Staff Applied Researcher

🔥 1 minute ago

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $306.3k - $381.3k / year

⏰ Full Time

🔴 Lead

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Capital One

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

📋 Description

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products • Leverage PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and related technologies to analyze large numeric and textual datasets • Build AI foundation models through design, training, evaluation, validation, and implementation • Conduct applied research and advance emerging AI developments into customer experiences • Translate complex research into tangible business goals • Define and steward novel research directions supporting the organization’s long-term scientific agenda • Drive strategic direction through collaboration with Applied Science, Engineering, and Product leaders • Guide and mentor applied scientists and their managers without direct people-management responsibility • Represent Capital One externally in the AI research community and collaborate with prominent faculty

🎯 Requirements

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research, OR M.S. in those fields plus 6 years of experience in Applied Research • Deep understanding of AI methodologies • Experience building large deep learning models across language, images, events, or graphs • Expertise in one or more of training optimization, self-supervised learning, robustness, explainability, or RLHF • Track record of delivering models at scale in training data and inference volumes • Experience delivering libraries, platform-level code, or solution-level code to existing products • Track record of high-quality machine-learning ideas, such as first-author publications or projects • Ability to own and pursue a research agenda and autonomously carry out long-running projects • Hands-on experience developing AI foundation models using open-source tools and cloud computing platforms • Preferred qualifications include large language model training, publications, large-scale model deployment, GPU clusters, training optimization frameworks, graph and sequential models, recommender systems, real-time and streaming environments, open-source frameworks, data preparation, and multi-year AI/ML research programs

🏖️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being • Employment authorization sponsorship may be considered for a new qualified applicant • Reasonable accommodations for applicants who require them

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume