Senior Machine Learning Engineer

Zendesk; Portugal; Presencial; EUR 70 266 - 105 632; Tempo integral

Resumo da oferta

Zendesk is seeking a Senior Machine Learning Engineer to join their AI Copilot organization in Portugal. This role involves owning ML-powered features from inception to production, collaborating with various teams, and enhancing the reliability of ML systems.

The ideal candidate should have over 5 years of software engineering experience, solid Python skills, and familiarity with ML systems in production. The position offers competitive compensation, bonuses, and the opportunity to work in a diverse environment.

Qualificações

• 5+ years of experience in software engineering focused on ML engineering.
• Experience building production ML systems including model serving.
• Ability to work with ambiguity and adapt to changing priorities.

Responsabilidades

• Own and deliver ML-powered product features from data pipelines to production.
• Collaborate with product engineers to integrate ML features into products.
• Improve reliability and cost-efficiency of ML systems.

Conhecimentos

Machine Learning Engineering

Python

MLOps

SQL

Collaboration

Ferramentas

Docker

Kubernetes

AWS

Metaflow

MLflow

Descrição da oferta de emprego

Senior Machine Learning Engineer, Copilot

We are looking for a Senior ML Engineer to join our AI Copilot organisation. AI Copilot is a multi‑million ARR product that integrates AI directly into the tools used by customer service agents and administrators. You will own the delivery of ML‑powered product features at Zendesk scale, taking capabilities from prototype through to production.

Responsibilities

• Own and deliver ML‑powered product features end‑to‑end — from data pipelines and model integration through serving, monitoring, and iteration in production.
• Work closely with scientists to productionise research outputs into reliable, user‑facing features.
• Build and maintain ML infrastructure: model serving, inference pipelines, LLM integrations, and evaluation frameworks.
• Contribute to technical design discussions and architecture decisions within your team, with growing influence across teams.
• Collaborate with product software engineers to ensure ML capabilities are well integrated into the broader product experience.
• Improve the reliability, performance, and cost‑efficiency of the ML systems you work on — proactively identifying and addressing issues.
• Mentor more junior engineers through code review, pairing, and knowledge sharing.

Qualifications

Required

• 5+ years of experience in software engineering with a focus on ML engineering, MLOps, or building ML‑powered products.
• Fluent in Python; working proficiency in Ruby is a plus.
• Solid experience building and operating ML systems in production: model serving, inference pipelines, and monitoring.
• Experience integrating LLMs into production systems — prompt engineering, evaluation, or multi‑provider setups.
• Comfortable with SQL and data infrastructure — work with data pipelines, transformations, and data quality.
• Experience with containerised deployments (Docker, Kubernetes) and cloud infrastructure (AWS).
• A track record of owning features end‑to‑end and delivering them to production with high quality.
• Ability to work with uncertainty and the flexibility to pivot with changing priorities.
• Strong collaboration skills — effectively work with scientists, product engineers, and product managers.

Preferred

• Experience with Snowflake and dbt for data transformations and analytics.
• Hands‑on experience with ML pipeline tooling (e.g., Metaflow) and experiment tracking (e.g., MLflow).
• Experience with model serving frameworks (e.g., BentoML) on Kubernetes.
• Familiarity with ML frameworks such as PyTorch or TensorFlow.
• Experience with event‑driven architectures (e.g., Kafka).
• Experience with iterative, metrics‑driven product development (A/B testing, feature flags, incremental rollouts).

Tech Stack

• Languages: Ruby and Python
• Infrastructure: AWS, Docker, Kubernetes, S3, RDS MySQL, Snowflake (dbt for transformations)
• Pipelines and tools: Metaflow, MLflow, BentoML
• LLM integration via multiple providers through LLM Proxy

Compensation

The Poland annualised base salary range for this position is zł302,000.00‑zł454,000.00. The actual compensation offered will be based on job‑related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives communicated at the offer stage.

Equal Opportunity Employer

Zendesk is an equal‑opportunity employer and is proud of our ongoing efforts to foster global diversity, equity, and inclusion in the workplace. All 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.

We inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with company guidelines and applicable law.

If you have 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 contact [e-mail] with your accommodation request.