Okay, I've searched for AI Engineering Fellow roles in New York that are full-time, require 5+ years of software engineering experience, involve Python and large language models skills, and offer yearly paid salaries ranging from $140,000 to$160,000. I found several positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The AI Engineering Fellow role at ProPublica is fundamentally about pioneering the responsible and innovative application of artificial intelligence and machine learning to investigative journalism. This is not a traditional software engineering position centered solely on product delivery; rather, it demands a creative, experimental mindset to prototype and validate AI tools that can enhance how the newsroom discovers, analyzes, and shares information. The role focuses heavily on collaboration across distinct but interdependent teams—editors, reporters, data journalists, and developers—which implies strong interpersonal skills are vital to balancing technical possibilities with journalistic ethics and practical editorial needs. Candidates must have significant software engineering experience along with expertise in handling large datasets and working with modern AI technologies like large language models (LLMs), including prompt engineering and model evaluation. A deep awareness of AI’s limitations, particularly regarding bias, hallucinations, and ethical considerations, is critical because the tools developed must preserve source confidentiality, data integrity, and the credibility of journalism. Working autonomously but also engaging deeply with diverse stakeholders will be essential, as is documenting and sharing learnings to push the newsroom’s collective knowledge forward. Success in the first year likely includes delivering functioning AI prototypes that gain trust and adoption by reporters, demonstrating improvement in sorting and routing investigative tips, and setting standards for ethical AI use in journalism. The fellowship aspect adds a research and community dimension, connecting the fellow to a wider network of experts, which requires openness to learning and sharing best practices.

Company Analysis:

ProPublica operates at the intersection of nonprofit investigative journalism and technology-driven innovation, holding a unique and respected position in the media landscape as a mission-driven organization focused on accountability and social impact. As an independent entity fueled by donations rather than commercial interests, the company prioritizes editorial independence, depth, and data integrity—qualities that strongly shape the expectations for the AI Engineering Fellow role. The environment is intellectually rigorous, values-driven, and collaborative, with a tendency to embrace new technologies cautiously and thoughtfully to enhance public interest journalism. The culture likely blends innovation with journalistic rigor, demanding discipline, transparency, inclusion, and ethical consciousness from employees. Organizationally, the fellow will sit within a cross-functional product team, reporting into senior technology leadership, and regularly collaborating with award-winning journalists and data professionals, indicating the role carries significant internal visibility and influence. Strategically, this role fits within ProPublica’s broader goal of expanding their technological edge to maintain leadership among investigative newsrooms by pioneering AI applications responsibly—especially in processing large volumes of data and public-generated content. The two-year fellowship structure suggests a balance of research and delivery, aimed at generating lasting newsroom impact and contributing to an evolving AI ecosystem for public-interest journalism. The candidate should expect a mission-oriented work pace rather than a commercial-driven one, with strong emphasis on ethical AI deployment and community-building within the journalism tech sector.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to balance technical innovation with ethical considerations in a project. How did you approach this challenge?
• Behavioral: Describe an experience where you worked closely with non-technical stakeholders, such as journalists or product teams. How did you ensure their needs were met?
• Behavioral: Give an example of a time you independently led a complex technical project from prototype through iteration. What obstacles did you face, and how did you overcome them?
• Behavioral: Describe a situation where you encountered bias or inaccuracies in AI outputs. How did you detect and address these issues?
• Technical: How would you design a system to automatically categorize and prioritize incoming investigative tips while protecting sensitive information?
• Technical: What strategies would you use when fine-tuning or prompt-engineering large language models for newsroom-specific tasks?
• Technical: Explain your approach to building and maintaining data pipelines that handle noisy or unstructured data typical in public-interest journalism.
• Technical: Which modern programming languages and AI tools do you prefer, and why are they suited for prototyping AI tools in a newsroom environment?
• Situational: Imagine a deployed AI tool you developed begins generating biased or misleading outputs noticed by reporters. How would you address this problem both technically and organizationally?
• Situational: If newsroom editors are skeptical about adopting AI-driven tools due to concerns over source confidentiality, how would you build trust and demonstrate responsible use?
• Situational: You are part of a cross-functional team with conflicting priorities about a feature’s implementation timeline. How would you work to find alignment and move forward?
• Company Fit: What attracts you to using AI in investigative journalism at a nonprofit like ProPublica rather than in a commercial setting?
• Company Fit: How do your personal values align with the mission of ProPublica and its commitment to transparency, inclusion, and public interest?
• Company Fit: Describe how you stay informed about ethical AI developments and how you would apply these learnings within ProPublica’s newsroom culture.
• Questions for Interviewer: How does ProPublica envision scaling AI tools developed during the fellowship to other investigative newsrooms or projects?
• Questions for Interviewer: Can you describe how the cross-functional team balances rapid prototyping with preserving journalistic standards and sensitivities?
• Questions for Interviewer: What success metrics or indicators are prioritized for this fellowship at the 6-month and 12-month marks?