Machine Learning Engineering Manager

Job Description

Zendesk is looking for a motivated Machine Learning Engineering Manager to join our team.

Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.

Our team is responsible for helping Customer Experience teams to achieve their best, by solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in AI algorithms to help us on that mission, and we're passionate about empowering our customers.

As a Machine Learning Engineering Manager, you will be responsible for expanding and leading a distributed team of ML Engineers, fostering healthy relationships, collaboration and engagement, while overseeing the development and deployment of AI capabilities. Your role will also involve mentoring and coaching team members, conducting performance evaluations, and finding opportunities for process improvements and innovation. Ultimately, your goal will be to ensure that your team delivers high-quality, scalable, and efficient machine learning systems that drive business success.

What you’ll be doing

• Lead the recruitment and staffing efforts by partnering with recruitment team.
• You will have regular, open, action-orientated 1:1s with your reports and set goals that will bring them to the next level and further their careers.
• Manage a team of machine learning engineers and software developers to design, develop, and deploy AI-enabled customer support features.
• Collaborate with other engineering teams and other functional areas, including product management and data science, to understand business requirements and translate them into technical solutions.
• Manage and prioritize the team’s work to ensure timely delivery of high-quality solutions that meet business requirements.
• Contribute to discussions on the technical roadmap by advocating for scalability, reliability, and efficiency for the team
• Ensure the team has a deep understanding of the company’s data architecture, data governance, and data management processes to ensure accurate and timely data access and availability applications.
• Develop and maintain in the team best practices for machine learning model development, testing, deployment and monitoring to ensure high reliability, scalability, and maintainability.
• Drive the incorporation in services of innovative machine learning models and algorithms, to continuously improve the effectiveness of AI features.
• Mentor and coach team members to develop their skills and capabilities in machine learning, data science, and software engineering.

What you bring to the role

Required Experience

• Experience in leading engineering teams to deliver technically exciting projects
• Solid experience as an engineer building and deploying services at scale
• Experience or desire in building a team, managing its morale, developing hiring strategies and the career aspiration of the members
• Ability to lead the discovery of solutions, leveraging the expertise of the team members and peers to look for the optimal path.
• Experience working with the team to distill complex/vague problems into a set of actionable steps.
• The energy and drive to move discussions/projects forward, exhibiting a balanced appetite for risks and the courage to make decisions.
• Good communication and interpersonal skills, being able to collaborate effectively with cross-functional teams.
• Good technical skills appropriate with the level of the role.
• Track record of coaching/mentoring individual contributors, as well as crafting a culture and team valuing diversity and inclusion.
• Familiarity with Agile methodologies and software development practices.

Preferred Requirements

• Experience with globally distributed teams
• Experience with Machine Learning systems at scale
• Experience working in the customer support or service industry.
• Experience with natural language processing (NLP) and speech recognition technologies.

Our stack

• Our codebase is mainly written in Python and Spark; in some cases we also write in Scala, Ruby, and Java.
• Our servers live in AWS.
• Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora.
• Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing.

What we offer

• Ownership of the product features implementation you work on
• What you will be doing will have a huge impact
• Team of passionate people who love what they do!
• Exciting features, ability to implement your own ideas and improvements
• Opportunity to learn and grow!
• Possibility to specialise in areas like security, performance and reliability
• and everything you need to be effective and maintain work-life balance
• Flexible working hours
• Comfortable office and a remote setup
• Internet and Phone bill allowance
• Premium Medical Insurance as well as Private Life Assurance

About Zendesk - Champions Of Customer Service

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. We advocate for digital first customer experiences—and we stick with it in our workplace. Over 5,000 employees worldwide have the flexibility to choose where they work. The fact is, we know great work happens anywhere. Whether you’re collaborating from your home office, a Zendesk workspace, or the kitchen table, you’re part of one team at Zendesk.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to [email protected] with your specific accommodation request.