Senior Machine Learning Engineer – AdTech

Responsibilities

We are representing a confidential streaming technology client in Cambridge, and our talent team is seeking a Senior Machine Learning Engineer to join their AdTech modeling group. In this senior, hands-on role, you will:

• Design, train, and deploy ML models for ad relevance and bid/yield optimization
• Build and maintain production ML infrastructure for real-time, low-latency serving
• Work across Spark, Python, and Java to move models from research to production environments
• Apply sound feature engineering, validation, and evaluation practices throughout the modeling lifecycle
• Diagnose production ML issues such as model drift or long-tail classification problems
• Communicate technical trade-offs clearly to engineering and cross-functional partners

This role spans modeling, large-scale training, and production infrastructure—you'll take models from idea through to serving at scale in a high-impact advertising platform.

What We're Looking For

Our client needs a senior-level ML engineer with strong fundamentals and production experience:

• Senior-level ML engineering experience, ideally with exposure to ad tech, recommendation systems, or auction platforms
• Strong grounding in ML fundamentals, feature engineering, and model evaluation
• Experience with Spark, Python, and Java in production ML settings
• Comfort with production ML infrastructure and real-time, low-latency serving requirements
• Demonstrated fluency with AI and agentic tooling—familiarity with coding assistants like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks is valued
• Clear communicator who can explain reasoning and trade-offs, not just conclusions

The client values candidates who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. You should be comfortable driving an agent, verifying its output, and ramping on unfamiliar codebases with agent assistance.

How We Work with You

Candidates apply directly through Get A Job.ai. A recruiter from our team will screen your application and conduct an initial conversation. If there's a strong match, we submit you to our client for consideration. Please do not contact the client directly—all communication flows through Get A Job.ai to ensure a professional and coordinated process.

The role is based in Cambridge with a hybrid working arrangement: generally in-office Monday through Thursday, with Fridays flexible for remote work.

Pay

Pay details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applicants of all backgrounds and provide reasonable accommodations in accordance with applicable law.