At Zendesk, we unite to improve customer experience. We are seeking a Machine Learning Engineer to serve as a technical and strategic member of our team, driving the development and deployment of advanced data science and machine learning solutions—with an emphasis on large language models and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure business value is embedded in every technical decision.
What You'll Do
- Design, develop, and deploy advanced ML and AI solutions, with an emphasis on large language models, deep learning architectures, and sophisticated statistical modeling.
- Build scalable, robust data science systems from data ingestion and curation to algorithm development, model deployment, and monitoring, meeting enterprise-grade performance, reliability, and compliance standards.
- Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
- Articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations.
- Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
- Oversee and enhance the integrity, security, and compliance of all data science workflows.
- Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions.
- Foster technical excellence and ensure alignment with business objectives.
What We're Looking For
- 3+ years of experience in Data Science, Machine Learning, or a related field.
- BA/BS in Computer Science, Data Science, or a related discipline.
- Deep expertise in statistical modeling, machine learning, and deep learning, including practical experience with LLMs and transformers.
- Strong programming skills in Python, with Java or Scala also valued.
- Proven ability to build and optimize scalable data science solutions end-to-end, from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD).
- Experience handling and analyzing large datasets, preferably in cloud data warehouses like Snowflake.
- Demonstrated success in translating business needs into analytical solutions that drive quantifiable impact.
- Strong stakeholder engagement skills and a track record of building trusted business partnerships.
- Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences.
- Experience working cross-functionally with engineers, analysts, and product leaders.
- Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment.
Nice to Have
- An advanced degree is highly preferred.
Technical Stack
- Languages: Python, Java, Scala
- Data Tools: dbt, Astronomer, Snowflake
- Cloud & Infrastructure: AWS, Docker, Kubernetes
- ML Focus Areas: LLMs, Transformers
Benefits & Compensation
- Compensation range: $206,000.00-$308,000.00.
- Opportunity to develop and scale LLM and deep learning solutions with real-world business impact.
- An environment that values innovation, ownership, and professional growth.
- The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team.
Work Mode
This role follows a hybrid work mode and is open to candidates in the US.
Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
