Capital One

Capital One

Distinguished AI Engineer

Baltimore, Maryland

Sponsorship not specified$264k-$301kDetected 59 days ago
PythonJavaGoC++C#ScalaAlgorithmsAWSGCPAzureCloud PlatformsMachine LearningNLPLLMsA/B TestingElectrical EngineeringResearchCommunication

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role88
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$93,4541 entry
Level II$123,5312 entries
Level III$153,6083 entries
Level IV$183,6854 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Baltimore-Columbia-Towson, MD. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

96 transfer filings in the last year, covering 96 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The Intelligent Foundations and Experiences (IFX) team is central to bringing our vision for AI to life.

Responsibilities

  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that transform associate work and customer interactions.
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.

Requirements

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 8 years of experience developing AI/ML algorithms or technologies
  • or a Master's degree in a related field with at least 6 years of relevant experience.
  • At least 8 years of programming experience with languages such as Python, Go, Scala, or Java.

Nice to have

  • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
  • Expertise in optimizing training and inference software for improved hardware utilization, latency, throughput, and cost.
  • Passion for staying abreast of the latest AI research and applying novel techniques in production.
  • Excellent communication and presentation skills with the ability to articulate complex AI concepts clearly.

Compensation

  • Cambridge, MA: $263,900 - $301,200; McLean, VA: $263,900 - $301,200; New York, NY: $287,800 - $328,500; San Francisco, CA: $287,800 - $328,500; San Jose, CA: $287,800 - $328,500.

Benefits

  • Comprehensive, competitive, and inclusive health, financial, and other benefits designed to support your total well-being. (Details available on the job posting)
  • Performance-Based Incentives: Eligible to earn cash bonus(es) and/or long term incentives (LTI), depending on plan specifics.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

Company info

  • Position Overview At Capital One, we are creating responsible and reliable AI systems that change banking for good.
  • Our industry-leading use of machine learning enables real‐time, personalized customer experiences-from alerting customers about unusual charges to answering their questions in real time.

This listing is sourced directly from Capital One's careers page and normalized into a canonical job model.