- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
- Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
- Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
- Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
- You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
- Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
- Has a deep understanding of the foundations of AI methodologies.
- Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
- An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.
- Experience in delivering libraries, platform level code or solution level code to existing products.
- A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
- Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.
- Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money.
- Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
- Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
- Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
- Ph.D. plus at least 6 years of experience in Applied Research or M.S. plus at least 8 years of experience in Applied Research
- PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
- LLM
- PhD focus on NLP or Masters with 10 years of industrial NLP research experience
- Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
- Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
- Has worked on an LLM (open source or commercial) that is currently available for use
- Demonstrated ability to guide the technical direction of a large-scale model training team
- Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens
- Experience with common training optimization frameworks (deep speed, nemo)
- Behavioral Models
- PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)
- Member of technical leadership for model deployment for a very large user behavior model
- Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR
- Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems
- Experience with production real-time and streaming environments
- Contributions to common open source frameworks (pytorch-geometric, DGL)
- Proposed new methods for inference or representation learning on graphs or sequences
- Worked datasets with 100m+ users
- Optimization (Training & Inference)
- PhD focused on topics related to optimizing training of very large language models
- 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
- Finetuning
- PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)
- Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance
- Experience deploying a fine-tuned large language model
- Data Preparation
- Numerous Publications studying tokenization, data quality, dataset curation, or labeling
- Leading contributions to one or more large open source corpus (1 Trillion + tokens)
- Core contributor to open source libraries for data quality, dataset curation, or labeling
-
Director of Applied Research
2 weeks ago
Ministrylist Boston, MA, United StatesJob Type: Non-Profit/Parachurch/Missions,Other Professional Ministry Positions · The Emmanuel Gospel Center (EGC) is dedicated to empowering the Church towards Shalom in Greater Boston. We employ a multifaceted approach, encompassing applied research, systems practice, ministry ...
-
Principal Applied Research Scientist AI
2 weeks ago
G-P Boston, MA, United StatesPrincipal Applied Research Scientist -AI · With remote-first and diverse teams all around the world, our people are key to achieving this mission. That's why we trust our Dream Team members with the flexibility and autonomy to do their best and most innovative work, encourage an ...
-
Principal Applied Research Scientist AI
1 week ago
Portershed Boston, MA, United StatesAt G-P, our mission is to break down barriers to global business, enabling opportunities for everyone, everywhere. With remote-first and diverse teams all around the world, our people are key to achieving this mission. That's why we trust our Dream Team members with the flexibili ...
-
Principal Applied Research Scientist AI
1 week ago
Portershed Boston, MA, United StatesWith remote-first and diverse teams all around the world, our people are key to achieving this mission. That's why we trust our Dream Team members with the flexibility and autonomy to do their best and most innovative work, encourage and support their personal growth and career d ...
-
Principal Applied Research Scientist AI
2 weeks ago
G-P Boston, MA, United StatesPrincipal Applied Research Scientist -AI · At G-P, our mission is to break down barriers to global business, enabling opportunities for everyone, everywhere. With remote-first and diverse teams all around the world, our people are key to achieving this mission. That's why we tru ...
-
Apple Cambridge, United StatesAIML - Applied ML Researcher, Econometrics & Forecasting · Cambridge,Massachusetts,United States · Machine Learning and AI · We are a group of researchers and engineers at the forefront of innovations to improve Apples business planning through market, sales and supply chain o ...
-
Apple Cambridge, United StatesSummary · Posted: May 18, 2024 · Weekly Hours: 40 · Role Number: · We are a group of researchers and engineers at the forefront of innovations to improve Apple's business planning through market, sales and supply chain optimizations. Our goal is to drive topline impact and s ...
-
Research Associate
2 weeks ago
Forrester Cambridge, United StatesAt Forrester, we're trusted to work on trailblazing, mission critical problems that business and technology leaders face today. That's why we're always looking to empower talented individuals to perform at their best every single day. We're proud of our community of smart people ...
-
Principal Analyst
1 week ago
Forrester Cambridge, United StatesAt Forrester, we're trusted to work on trailblazing, mission critical problems that business and technology leaders face today. That's why we're always looking to empower talented individuals to perform at their best every single day. We're proud of our community of smart people ...
-
Discovery Postdoctoral Fellow, Neuroscience
2 days ago
Novartis Cambridge, United States**About the Role**: · Internal Job Title: Discovery Postdoctoral Fellow · Position Location: Cambridge, MA, onsite · About the role: · Come join Novartis Biomedical Research as a Discovery Postdoctoral Fellow and contribute to tackling one of the most pressing challenges in the m ...
-
Novartis Cambridge, United States**About the Role**: · Biomedical Research (BR) is the global pharmaceutical research organization of Novartis. With approximately 6,000 scientists and physicians around the world, our research is focused on discovering innovative new drugs that will change the practice of medicin ...
-
Data Partner
10 hours ago
Forrester Cambridge, United StatesAt Forrester, we're trusted to work on trailblazing, mission critical problems that business and technology leaders face today. That's why we're always looking to empower talented individuals to perform at their best every single day. We're proud of our community of smart people ...
-
Discovery Postdoctoral Fellow, Covalent Drug
2 days ago
Novartis Cambridge, United States**About the Role**: · Internal Job Title: Discovery Postdoctoral Fellow · Position Location: Cambridge, MA onsite · About the role: · Discovery Fellows have a unique opportunity to conduct innovative, interdisciplinary research and are expected to publish their results in leading ...
-
Novartis Cambridge, United States**Summary**: · Location: Cambridge, MA #LI-Hybrid BioMedical Research (BR) is the global pharmaceutical research organization of Novartis. With approximately 6,000 scientists and physicians around the world, our research is focused on discovering innovative new drugs that will ch ...
-
registered nurse
1 week ago
Mount Auburn Hospital Cambridge, United States Full timeJob Type: Regular · Time Type: Full time · Work Shift: Rotating (United States of America) · FLSA Status: Non-Exempt · When you join the growing BILH team, you're not just taking a job, you're making a difference in people's lives. · Job Type: · RegularScheduled Hours: · 36Work S ...
-
Registered Nurse L&D
1 week ago
Mount Auburn Hospital Cambridge, United StatesJob Type: Per Diem · Time Type: Part time · Work Shift: Rotating (United States of America) · FLSA Status: Non-Exempt · When you join the growing BILH team, you're not just taking a job, you're making a difference in people's lives. · Job Type: · Per DiemScheduled Hours: · 0Work ...
-
Lead Medical Assistant
1 week ago
Mount Auburn Hospital Cambridge, United States Full timeJob Type: Regular · Time Type: Full time · Work Shift: Day (United States of America) · FLSA Status: Non-Exempt · When you join the growing BILH team, you're not just taking a job, you're making a difference in people's lives. · Job Type: · RegularScheduled Hours: · 40Work Shift: ...
-
Associate Director Product Growth Manager X3
2 days ago
Novartis Cambridge, United States**About the Role**: · This position is available in Switzerland or US. · BioMedical Research (BR) is the global pharmaceutical research organization of Novartis. With approximately 6,000 scientists and physicians around the world, our research is focused on discovering innovative ...
-
Deposit Operations Representative Ii
2 days ago
Harvard University Cambridge, United States**Job Summary** · Reporting to the Deposit Operations Senior Manager, this position performs operational support functions to enhance efficient deposit account servicing and effective service to members. Specifically, this position is responsible for most aspects of Deposit Opera ...
-
Takeda Pharmaceutical Cambridge, United States Full timeBy clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda'sPrivacy Notice and Terms of Use. I further attest that all information I subm ...
Sr. Distinguished Applied Researcher - Cambridge, United States - eSmartloan
Description
314 Main Street , United States of America, Cambridge, MassachusettsSr. Distinguished Applied Researcher
At Capital One, we are creating trustworthy and reliable 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. 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.
Team Description:
The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.
This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community.
In this role, you will:
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 ; 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 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).
Sr. Distinguished Applied Researcher professionals in Cambridge
-
Leo Pedrelli
Communications and Media Manager