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It\u2019s no secret that the gender gap still exists within STEM. Despite a slight increase in recent years, studies show that women only make up about a quarter<\/a> of the overall STEM workforce in the UK. While the reasons vary, many women report<\/a> feeling held back by a lack of representation, clear opportunities and information on what working in the sector actually involves. <\/p>\n Closing the gap within STEM is not a quick fix but a collective effort of everyone in the industry. Various organisations like Women in Machine Learning<\/a> (WiML) actively work to help create a more inclusive environment where the successes of women are amplified. They also stand as an important point of information for the many women who want to learn more about what it\u2019s like to work in STEM. <\/p>\n That\u2019s why for this year\u2019s International Women in Engineering Day<\/a>, we asked the WiML community to share with us the most common questions they receive about technical interviewing. To share their perspectives and to discuss what it\u2019s actually like to work at DeepMind, we brought together Mihaela Rosca (Research Engineer), Feryal Behbahani (Research Scientist) and Kate Parkyn (Recruitment Lead – Research & Engineering).<\/p>\n Mihaela: <\/strong>It\u2019s not uncommon to have self doubts or feel as if you\u2019re under prepared for a position in the field. There will never be a perfect time to apply and you can easily convince yourself that there\u2019s more to learn but that shouldn\u2019t be a deterring factor in your decision to apply. <\/p>\n Of course the right skillset will depend on the specific role you\u2019re after, but if you\u2019re keen to work on the future of machine learning research, read research papers and implement state of the art algorithms – you\u2019re ready…so apply! <\/p>\n Curious? Learn more about our research<\/a> and engineering<\/a> teams.<\/p>\nHow do I know if I am ready to apply for a role in industry? <\/strong><\/h4>\n