AI Engineer 4 (AI Safety and Multimodal)
Capital One4 days ago
Cambridge, MA, USA +3 moreStaff+
Base Salary
$197k - $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 components for foundation model training, LLM inference, agents, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Develop optimization techniques for large-scale production AI systems to improve scalability, cost, latency, and throughput.
- Own end-to-end architecture for complex AI systems and contribute to the technical vision and roadmap for foundational AI systems.
- Define and maintain AI reliability objectives covering latency, uptime, and model performance drift.
- Optimize GPU/TPU utilization and model inference pipelines with infrastructure engineering.
- Lead technical reviews for AI deployments while ensuring security, data governance, compliance, and ethical alignment.
- 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 four years of experience developing AI and ML algorithms or technologies, or a master’s degree in one of those fields plus at least two years of relevant experience.
- At least four years of programming experience with Python, Go, Scala, CUDA, or Java.
- Experience with AI red teaming and safety guardrails for multimodal systems, including VLMs, MLLMs, and MM-RAG architectures.
- Preferred experience leading scalable AI system development with tradeoff decisions involving cost, latency, throughput, and accuracy.
- Preferred six or more years of deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, or Azure.
- Experience developing AI services, AI/ML algorithms and technologies, training and inference optimization techniques, agentic systems, and distributed systems at petabyte scale.
- Experience with AI safety and LLM safety alignment, multimodal safety and vulnerability assessment, AI model governance, lineage tracking, and automated retraining schedules.
- Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms and apply current AI research in production.
Benefits
- Capital One offers comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment and management status.
- 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 listed full-time annual base salary ranges are $197,300–$225,100 in Cambridge and McLean and $215,200–$245,600 in New York and San Jose; other locations use their applicable pay range.
- Applications are expected to remain open for a minimum of five 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.