Senior Staff Machine Learning Engineer, GenAI Platform

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Who We Are

The Machine Learning Platform team at the company is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do

As a Senior Staff Software Engineer, you will help define and lead the vision for the company’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence.

Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.

• Lead and execute the vision, strategy, and roadmap for the company’s large-scale GenAI Platform.

• Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably.

• Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions.

• Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience.

• Shape the company’s approach to an enterprise-grade RAG system

• Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform.

• Own the end-to-end platform strategy from concept through production adoption and long-term evolution.

• Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.

• Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems.

• Partner across engineering, product, and leadership to align platform investments with company priorities and user needs.

• Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience.

• Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy.

Who You Might Be

• 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.

• Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale.

• Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes.

• Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments.

• Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more

• Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.

• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders

• Strong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.

• Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus

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 caregiving support

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Flexible Vacation & Paid Volunteer Time Off

• Generous Paid Parental Leave

Pay Transparency

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, the company offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit [link for members] .

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is

$292,500 — $409,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

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The company is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  The company is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.