Machine Learning Engineer, Implicit Signals

Skills

About the Role

You will develop new classification and evaluation capabilities and bring them into production. You'll own classifiers throughout their lifecycle including supervised fine-tuning, distillation, evaluation, deployment and inference, working closely with researchers and software engineers.

Requirements

• Experience taking ML projects from formulation to production deployment
• Strong foundations in supervised learning, statistics, and experimental design
• Experience evaluating models and working with imperfect labels
• Strong software engineering skills
• Experience reasoning about inference performance tradeoffs
• Comfort working with researchers and engineers on open-ended problems
• Fluency in using AI agents across multiple workstreams

Responsibilities

• Build, deploy, and operate production classification and evaluation systems
• Optimize production inference including serving, batching, caching, throughput, latency, and cost
• Train and optimize classifiers using supervised fine-tuning and distillation
• Own reliability and observability of deployed classifiers
• Design rigorous evaluations of accuracy, calibration, generalization, and measurement bias
• Partner with software engineers to integrate models and support safe rollouts
• Build reusable engineering tools for classifier training, evaluation, and deployment
• Translate researcher needs into modeling objectives and production requirements

Benefits

• Equity
• Performance-related bonus
• Medical, dental, and vision insurance with HSA employer contributions
• Health FSA, Dependent Care FSA, and commuter pre-tax accounts
• 401(k) with employer match
• Paid parental leave (up to 24 weeks birth parents, 20 weeks non-birthing parents)
• Paid medical and caregiver leave (up to 8 weeks)
• Flexible PTO for exempt employees
• 13+ paid company holidays and coordinated office closures
• Paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits
• Relocation support
• Charitable donation matching and wellness stipends