Conversational AI & NLP Specialist
Austin, TX | Menlo Park, CA | Seattle, WA | New York, NY
Meta
Giving people the power to build community and bring the world closer together
Meet the Team
The Global People Operations team aims to create and deliver a seamless and efficient experience across the employee lifecycle. Within People Ops is the HR Tech team, which focuses primarily on facilitating optimal solutions across the internal information ecosystem. HR Tech is a multidisciplinary team of experts spanning content strategy, enterprise content management, system & solution design, enterprise architecture, and data & analytics. This team partners most closely with Engineering, product managers, content designers, user experience researchers, and teams that represent various operational processes and programs across the HR business.
The Ideal Candidate
This role is for a Conversational Artificial Intelligence and Natural Language Processing specialist, an autonomous individual contributor that will support delivering internal AI products and services for Global People Operations functions.
We’re looking for experience with:
- Domain knowledge of conversational AI, especially as it pertains to compassionate customer support, workflow integration opportunities, and scalable self-service.
- Outstanding skills in statistical analysis, machine learning methods and text representation techniques.
- Experience collaborating across business stakeholders and engineering partners to scope, design, test, and deliver world-class AI solutions.Conversational AI & NLP Specialist Responsibilities
$151,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
The Global People Operations team aims to create and deliver a seamless and efficient experience across the employee lifecycle. Within People Ops is the HR Tech team, which focuses primarily on facilitating optimal solutions across the internal information ecosystem. HR Tech is a multidisciplinary team of experts spanning content strategy, enterprise content management, system & solution design, enterprise architecture, and data & analytics. This team partners most closely with Engineering, product managers, content designers, user experience researchers, and teams that represent various operational processes and programs across the HR business.
The Ideal Candidate
This role is for a Conversational Artificial Intelligence and Natural Language Processing specialist, an autonomous individual contributor that will support delivering internal AI products and services for Global People Operations functions.
We’re looking for experience with:
- Domain knowledge of conversational AI, especially as it pertains to compassionate customer support, workflow integration opportunities, and scalable self-service.
- Outstanding skills in statistical analysis, machine learning methods and text representation techniques.
- Experience collaborating across business stakeholders and engineering partners to scope, design, test, and deliver world-class AI solutions.Conversational AI & NLP Specialist Responsibilities
- Research and share industry best practices and cutting edge approaches to elevate conversational AI beyond traditional “HR” practices
- Use NLP techniques to transform natural language data that feeds classification algorithms
- Collaborate with engineers and applied research scientists to deliver efficient algorithms and robust systems that scale to support global Meta employees
- Understand how data from API calls, databases, and other technologies fit into design, and collaborate with developers on implementing solutions
- Develop the technical direction for conversational assistants for Meta’s People teams, making connection with other areas of the company to develop standards
- Translate high-level business requirements into detailed system-level and functional requirements for technical implementation
- Create and refine thorough, accurate flow diagrams and other related documentation to communicate the behavior of a complete conversational system
- Contribute to requirements gathering, user stories, estimates, and roadmapping
- When needed, design and lead different types of testing (A/B, focus groups, usability testing, QA), synthesize results, and iterate based on results to ensure customer-centric and highly usable products
- Educate colleagues and stakeholders so the entire team understands key tenets of conversation designs
- Contribute to the development of proof of concepts and/or pilots while working with Cross Functional Partner partners
- Think beyond individual design and project requirements to see the bigger picture – how your work ties into the larger ecosystem and platform strategy agile
- Collaborate and build rapport with design, product, data and tech partners in an environment
- Bachelor's degree in a directly related field, or equivalent practical experience.
- 5+ years of experience solving problems with Conversational AI in an academic or professional setting
- A track record of applying strategy, user-centered approaches and insights to your work
- Experience in to creating and evolving concepts in a collaborative environment through team and stakeholder reviews and can bring new ideas to the table
- A knowledge of design principles, standards and User Experience best practices
- Master's Degree in Computer Science, Computational Linguistics, Engineering, Informatics, or equivalent experience
- Experience delivering detailed copy decks, including edge cases, versioning and metadata
$151,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Categories:
Deep Learning Jobs
NLP Jobs
Tags: Agile APIs Architecture Classification Computer Science Conversational AI Engineering Linguistics Machine Learning NLP Physics Research Statistics Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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