Ml Engineering Manager

Ml Engineering Manager
Lisboa
Póvoa de Santo Adrião, Lisboa, Portugal

Job Overview

Zendesk's people have one goal in mind: to make Customer Experience better. Our products help more than 125, 000 global brands (Air Bnb, Uber, Jet Brains, 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 intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers. We are looking for an experienced Machine Learning Engineering Manager to lead the ML knowledge team.

Responsibilities

- Lead a team of experienced Machine Learning Engineers and Scientists, offering direction and assistance at every stage of the lifecycle of an ML project.

- Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.

- Lead the recruitment of new team members and facilitate a speedy, engaged interview process.

- Have quality 1:1s with your team members.

- Create a diverse and inclusive working environment where people can thrive.

- Oversee a functional team responsible for the end delivery of machine‐powered features, ensuring adherence to tier engineering practices.

- Ensure that ML models are deployed reliably at scale, with suitable cost and measurable quality.

- Work with partners (Engineering, Product, Architects, and Tech Leads) to align the team's roadmap with company strategy and ship architecturally sound software at a regular cadence.

Qualifications

- Experience managing people across one or more teams, ideally working with large, distributed Internet‐facing systems.

- Proven expertise in managing the delivery of machine learning projects to production.

- Expertise in NLP or Information Retrieval is a big plus.

- Great communication skills, both written and verbal.

- Refined prioritization skills, able to focus time and energy where it will have the most impact.

- A dedication to continual development.

- Collaborative, upbeat work ethic where you can take ownership and have fun.

Technical Stack

- Programming languages: Python, Ruby, Scala, Java.

- Machine learning frameworks: Py
Torch, Tensor
Flow.

- ML pipelines: AWS Batch, EMR.

- Data storage: S3, RDS My
SQL, Redis, Elastic Search, Aurora.

- Infrastructure: AWS, Kubernetes, Docker, Kafka.

Benefits & Perks

- Full ownership of the projects you work on.

- Huge impact opportunities.

- Team of passionate people who love what they do.

- Interesting projects and ability to implement your own ideas and improvements.

- Opportunity to learn and grow.

- Flexible working hours.

- Professional development funds.

- Comfortable office and a remote setup.

- Choice of laptop and other equipment.

- Premium medical insurance and private life assurance.

Work Arrangement

Hybrid: the role must attend our local office part of the week. The specific office schedule is determined by the hiring manager.

EEO & Diversity

Zendesk is an equal‐opportunity employer. We are 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, 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.

Additional Information

For more details about 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.

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