20 Best Data & Database Occupations jobs in San Francisco, CA (Hiring Now!)

Distinguished Engineer, Generative AI Systems (Remote-Eligible)
Capital One —San Francisco, CA
Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.
Data Analyst
Simbe Robotics —South San Francisco, CA
Monitoring and investigating incoming customer support tickets to ensure customer feedback is clearly captured, investigated, and conveyed internally to enable…
$75,000 - $125,000 a year
Quick Apply
Data Engineer
SPAN —San Francisco, CA
Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance. Are passionate about CI/CD process.
$134,000 - $190,000 a year
Quick Apply
1d
Junior Data Analyst (Part-Time - APAC)
Pequity —San Francisco, CA
Approximately 1 year of experience in data analytics or an HR-related field. Basic knowledge of statistical methods and data analysis techniques.
Estimated: $51.9K - $65.8K a year
Data Analyst
Apree Health —San Francisco, CA
Conducts data architecture analysis and develops data flows aligned to enterprise data architecture vision. Completes assigned Customer launch projects and its…
$97,000 - $139,000 a year
Quick Apply
8d
Python Data Engineer - Content Operations
NextDeavor, Inc. —San Francisco, CA
Bachelor's degree or higher in Science, Computer Science, Data Science, or a related field, with substantial coursework in Computer Science.
$51.00 - $56.33 an hour
Quick Apply
7d
Senior Manager, Cybersecurity Data Protection Product Management
Capital One —San Francisco, CA
Maintain technical and risk credibility with your own team and with partners across the enterprise. You have experience managing multiple high-visibility and…
8d
Data Specialist
American Academy of Ophthalmology Inc —San Francisco, CA
Create and maintain standard operational procedures for data entry/changes and data dictionary for field codes. College Degree in a relevant field.
$86,376 a year
Quick Apply
Research Data Analyst
University of California San Francisco —San Francisco, CA
Working skills in statistical analysis, systems programming, database design and data security measures. Works with community based organizations to develop and…
Estimated: $74K - $93.7K a year
7d
Data Engineer
Salesforce —San Francisco, CA
In this role, you will own the end-to-end data delivery, from engaging with stakeholders and data modeling with analysts to building and running production…
$125,700 - $208,800 a year
1d
Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible)
Capital One —San Francisco, CA
Master's or Doctoral degree in Computer science, Computer Engineering, Electrical engineering, Mathematics, or a similar field.
Data Engineer
Atlassian —San Francisco, CA
Bachelor’s / Masters degree (or equivalent work experience) in a STEM field. 4+ Years of Experience in Data Engineering or related fields OR 2+ Years of…
Estimated: $150K - $189K a year
Data Scientist
Slope —San Francisco, CA
Collaborate closely with credit risk, customer success and GTM to align data science effort with business goals; provide timely support for questions or issues…
$150,000 - $250,000 a year
Quick Apply
Business Analyst with DICOM
Digital Dhara LLC —South San Francisco, CA
1)BioTech / Pharmaceutical industry system experience or understand the industry experience with clinical trials & data management.
$41.42 - $60.00 an hour
Quick Apply
7d
IT Assistant Business Analyst
Alameda County Behavioral Health - Information Systems —Oakland, CA
Candidate will possess a 4-year degree with a major in MIS, Computer Science, Computer Engineering or equivalent (or 2-year professional experience in an IT…
$80,000 - $87,000 a year
Quick Apply
Data Scientist
Glo —San Francisco, CA
Communicate complex technical concepts to non-technical stakeholders through visualizations and presentations. Full Time | San Francisco, CA.
$145,000 - $180,000 a year
2d
Senior Data Scientist, Localization & Machine Translation
Salesforce —San Francisco, CA
Master’s or Ph.D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other…
$176,800 - $243,100 a year
6d
Data Scientist
Laiba Technologies —San Francisco, CA
Identifying technical problems and developing updates and fixes. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly) and database…
$70 - $72 an hour
Quick Apply
Data Analytics Lead
Salesforce —San Francisco, CA
Communicate complicated technical concepts to data engineering teams, third-party consultants and contractors, and be able to simplify them for non-technical…
$140,000 - $192,500 a year
9d
Data Analyst
Rigel Pharmaceutical —South San Francisco, CA
Perform quarterly field activity analysis across disparate systems to correlate activity with sales performance and identify any trends highlighting territory…
$87,516 - $102,960 a year
Quick Apply

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Distinguished Engineer, Generative AI Systems (Remote-Eligible)

Capital One - San Francisco, CA

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Job Details

Full-time

Benefits

Health insurance

Qualifications

TensorFlow
Computer science
Cloud infrastructure
Azure
Node.js
Law
Doctoral degree
Computer Science
PyTorch
5 years
Engineering
Google Cloud Platform
Prompt engineering
Master's degree
Databases
AWS
C++
Cloud security
C
Bachelor's degree
Machine learning
Doctor of Philosophy
Distributed systems
Computer Engineering
Computer networking
Scalability
Distributed computing
AI
Machine learning frameworks
Leadership
Python
MLOps

Full Job Description

Locations: NY - New York, United States of America, New York, New York

Distinguished Engineer, Generative AI Systems (Remote-Eligible)

Distinguished Engineer, Generative AI Systems

Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue 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.

We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that’s designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include:

Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.
Design and build infrastructure for serving large ML models, in our public cloud.
Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud.
Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection
Develop applications that leverage LLMs and FMs.
Design and implement capabilities to support MLOps for foundation models.

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

Basic Qualifications:

Bachelor's degree in Computer Science, Computer Engineering or a technical field
At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems
At least 5 years of experience developing AI and ML algorithms in Python or C/C++
At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.

Preferred Qualifications:

Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.
Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.
Experience architecting cloud systems for security, availability, performance, scalability, and cost.
Experience with delivering very large models through the MLOps life cycle from exploration to serving.
Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.
Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.
Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.
Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.

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.

New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer

San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer

Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning 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 the Capital 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).

Apply Now

Data & Database Occupations jobs in San Francisco, CA

Distinguished Engineer, Generative AI Systems (Remote-Eligible)

Data Analyst

Data Engineer

Junior Data Analyst (Part-Time - APAC)

Data Analyst

Python Data Engineer - Content Operations

Senior Manager, Cybersecurity Data Protection Product Management

Data Specialist

Research Data Analyst

Data Engineer

Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible)

Data Engineer

Data Scientist

Business Analyst with DICOM

IT Assistant Business Analyst

Data Scientist

Senior Data Scientist, Localization & Machine Translation

Data Scientist

Data Analytics Lead

Data Analyst

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Data &amp; Database Occupations jobs in San Francisco, CA

Data & Database Occupations jobs in San Francisco, CA