Gute Kultur, aber begrenztes Verständnis für maschinelles Lernen - Ingenieur für maschinelles Lernen bei Workday: Mitarbeiterbewertung

Work life balance is very good

Too much org level changes

Excellent engineering talent and knowledgeable coworkers. Strong engineering culture with high code quality standards. Modern technology stack and opportunities to work on large-scale enterprise software. Good work-life balance compared to many tech companies. Competitive compensation, benefits, and employee perks. Collaborative environment with supportive teammates. Opportunities to learn new technologies and grow technically. Stable development processes and mature SDLC practices. Strong emphasis on testing, code reviews, and software quality. Flexible work arrangements (depending on team).

Large organization means decision-making can be slow. Significant amount of process and bureaucracy before changes reach production. Cross-team dependencies can slow delivery. Career growth can depend on organizational priorities and manager support. Frequent reorganizations can shift priorities and disrupt long-term projects. Innovation may move slower than at smaller startups. Internal tools and processes can sometimes feel overly complex. Communication between teams can occasionally be inconsistent. Like much of the tech industry, the company has experienced layoffs, creating uncertainty for some employees. Promotions can take time and require navigating multiple approval levels.