We use a unique longitudinal sample of student teachers ("interns") from six Washington state teacher training institutions to investigate patterns of entry into the teaching workforce. Specifically, we estimate split population models that simultaneously estimate the impact of individual characteristics and student teaching experiences on the timing and probability of initial hiring as a public school teacher. Not surprisingly, we find that interns endorsed to teach in "difficult-to-staff" areas are more likely to be hired as teachers than interns endorsed in other areas. Younger interns, white interns, and interns who did their student teaching in suburban schools are also more likely to find a teaching job. Prospective teachers who do their internships at schools that have more teacher turnover are more likely to find employment, often at those schools. Finally, interns with higher credential exam scores are more likely to be hired by the school where they did their student teaching. Contrary to expectations, few of the measures of the quality or the experience of an intern's cooperating teacher are predictive of workforce entry in the expected direction.