AI Engineer 4 (MLX)
Capital One2 days ago
Cambridge, MA, USA +4 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 components for foundation-model training, LLM inference, agents, similarity search, guardrails, evaluation, experimentation, governance, and observability.
- Develop optimization techniques that improve the scalability, cost, latency, throughput, and hardware utilization of production AI systems.
- Own end-to-end architectures for complex AI systems and contribute to the long-term technical roadmap.
- 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 are met.
- 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/ML algorithms or technologies, or a master's degree in one of these fields plus at least two years of such experience.
- At least four 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 six or more years deploying scalable and responsible AI solutions on AWS, Google Cloud, Azure, or equivalent private cloud.
- Experience designing, delivering, and supporting AI services and developing AI/ML technologies such as LLM inference, similarity search, VectorDBs, guardrails, and memory.
- Experience optimizing training and inference software and building agentic AI systems and workflows.
- Experience designing distributed systems for model training, evaluation, and online inference at petabyte scale.
- Experience defining AI model governance processes, including reproducibility, lineage tracking, and automated retraining schedules.
- Demonstrated ability to influence architecture across multiple AI product lines or platforms.
Benefits
- Capital One offers comprehensive health, financial, and other benefits supporting employees' total well-being, with eligibility varying by employment and management status.
- The role is eligible for performance-based incentive compensation, including possible cash bonuses and/or long-term incentives.
- The posting states that Capital One will consider sponsoring a new qualified applicant for employment authorization.
- The listed full-time annual salary ranges vary by location from $197,300-$225,100 in Cambridge and McLean to $215,200-$245,600 in New York, San Francisco, and San Jose.
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.