Senior Software Engineer designing and operating ML infrastructure for Plaid's AI initiatives. Collaborating with product teams to accelerate AI - powered financial experiences and ensure scalable ML systems.
About the role
- Machine Learning Engineer developing and scaling Cognitiv's ML infrastructure. Collaborating on AI-driven advertising solutions at the forefront of innovation.
Responsibilities
- We’re seeking a Machine Learning Engineer to help build and scale the next generation of Cognitiv’s ML infrastructure.
- You’ll work across the full ML lifecycle — from data ingestion and model training to deployment and monitoring — helping to improve automation, reliability, and performance.
- Contribute to the design, development, and automation of ML workflows across data ingestion, training, deployment, and monitoring.
- Build and maintain scalable data pipelines that support high-volume model training and evaluation.
- Partner with senior engineers to optimize system performance and reduce operational bottlenecks.
- Collaborate closely with Product, Engineering, and ML Research teams to deliver reliable, high-impact systems.
- Write clean, production-level Python code and participate in code reviews to maintain quality and consistency.
- Help improve monitoring and observability across ML pipelines to ensure reliability in production.
Requirements
- Strong Coder. You write clean, efficient, and scalable code in Python, with an advanced degree (or equivalent experience) in Computer Science, Engineering, or a related field.
- ML Systems Builder. You’ve designed or maintained ML pipelines, automation, or MLOps systems, and have a solid grasp of model training, deployment, and monitoring in production.
- Distributed Data Expert. You’re experienced with distributed data processing (e.g., PySpark) and understand how to scale workflows efficiently.
- Deep Learning Practitioner. You’ve worked hands-on with PyTorch (bonus for PyTorch Lightning) and bring curiosity about LLMs and the Hugging Face ecosystem.
- Collaborative Engineer. You communicate clearly, thrive in cross-functional environments, and take pride in building reliable, well-architected systems.
- In-Person Collaborator. You’re available to work onsite MTW in San Mateo, partnering closely with peers to accelerate progress.
Benefits
- Medical, dental & vision coverage (some plans 100% employer-paid)
- 12 weeks paid parental leave
- Unlimited PTO + Work-From-Anywhere August
- Career development with clear advancement paths
- Equity for all employees
- Hybrid work model & daily team lunch
- Health & wellness stipend + cell phone reimbursement
- 401(k) with employer match
- Parking (CA & WA offices) & pre-tax commuter benefits
- Employee Assistance Program
- Comprehensive onboarding (Cognitiv University)…and more!
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