Distinguished Machine Learning Engineer- Capital One Software (Remote) at Capital One

Richmond, Virginia, United States

Apply Now

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

Bachelor's Degree
At least 7 years of experience in Software Engineering
At least 5 years of experience in Machine Learning Systems and Infrastructure
Preferred: Masters’ Degree
Preferred: 7+ years of experience using Python, Java, Go, and SQL
Preferred: 6+ years of experience deploying machine learning models
Preferred: Ability to understand deploying Machine Learning models in production environments at scale
Preferred: Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs
Preferred: 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis
Preferred: 3+ years of experience with Databricks or Snowflake
Preferred: Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction

Responsibilities

Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent

Skills

Key technologies and capabilities for this role

Machine LearningPublic CloudData ManagementData GovernanceInfrastructure Management

Questions & Answers

Common questions about this position

Is this Machine Learning Engineer position remote?

Yes, the position is remote as indicated by the job title.

What are the basic qualifications for this role?

Candidates need a Bachelor's Degree, at least 7 years of experience in Software Engineering, and at least 5 years of experience in Machine Learning Systems and Infrastructure.

What preferred skills are listed for this Distinguished Machine Learning Engineer position?

Preferred qualifications include a Master’s Degree, 7+ years of experience using Python, Java, Go, and SQL, and 6+ years of experience deploying machine learning models.

What is the company culture like for this team at Capital One Software?

The team consists of innovative product, tech, and design leaders who question the status quo, promote engineering excellence, foster an inclusive environment, and encourage mentoring and recruiting top talent.

What makes a strong candidate for this Distinguished Machine Learning Engineer role?

A strong candidate will have the basic qualifications plus preferred experience in Python, Java, Go, SQL, and deploying ML models in production, along with expertise to act as a trusted advisor and leader in machine learning.

Capital One

Offers diverse financial products and services

About Capital One

Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.

McLean, VirginiaHeadquarters

2014Year Founded

$15.9MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Distinguished Machine Learning Engineer- Capital One Software (Remote) at Capital One

Requirements

Responsibilities

Skills

Questions & Answers

Capital One

About Capital One

Benefits

Medical, Dental, & Vision coverage

Onsite Health Centers

Prescription saving with network of local pharmacies

Stock Purchase Plan

Education Assistance

401(k)

Flexible Spending Accounts

Life and Disability insurance

Generous paid time off + corporate & floating holidays

Registered dieticians on site, cooking classes and free virtual fitness classes

Employee Assistance Program

Risks

Increased competition in subscription management tools may dilute Capital One's advantage.

Over-reliance on partnerships could expose Capital One to technological risks.

Departure of key personnel like Joe Rodriguez may affect risk management continuity.

Differentiation

Capital One offers user-friendly banking with no fees or minimums for checking accounts.

The company partners with Khan Academy to provide financial literacy education.

Capital One is the first major U.S. bank to offer subscription management tools.

Upsides

Capital One's mobile app is a model for secure, user-friendly digital banking.

Data sharing with Worldpay enhances payment security and fraud prevention.

Partnerships with fintechs like Minna Technologies improve customer experience.

Related Jobs

Senior Machine Learning Engineer - Machine Learning Infrastructure

Lead Machine Learning Engineer

Principal Machine Learning Engineer

Staff Machine Learning Engineer

Engineering Manager, Machine Learning

LLM Platform Engineer

Senior AI Engineer

Machine Learning Engineer (Platform)

Senior ML Data Scientist - Remote

AI Infrastructure Engineer

Senior/ Staff ML Engineer, Recommendations Systems

Land your dream remote job 3x faster with AI