AI Engineer 4
Capital One2 days ago
Cambridge, MA, USA +2 moreStaff+
Base Salary
$215k - $246k/yr
Responsibilities
- Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
- Design, develop, test, deploy, and support AI software components for model training, inference, agents, similarity search, guardrails, evaluation, governance, experimentation, and observability.
- Develop foundation model optimization techniques to improve production AI scalability, cost, latency, throughput, and performance.
- Own end-to-end architecture and contribute to the long-term roadmap for foundational AI systems.
- Define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift.
- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and model inference pipelines.
- Lead technical reviews for AI deployments and ensure security, data governance, compliance, and ethical standards.
- Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation.
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years of experience developing AI and ML algorithms or technologies, or a master's degree in a related field plus at least 2 years of such experience.
- At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.
- Strong engineering, mathematics, hardware, software, and AI expertise.
- Preferred: experience leading AI system development with cost, latency, throughput, and accuracy tradeoffs.
- Preferred: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms.
- Preferred: experience developing AI services, LLM inference, similarity search, vector databases, guardrails, memory, agentic systems, and agentic workflows.
- Preferred: experience optimizing training and inference software and improving hardware utilization, latency, throughput, and cost.
- Preferred: proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale.
- Preferred: experience defining AI model governance processes, lineage tracking, and automated retraining schedules.
- Preferred: demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.
Benefits
- Capital One offers health, financial, and other benefits supporting total well-being, with eligibility varying by employment and management status.
- Annual base salary ranges by location from $197,300-$225,100 in Cambridge or McLean and $215,200-$245,600 in New York or San Jose.
- The role is eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- The role is posted for a minimum application period of 5 business days.
About Capital One
Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.