the best of both worlds: in-person collaboration and flexibility.

There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits.

This role is eligible to be considered for an annual bonus and equity grant.

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.

We’re committed to creating a workplace where everyone feels they belong and can thrive.

We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you.

Please reach out to your recruiter to request any accommodations.

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