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Remote Leader Bank Jobs in California (NOW HIRING)

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Principal Designer, Banking

Bodega Bay, CA · On-site +1

Today, Cash App has thousands of employees working globally across office and remote locations ... Strong influence and communication skills as a peer to cross-functional leadership * A hands-on ...

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Remote Leader Bank information

What is a remote leader bank?

A Remote Leader Bank is a financial institution or banking professional that manages and oversees banking operations remotely, often utilizing digital platforms to serve clients without the need for in-person interaction. These banks or professionals typically lead teams, guide banking processes, and ensure compliance while working from a remote location. This role is becoming increasingly important as more banking services move online, allowing for greater flexibility and accessibility for both employees and customers.

What are the key skills and qualifications needed to thrive as a remote leader at a bank?

To thrive as a Remote Leader at a bank, you need strong leadership experience, financial acumen, and a background in banking or finance, usually supported by a relevant degree. Familiarity with digital banking platforms, remote management tools, and compliance systems is crucial. Excellent communication, problem-solving, and the ability to motivate and manage dispersed teams are standout soft skills. These skills ensure effective team performance, regulatory compliance, and customer satisfaction in a virtual banking environment.

How does a remote leader at a bank typically collaborate with in-person teams to ensure smooth operations?

A Remote Leader at a bank coordinates closely with both on-site and remote teams through regular virtual meetings, digital collaboration tools, and clear communication channels. They often use project management platforms to track progress, assign tasks, and ensure alignment across departments. Building strong relationships with in-person staff is crucial, so remote leaders may schedule periodic visits or leverage video calls to maintain team cohesion and address challenges promptly. Effective remote leadership hinges on transparency, responsiveness, and proactive problem-solving to keep operations seamless.

What is the difference between Remote Leader Bank vs Remote Bank Teller?

AspectRemote Leader BankRemote Bank Teller
Required CredentialsBanking experience, leadership skills, relevant certificationsBasic banking knowledge, customer service skills, high school diploma
Work EnvironmentRemote, managerial or supervisory roles within bankingRemote, customer service-focused roles in banking
Employer & Industry UsageFinancial institutions, banking sectorFinancial institutions, banking sector
Common Search & ComparisonLeadership, management, remote banking rolesCustomer service, teller duties, remote banking jobs

Remote Leader Bank typically involves managerial responsibilities, leadership skills, and experience in banking, often requiring certifications. In contrast, Remote Bank Tellers focus on customer service, basic banking tasks, and usually need less formal credentials. Both roles are remote and serve the banking industry, but they differ significantly in responsibilities and required qualifications.

What are the most commonly searched types of Leader Bank jobs in California?

The most popular types of Leader Bank jobs in California are:

What are popular job titles related to Remote Leader Bank jobs in California?

For Remote Leader Bank jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Leader Bank jobs in California look for?

The top searched job categories for Remote Leader Bank jobs in California are:

What cities in California are hiring for Remote Leader Bank jobs?

Cities in California with the most Remote Leader Bank job openings:

Remote Leader Bank jobs near you

Senior Distinguished Engineer, AI Compute (Remote Eligible)

San Francisco, CA • On-site, Remote

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

88th of 173 rated banks

Good employer

Recommended by students

Paid breaks

Learn more about Capital Oneexternal

$144K - $190K/yr

Full-time

Re-posted 11 days ago

Job description

Senior Distinguished Engineer, AI Compute (Remote Eligible)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform.

You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success.

In this role, you will :

  • Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform

  • Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics

  • Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows

  • Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models

  • Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions

  • Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities

  • Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies

  • At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications :

  • Master's Degree in Computer Science or a Master's Degree in Software Engineering

  • Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management)

  • Experience building platforms that support LLM training, fine-tuning, or high-throughput inference

  • Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies

  • History of upstream contributions to major distributed systems projects

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): $286,200 - $326,700 for Sr. Distinguished AI Engineer


Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer


Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer


San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer


San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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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