Jack Weis, a 30-year-old chemical engineering Ph.D. graduate from Princeton University, has applied for more than 2,300 jobs since completing his doctorate in 2024 but has yet to secure stable employment. His experience, detailed in a Wall Street Journal report published October 17, 2026, has drawn attention to the challenges highly educated professionals can face in the U.S. job market.
Despite an impressive academic background, Weis has struggled to turn his qualifications into a full-time career. His search has taken him from scientific research positions and prestigious postdoctoral opportunities to software engineering, corporate roles and jobs outside his field of specialization.
From Academic Achievement to an Extended Job Search
Weis graduated summa cum laude from Rice University before beginning his doctoral studies at Princeton in 2018. He earned his Ph.D. in chemical engineering in 2024, bringing years of advanced study and research to his search for employment.
Initially, he pursued positions in corporate science and research, including opportunities with pharmaceutical companies and national laboratories. When those applications failed to produce the results he hoped for, he broadened his search to include software engineering and other professional roles.
He eventually considered positions far removed from his academic specialization. His applications included food-preparation work at a company that sells frozen crab cakes, illustrating how widely he had expanded his search in an effort to find employment.
Temporary AI Training Work Offered Only Limited Relief
Weis also found temporary work training artificial intelligence models. In January 2026, he began working with AI startup Mercor on assignments that drew on his technical knowledge, including engineering and fluid mechanics.
The contract initially offered a way to earn income while using his expertise. According to the Wall Street Journal’s reporting, the work paid $70 an hour, but assignments subsequently declined, and the engagement ended in mid-March 2026.
The experience highlights the difference between obtaining short-term contract work and securing a dependable position with predictable income. Although AI-related work briefly provided an opportunity, it did not develop into a lasting source of employment for Weis.
Why His Research Background Has Drawn Attention
Weis’s academic experience has made his employment difficulties particularly striking. His research involving ice formation has been discussed as an example of how machine learning can be applied to scientific problems. The 2024 Nobel Prize in Physics recognized John Hopfield and Geoffrey Hinton for foundational discoveries and inventions that enabled machine learning with artificial neural networks. Weis was not a Nobel Prize recipient.
His experience also raises questions about how employers evaluate advanced degrees, research experience and specialized technical skills when hiring. A doctoral qualification can demonstrate substantial expertise, but it does not guarantee that a candidate’s background will match available vacancies or that employers will respond to an application.
U.S. Graduate Employment Remains a Concern
Data from the Federal Reserve Bank of New York provide broader context for the challenges facing recent college graduates. Its figures for the second quarter of 2026 show an unemployment rate of approximately 5.6% and an underemployment rate of 42% among recent graduates.
For this analysis, the New York Fed defines recent graduates as people ages 22 to 27 who hold at least a bachelor’s degree. Underemployment generally means working in a job that does not typically require a college degree. These figures describe a broader group of graduates, not Weis’s specific circumstances or the employment outcomes of Ph.D. holders alone.
The figures nevertheless illustrate an important distinction in the employment market: having a degree and finding work that matches one’s education are not necessarily the same thing. Graduates may face difficulties finding suitable positions even when they have invested years in higher education.
Weis’s job search also highlights the uncertainty associated with application-heavy recruitment processes. Submitting large numbers of applications does not guarantee interviews or offers, particularly when employers are seeking narrow combinations of experience, technical skills and job-specific qualifications.
What Comes Next for Jack Weis?
Weis has continued to explore alternatives as he considers his next career move. The Wall Street Journal reported that he was considering law school and working on an artificial intelligence-powered drone intended to help address invasive weeds.
These options represent different approaches to a difficult situation: pursuing additional education, developing a potential business or technology project, and continuing to seek employment. Each would involve its own costs, risks and career considerations.
His experience does not establish that advanced degrees have lost their value or that every highly qualified graduate will struggle to find work. Instead, it illustrates how individual career outcomes can diverge from academic achievement, particularly when specialized expertise meets uncertain hiring demand.
With more than 2,300 applications behind him, Weis’s search has become an example of the obstacles some highly educated job seekers encounter when trying to convert years of study and research into stable employment. His case also underscores the importance of examining hiring conditions, job requirements and the quality of employment opportunities rather than relying on educational credentials alone.