Seeking a Machine Learning Engineer to join the Engineering team, focusing on shipping ML-powered features in production by building infrastructure and services at the intersection of backend systems and machine learning.
Compensation
base salary for this role will be $205k - $235k
Responsibilities
Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
Integrate and orchestrate ML models and third-party ML APIs (e.g., LLM providers, recommendation engines, embeddings services) into production systems
Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
Own the reliability, performance, and scalability of ML-adjacent backend systems
Requirements
Computer Science degree or equivalent
Nice to have: LLM Application Development (prompt engineering, RAG pipelines, conversational AI)
Partner with cross‑functional teams to deliver AI‑powered products that change how customers interact with their money, build AI foundation models, and conduct high‑impact applied research.
Lead research and development on reinforcement learning training for large language models, designing algorithms, building data pipelines, and evaluating impact across diverse environments.
Locations (3)
New York City, New York, United States
San Francisco, California, United States
United States
Compensation
$200,000—$375,000 USD
Responsibilities
Research and implement cutting‑edge reinforcement learning algorithms and training recipes for large language models
Design and build data pipelines that generate high‑quality training signals for RL workflows
Prototype and iterate on end‑to‑end RL training recipes
Work with research scientists, ML engineers, data teams, and delivery teams to diagnose training results and validate improvements
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5
Responsibilities
Partner with data scientists, software engineers, ML engineers and product managers to deliver AI‑powered products
Leverage a broad stack of technologies such as Pytorch, AWS Ultraclusters, Huggingface, Lightning
Build AI foundation models through all phases of development
Engage in high‑impact applied research to push AI developments into customer experiences
Lead cross‑functional research threads bridging prototype model development and deployment
Requirements
PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
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