Senior Machine Learning Engineer

Join our team at Zendesk QA (formerly Klaus) to develop cutting-edge AI solutions for customer service! We are seeking forward-thinking experts who are looking to build AI-driven features that reshape Customer Experience teams to achieve their best by intelligently solving repetitive work so they can shift their focus to solving more sophisticated problems. Your expertise can help us change the game in how companies manage and improve their customer service operations. You will be embedded in a multi-functional team, closely collaborating with scientists, engineers and product managers. The ideal candidate will have a proven track record of driving innovation and delivering scalable ML solutions that solve real customer's problems in intelligent ways.

Our quickly expanding, international team has embraced the innovative mindset from day one. We are looking to expand our ML team and seeking candidates for a hybrid role based in Estonia.

Our Stack

• Python
• GCP with plans to move to AWS
• Google AI Platform, Apache Beam, Apache Flink and Airflow
• Pandas, spaCy, TensorFlow, PyTorch, etc.
• LLMs - OpenAI, PaLM2, Llama
• PostgreSQL, MySQL, Google Cloud Spanner, BigQuery, Google Cloud Pub/Sub, REST, microservices
• Google Looker Studio/Grafana, Datadog
• Google Kubernetes Engine, Cloud Run, Github Actions

Responsibilities

• High level of independence and trust, you decide how the implementation is done
• Keeping track of your own tasks and nudge others whenever something looks stuck
• Building and evaluating tooling for data processing and other machine learning needs
• Working together with the data scientists to implement research models and LLM prompting in production and developing solutions for preprocessing of structured and unstructured data in data pipelines
• Developing scalable methodologies for running and monitoring machine-learning models in production
• Integrating LLMs into the data pipeline

Qualifications

• At least 6 years of experience in software development or data engineering and interest in machine learning
• Proven track record as a solid software engineer with a focus on Python-based software development
• Strong understanding of SQL and database technologies
• Comfortable working independently, in English and in a remote setting
• It's a huge plus if you have experience with cloud-native technologies like Apache Beam, Apache Spark, Airflow, Kafka
• It's a huge plus if you have experience with Google Cloud Platform or Amazon Web Service

The intelligent heart of customer experience

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.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Zendesk is an equal opportunity employer, and were 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.