Principal Applied Scientist (AI)

TL;DR

Principal Applied Scientist (AI): Leading the science behind Discover’s ranking and content‑quality stack, combining LLMs, multimodal models, and large‑scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. Focus on encoding safety standards and editorial principles into the ML system and ensuring our AI solutions elevate relevance, transparency, and engagement for real users.

Location: Redmond, United States. Employees who live within a 50-mile commute of a designated hirify.global office in the U.S. are expected to work from the office at least four days per week.

Salary: USD $139,900 – $274,800 per year.

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Lead content‑quality understanding at scale, designing and deploying models that assess credibility, usefulness, freshness, safety, and diversity across modalities.
• Advance the recommendation & ranking stack, architecting and productionizing large‑scale DNN/LLM‑enhanced recommenders, balancing user satisfaction, content quality, and business goals.
• Own evaluation and experimentation, defining offline metrics and online methodologies to confidently attribute impact and guard against regressions.
• Champion safety & trust by partnering with policy and platform teams to encode safety standards and editorial principles into the ML system.
• Scale end-to-end ML systems, collaborating with engineering on data contracts, feature stores, and distributed training/inference.
• Mentor and influence peers through design reviews, deep‑dives, and principled decision-making.

Requirements

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research).
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research).
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Nice to have

• Master’s Degree in Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g. machine learning, deep learning or similar technologies).
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• Publications at top AI/ML conferences (e.g., KDD, SIGIR, EMNLP, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.).
• Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval‑augmented recommendation; familiarity with counterfactual learning and multi‑objective optimization.
• Experience building content integrity/safety systems (e.g., misinformation, harmful content, low‑quality/duplicate detection) and quality‑aware ranking.

Culture & Benefits

• Growth mindset, innovate to empower others, and collaborate to realize our shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.