Main duties include but are not limited to:
Lead a team of motivated engineers who like to build models, ship product integrations, and tackle hard engineering problems. Build cohesive, high-functioning teams that thrive in a culture of trust, respect, and inclusion. Balance autonomy with guidance by giving your teams the tools, context, confidence, and motivation to make decisions effectively and independently. Have the technical capacity to partner with tech leads and be comfortable diving into the fray to help drive resolution in the case of bad incidents. Take responsibility for the group’s short-term and long-term strategy. Define the team's roadmap, success metrics, and priorities in close collaboration with other engineering teams and cross-functional partners. Maintain a balance between building sustainable, high-impact projects and shipping things quickly. Own your team’s deliverables and ensure we continue to ship scalable, highly-available products that delight our users and customers. Initiate collaboration across Engineering, Product and Research to develop high quality performance advertising experiences and inspire your team to independently do the same. Work closely with the Twitter recruiting team to hire high-potential candidates from diverse backgrounds.
Qualifications 1+ years of experience leading a team of Machine Learning Engineers or Modelers. 4+ years of industry experience with Applied Machine Learning. Familiarity with fundamentals of Machine Learning and Data Science. Experience driving impact through cross-functional leadership. Exceptional written and verbal communication skills. Bachelor’s in Computer Science, Mathematics or related quantitative field. Preferred industry experience with Online Advertising and/or Large-scale Distributed Systems. Preferred Master’s or PhD degree in Computer Science, Mathematics or related quantitative field.