In-House
San Francisco, CA
Attorney in San Francisco, CA
Non-practicing Attorney
Min 2 yrs required
No
Job Title: Applied Researcher I
Salary Information:
- Minimum: $230,000
- Maximum: $278,100
- Annual salaries listed by location
- Part-time salaries will be prorated
- Eligible for performance-based incentive compensation
Experience Information:
- Managerial experience required
- PhD or . degree in related field preferred
- Minimum 2 years of experience in Applied Research
Overview:
- **Members Only** is creating trustworthy and reliable AI systems
- Leading the industry in using machine learning for real-time, intelligent, automated customer experiences
- Commitment to building world-class applied science and engineering teams
- Bringing transformative power of emerging AI capabilities to reimagine how we serve customers and businesses
Team Description:
- AI Foundations team is at the center of bringing vision for AI at **Members Only** to life
- Work touches every aspect of research life cycle
- Partnering with academia, building production systems
- Working with product, technology, and business leaders to apply state of the art AI to business
Responsibilities:
- Partnering with cross-functional team to deliver AI-powered products
- Leveraging a broad stack of technologies to reveal insights hidden within data
- Building AI foundation models through all phases of development
- Engaging in high impact applied research
- Translating complexity of work into tangible business goals
Ideal Candidate:
- Passionate about making the right decision for customers
- Continually researching and evaluating emerging technologies
- Creative and innovative
- A leader, challenging conventional thinking
- Technical, comfortable with open-source languages
- Hands-on experience developing AI foundation models and solutions
- Deep understanding of AI methodologies
- Experience building large deep learning models
- Engineering mindset, delivering models at scale
- Professional with track record of high-quality ideas in machine learning
Basic Qualifications:
- Currently has, or is obtaining, a PhD or . degree
- Expectation that degree will be obtained on or before scheduled start date
Preferred Qualifications:
- PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
- LLM
- Focus on NLP or Masters with 5 years of industrial NLP research experience
- Multiple publications on topics related to pre-training of large language models
- Member of team that has trained a large language model from scratch
- Publications in deep learning theory
- Behavioral Models
- Focus on topics in geometric deep learning
- Multiple papers on training models on graph and sequential data structures
- Experience with large scale deep learning based recommender systems
- Contributions to common open source frameworks
- Proposed new methods for inference or representation learning
- Worked with datasets with 100m+ users
- Optimization (Training & Inference)
- PhD focused on optimizing training of very large deep learning models
- Multiple years of experience or publications on training optimization
- Experience optimizing training for a 10B+ model
- Deep knowledge of deep learning algorithmic and/or optimizer design
- Experience with compiler design
- Finetuning
- PhD focused on guiding LLMs with further tasks
- Demonstrated knowledge of principles of transfer learning
- Experience deploying a fine-tuned large language model
- Data Preparation
- Publications studying tokenization, data quality, dataset curation, or labeling
- Contribution to a major open source corpus
- Contribution to open source libraries for data quality, dataset curation, or labeling
Company Information:
- **Members Only**
- Locations: McLean, Virginia Richmond, Virginia Cambridge, Massachusetts New York, New York Plano, Texas San Francisco, California
- Category: Technology
- Experience Manager
- Primary Address: McLean, Virginia
Application Details:
- Expected to accept applications for a minimum of 5 business days
- No agencies please
Equal Opportunity Employer:
- Committed to diversity and inclusion in the workplace
- All qualified applicants will receive consideration for employment without regard to sex, 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
- Promotes a drug-free workplace
- Will consider applicants with criminal history in accordance with applicable laws
Accommodations:
- If you require an accommodation, please contact **Members Only** Recruiting
- All information will be kept confidential and used only to provide necessary accommodations
Technical Support:
- For technical support or questions about **Members Only**'s recruiting process, please send an email
Legal Disclaimer:
- **Members Only** does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site
**Members Only** Financial:
- Made up of several different entities
- Positions in Canada for **Members Only** Canada
- Positions in United Kingdom for **Members Only** Europe
- Positions in Philippines for **Members Only** Philippines Service Corp. (COPSSC)
Apr 21, 2025
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Sep 18, 2024
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