Grid Dynamics International, Inc.
Responsible AI / Data Specialist
Grid Dynamics International, Inc., San Ramon, California, United States, 94583
This role is for a
Responsible AI & AI Safety Specialist
to help develop and implement strategies for building safe, ethical, and beneficial AI systems. You will play a crucial role in identifying potential risks, drafting policies, conducting rigorous evaluations, and shaping the development of AI technologies to align with responsible AI principles and safety best practices. An ideal candidate possesses a strong understanding of AI safety concerns, experience in conducting risk assessments and evaluations, and the ability to translate research findings into actionable recommendations for engineering, product, and policy teams. Essential functions In this role, you will: Risk Assessment & Mitigation:
Work closely with engineers, PMs, designers, and data scientists to identify potential risks and unintended consequences associated with AI systems (e.g., bias, fairness, privacy, security, robustness, interpretability, controllability). Develop and implement appropriate risk mitigation strategies. AI Safety Evaluations:
Design and conduct rigorous evaluations of AI systems using methods such as quantitative analysis, simulations, red teaming, and user studies to assess safety, reliability, and alignment with goals. Empirical Research:
Investigate AI system behavior and impact using empirical methods like simulations, adversarial testing, robustness analyses, log analysis, and apply statistical methods to interpret results. Policy & Guidelines:
Contribute to developing internal guidelines, policies, and best practices for responsible AI development and deployment, ensuring compliance with regulations and ethical standards. Reporting & Communication:
Report research findings and recommendations to stakeholders across the organization, including engineering, product, legal, and executive teams. Communicate complex technical concepts clearly and concisely. Collaboration & Mentorship:
Work independently and collaboratively with cross-functional teams. Mentor other researchers and engineers to promote a culture of responsible AI and AI safety. Qualifications 4+ years of experience in applied research or engineering related to AI safety, responsible AI, or a related field. Bachelors degree in Information Science, Computer Science, Science and Technology Studies, Artificial Intelligence, or a socio-technical field. Strong understanding of AI safety concerns, including alignment, adversarial testing, robustness, and content moderation. Ability to analyze and produce high-level reports of quantitative and qualitative data related to AI system performance, safety metrics, and risk assessments, including data from simulations and real-world deployments. Proficiency in producing meaningful visualizations and reports, and effectively presenting results to diverse audiences. Ability to work independently to drive outcomes among cross-functional teams with minimal supervision. Organized, detail-oriented, and good time management skills. Excellent written and oral communication skills. Industry experience. Would be a plus Experience designing and conducting experiments to evaluate AI behavior under various conditions, including adversarial attacks and edge cases. Advanced degree (MS/PhD) in relevant fields. Experience with AI safety tools and frameworks. Data science experience with large, distributed data frameworks (e.g., Spark, Hadoop). Prior experience in AI safety or responsible AI topics. Familiarity with relevant regulations and ethical guidelines (e.g., EU AI Act). Experience with red teaming and adversarial testing of AI systems. Experience with technical AI safety mitigations. We offer Opportunity to work on cutting-edge projects Collaborate with a motivated and dedicated team Corporate social events Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve pressing technical challenges and enable positive business outcomes for enterprise clients undergoing transformation. With 8 years of leadership in enterprise AI, supported by expertise in data, analytics, cloud & DevOps, application modernization, and customer experience, founded in 2006 and headquartered in Silicon Valley, with offices worldwide. #J-18808-Ljbffr
Responsible AI & AI Safety Specialist
to help develop and implement strategies for building safe, ethical, and beneficial AI systems. You will play a crucial role in identifying potential risks, drafting policies, conducting rigorous evaluations, and shaping the development of AI technologies to align with responsible AI principles and safety best practices. An ideal candidate possesses a strong understanding of AI safety concerns, experience in conducting risk assessments and evaluations, and the ability to translate research findings into actionable recommendations for engineering, product, and policy teams. Essential functions In this role, you will: Risk Assessment & Mitigation:
Work closely with engineers, PMs, designers, and data scientists to identify potential risks and unintended consequences associated with AI systems (e.g., bias, fairness, privacy, security, robustness, interpretability, controllability). Develop and implement appropriate risk mitigation strategies. AI Safety Evaluations:
Design and conduct rigorous evaluations of AI systems using methods such as quantitative analysis, simulations, red teaming, and user studies to assess safety, reliability, and alignment with goals. Empirical Research:
Investigate AI system behavior and impact using empirical methods like simulations, adversarial testing, robustness analyses, log analysis, and apply statistical methods to interpret results. Policy & Guidelines:
Contribute to developing internal guidelines, policies, and best practices for responsible AI development and deployment, ensuring compliance with regulations and ethical standards. Reporting & Communication:
Report research findings and recommendations to stakeholders across the organization, including engineering, product, legal, and executive teams. Communicate complex technical concepts clearly and concisely. Collaboration & Mentorship:
Work independently and collaboratively with cross-functional teams. Mentor other researchers and engineers to promote a culture of responsible AI and AI safety. Qualifications 4+ years of experience in applied research or engineering related to AI safety, responsible AI, or a related field. Bachelors degree in Information Science, Computer Science, Science and Technology Studies, Artificial Intelligence, or a socio-technical field. Strong understanding of AI safety concerns, including alignment, adversarial testing, robustness, and content moderation. Ability to analyze and produce high-level reports of quantitative and qualitative data related to AI system performance, safety metrics, and risk assessments, including data from simulations and real-world deployments. Proficiency in producing meaningful visualizations and reports, and effectively presenting results to diverse audiences. Ability to work independently to drive outcomes among cross-functional teams with minimal supervision. Organized, detail-oriented, and good time management skills. Excellent written and oral communication skills. Industry experience. Would be a plus Experience designing and conducting experiments to evaluate AI behavior under various conditions, including adversarial attacks and edge cases. Advanced degree (MS/PhD) in relevant fields. Experience with AI safety tools and frameworks. Data science experience with large, distributed data frameworks (e.g., Spark, Hadoop). Prior experience in AI safety or responsible AI topics. Familiarity with relevant regulations and ethical guidelines (e.g., EU AI Act). Experience with red teaming and adversarial testing of AI systems. Experience with technical AI safety mitigations. We offer Opportunity to work on cutting-edge projects Collaborate with a motivated and dedicated team Corporate social events Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve pressing technical challenges and enable positive business outcomes for enterprise clients undergoing transformation. With 8 years of leadership in enterprise AI, supported by expertise in data, analytics, cloud & DevOps, application modernization, and customer experience, founded in 2006 and headquartered in Silicon Valley, with offices worldwide. #J-18808-Ljbffr