Remote Natural Language Processing Developer Jobs

Requirements

• Set technical direction for projects developing and applying safety methods and pipelines
• Engage with stakeholders to translate mission needs and operational constraints into actionable safety requirements
• Lead projects and programs to design, implement, and validate model evaluation for cutting edge AI
• Translate cutting-edge research into mission-relevant tools and prototypes

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Strong engineering skills and experience in writing production-quality code
• Background in generative models, natural language processing, LLMs, or diffusion models
• Experience with failure analysis, quality engineering, or robustness analysis for AI/ML based features
• Experience working with crowd-based annotations and human evaluations
• Work with highly-sensitive content with exposure to offensive and controversial content

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Design and develop key components of security services in Artificial Intelligence (AI) security for Google Cloud.
• Collaborate with peers and area Team Leaders (TLs) to undertake productization of Secure AI initiatives.
• Ensure standards of production availability and reliability of services while sharing the on-call responsibilities with the engineering team.
• Contribute towards building technical capabilities in the India team by mentoring or coaching other team members.
• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• A degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related quantitative field
• Proficiency in Python and/or other programming languages
• Solid knowledge of machine learning, Generative AI or Natural Language Processing
• Excellent communication skills with the ability to explain complex technical concepts clearly
• Experience with AI governance frameworks or validation methodologies
• Knowledge of regulatory requirements related to AI systems
• Familiarity with model documentation standards
• Collaborative mindset and ability to work across multiple teams

Benefits

• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Conduct independent validation of AI/ML models
• Design and implement comprehensive validation strategies and test plans
• Define clear success criteria and quality benchmarks
• Assess conceptual soundness, methodology, and alignment with intended business use
• Review data quality, preprocessing steps, and feature engineering for AI use cases
• Execute functional and performance tests
• Evaluate performance metrics, robustness, and limitations under various scenarios
• Document validation findings, provide recommendations

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Develop and enhance conversational AI capabilities
• Drive strategic integration planning for AI Security Assistant
• Manage end-to-end product lifecycle for AI Security Assistant
• Collaborate with AI/ML engineering teams
• Partner with SOC teams to identify and prioritize internal use cases
• Define and prioritize ASA capabilities that enhance SOC analyst productivity
• Streamline security operations workflows and improve customer self-service experiences

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Stock Options
• Training Budget
• Wellness Programs

Skills

Requirements

• Design framework for technical auditing of AI/ML systems
• Conduct independent audits of AI/ML systems
• Verify compliance with benchmark standards
• Assess data quality, feature engineering practices, and model development pipelines
• Evaluate ML model performance, robustness, explainability, and alignment with intended business outcomes
• Review deployment processes, model versioning, and monitoring practices
• Utilize Watsonx Governance and other enterprise AI governance tools
• Define, implement, and maintain AI governance frameworks, policies, and best practices

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills