Advanced AI Safety Research Engineer

2 days ago


New York, New York, United States Bloomberg Full time

Company Overview
Bloomberg's Engineering AI department has over 350 AI practitioners building highly sought-after products and features that often require novel innovations. We invest in AI to create better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases.

Salary: $165,000 - $260,000 per year

Job Description
We are seeking a Senior AI Safety Research Engineer to contribute to our team of Machine Learning (ML) and Software Engineers developing innovative solutions for AI-driven customer-facing products. As a member of our team, you will develop risk detection and mitigation systems using a wide range of technologies including BloombergGPT and other LLMs.

Responsibilities:
• Collaborate with teams across the company to ensure best practices around GenAI risks.
• Identify novel GenAI risks and develop new models and mitigation strategies to address them.
• Stay current with the latest research in AI Safety and Alignment and incorporate new findings into our models and methodologies.
• Evangelize AI Safety best practices to application teams across Bloomberg, and help them develop solutions.

Required Skills and Qualifications
• Master's or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience.
• Relevant work experience in AI Safety, AI Alignment, or AI Cybersecurity (5+ years after Masters or 2+ years after Ph.D.).
• Understanding of Computer Science fundamentals such as data structures and algorithms.

Benefits
Bloomberg is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.


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