Senior Engineering Analyst, AI, Safety

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience in data analysis or data science settings.
Experience in programming languages (e.g., Python, R, Julia), database languages (e.g., SQL) and scripting languages (e.g., C/C++, Java).
Preferred qualifications:
Master's degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
Experience in abuse and fraud disciplines, especially focused on web security, harmful content moderation, and threat analysis.
Experience with prompt engineering and fine-tuning Large Language Models (LLMs).
Proficiency in applying machine learning techniques to large datasets.
Strong communication and presentation skills to effectively communicate with a variety of stakeholders, including executive leadership.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.