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- Tasks: Lead the development of a cutting-edge Personalization Platform for real-time user experiences.
- Company: Join Capital One, a leader in cloud banking innovation and technology solutions.
- Benefits: Enjoy remote work options, competitive salaries, and a comprehensive benefits package.
- Why this job: Be part of a diverse team driving impactful change in the banking industry.
- Qualifications: 7+ years in software engineering, with expertise in cloud and machine learning technologies.
- Other info: Open to remote applicants; competitive salary range based on location.
4 days ago Be among the first 25 applicants
As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.
At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.
Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.
The Customer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all of Capital One\’s consumer products and organizations by providing well-managed, self-service, experimentation-driven, and personalized product development. We are seeking a Distinguished Engineer to define, architect, and drive the implementation of our Personalization Platform. We are building a scalable infrastructure powering real-time, hyper-personalized experiences, from personalized home feeds to targeted messaging for millions of users across all of Capital One\’s Financial products.
If you are ready to provide thought leadership and build engineering excellence across Capital One\’s engineering teams, come join us in our mission to change banking for good.
Key responsibilities:
- Articulate and evangelize a bold technical vision for your domain
- Decompose complex problems into practical and operational solutions
- Ensure the quality of technical design and implementation
- Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
- Continue learning and injecting advanced technical knowledge into our community
- Handle several projects simultaneously, balancing your time to maximize impact
- Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
What you\’ll do:
- Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services
- Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users
- Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations.
- Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, deployment, and both real-time and batch inference – ensuring high performance, scalability, and reliability.
- Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals.
- Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability.
- Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation.
What you\’ll bring:
- Proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging.
- Strong expertise in cloud-native engineering (GCP, AWS, or Azure), containerization (Docker, Kubernetes), and automated deployment
- Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company
Capital One is open to hiring a remote employee for this opportunity.
Basic Qualifications
- Bachelor\’s Degree
- At least 7 years of software engineering or software development experience
- At least 5 years of public cloud experience (AWS, GCP, Azure)
- At least 5 years of experience in Machine Learning and frameworks commonly used in recommendation systems (PyTorch, Scikit-learn, or TensorFlow)
Preferred Qualifications:
- Bachelor\’s or Master\’s Degree in Computer Science or a related field
- 9+ years of experience in software engineering or software development experience
- 7+ years of experience with hands-on experience with Machine Learning (ML) Pipeline orchestration and workflow tools (Databricks, Airflow, or Kubeflow)
- 7+ years of experience with programming languages such as Python or Java
- 5+ years of experience developing and deploying Machine Learning systems at scale
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.
Remote (Regardless of Location): $239,900 – $273,800 for Distinguished Engineer
McLean, VA: $263,900 – $301,200 for Distinguished Engineer
New York, NY: $287,800 – $328,500 for Distinguished Engineer
Plano, TX: $239,900 – $273,800 for Distinguished Engineer
Richmond, VA: $239,900 – $273,800 for Distinguished Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate\’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City\’s Fair Chance Act; Philadelphia\’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One\’s recruiting process, please send an email to
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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Seniority level
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Seniority level
Associate
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Employment type
Full-time
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Job function
Information Technology
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Distinguished Engineer - Machine Learning Engineer - Consumer Engagement Platform (Remote Eligible) employer: TalentAlly
Contact Detail:
TalentAlly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Distinguished Engineer - Machine Learning Engineer - Consumer Engagement Platform (Remote Eligible)
✨Tip Number 1
Familiarise yourself with Capital One's culture and values, especially their emphasis on diversity of thought and engineering excellence. This will help you align your discussions and demonstrate how your personal values resonate with theirs during interviews.
✨Tip Number 2
Network with current or former employees of Capital One, particularly those in technical roles. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Stay updated on the latest trends and advancements in machine learning and cloud technologies. Being able to discuss recent developments or share your thoughts on future innovations can set you apart as a knowledgeable candidate during interviews.
✨Tip Number 4
Prepare to showcase your leadership skills and experience in mentoring others. Since the role involves guiding and influencing teams, having specific examples ready that highlight your ability to lead and inspire will be crucial in demonstrating your fit for the position.
We think you need these skills to ace Distinguished Engineer - Machine Learning Engineer - Consumer Engagement Platform (Remote Eligible)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, cloud-native engineering, and software development. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation in banking technology. Discuss how your expertise aligns with Capital One's mission and how you can contribute to their Personalization Platform.
Showcase Your Technical Skills: Include specific examples of projects where you've designed or implemented personalization platforms or recommendation systems. Mention any relevant tools or frameworks you've used, such as TensorFlow or Kubernetes.
Highlight Leadership Experience: Since the role involves mentoring and leading technical strategies, be sure to include any leadership roles you've held. Describe how you've influenced teams or projects in previous positions.
How to prepare for a job interview at TalentAlly
✨Showcase Your Technical Expertise
As a Distinguished Engineer, it's crucial to demonstrate your deep understanding of machine learning and cloud-native engineering. Be prepared to discuss specific projects where you've designed and implemented personalization platforms or recommendation systems, highlighting the challenges you faced and how you overcame them.
✨Emphasise Collaboration Skills
Capital One values cross-functional collaboration. During the interview, share examples of how you've successfully partnered with product managers, data scientists, and other teams to drive technical strategy and innovation. This will show that you can work well in a team-oriented environment.
✨Prepare for Problem-Solving Questions
Expect to tackle complex problems during the interview. Practice breaking down intricate technical challenges into manageable solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses, demonstrating your analytical thinking and problem-solving skills.
✨Demonstrate Leadership and Mentorship
As a potential leader within the tech community, be ready to discuss your experience mentoring others and fostering a culture of engineering excellence. Share specific instances where you've guided junior engineers or influenced architectural decisions, showcasing your ability to lead and inspire.
