AI Engineer 5 (MLXT)
Capital One2 days ago
Cambridge, MA, USA +4 moreStaff+
Base Salary
$230k - $286k/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, multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Invent and apply foundation model optimization techniques to improve scalability, cost, latency, throughput, and hardware utilization.
- Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
- Lead cost-performance governance reviews covering GPU utilization, model throughput, and inference cost efficiency.
- Contribute to the technical vision and roadmap for foundational AI systems.
- Lead design councils and review boards to ensure technical consistency and AI engineering standards compliance.
- Mentor principal- and manager-level AI engineers and promote cross-domain technical learning.
Requirements
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least six years of experience developing AI and ML algorithms or technologies, or a master’s degree in one of these fields plus at least four years of such experience.
- At least six years of programming experience with Python, Go, Scala, CUDA, or Java.
- Preferred: experience leading AI system development with cost, latency, throughput, and accuracy tradeoffs.
- Preferred: seven or more years deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or an equivalent private cloud.
- Preferred: experience with complex AI systems, LLM inference, similarity search, VectorDBs, guardrails, memory, agentic workflows, and heterogeneous AI architectures.
- Preferred: experience optimizing training and inference software, applying model compression and dynamic inference, and right-sizing models, instances, and hardware.
- Preferred: experience defining ethical AI deployment standards, including explainability, fairness, and human-in-the-loop review.
- Preferred: strong communication and presentation skills, and the ability to apply AI research techniques in production.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being, with eligibility varying by employment status and management level.
- Eligible for performance-based incentive compensation, including potential cash bonuses and/or long-term incentives.
- Full-time annual salary ranges vary by location from $229,900-$262,400 in Cambridge and McLean to $250,800-$286,200 in New York, San Francisco, and San Jose.
- Applications are expected to remain open for at least five business days.
Categories
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.