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Machine Learning Platform Engineer

bjakcareerZurich, SwitzerlandActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Mid
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

For engineers with production systems experience who want to build foundational infrastructure, this Machine Learning Platform Engineer position at ActAI in Zurich, Switzerland offers the chance to shape core AI capabilities. The professional in this role will design, operate, and scale the infrastructure and platforms that power proactive applications.

Role Overview

The Machine Learning Platform Engineer focuses on building the underlying systems for the artificial intelligence stack. Located in Zurich, Switzerland, the role spans model training, deployment, inference, and observability.

Key Responsibilities

Construct and maintain machine learning infrastructure and platforms for artificial intelligence products.
Engineer architectures for model training, evaluation, deployment, inference, and experimentation.
Optimize model serving infrastructure for low latency and high throughput.
Enhance reliability, scalability, performance, and cost efficiency across systems.
Create pipelines for data preparation, training, evaluation, and release management.
Provide tooling and platforms to help researchers experiment and ship models rapidly.
Implement benchmarking and evaluation systems to track performance and quality.
Establish production monitoring, tracing, observability, and alerting for workloads.
Collaborate with researchers and product teams to translate model requirements into production infrastructure.

Requirements

Strong software engineering foundations with a background in production systems.
Practical history of constructing machine learning infrastructure or platforms.
Background involving model inference, deployment, evaluation, or data pipelines.
Knowledge of system reliability and distributed architectures.
Capacity to write clean and maintainable production code.
Comfort operating in fast-paced and ambiguous environments.

Skills and Tools

Python
PyTorch
JAX
vLLM
SGLang
TensorRT-LLM
Cloud infrastructure
Distributed systems
Workflow orchestration and data pipelines
GPU infrastructure and performance tools
Vector databases and retrieval infrastructure

About the Company

ActAI aims to create proactive applications for global users who do not rely on complex prompting, targeting email, notes, calendar, and task management. The company focuses on persistent context, long-running workflow reliability, and real-world task completion to minimize hallucinations.

How to Apply

Interested candidates should visit the official company careers page to submit an application for this role.

Skills and tech stack

PythonPyTorchJAXvLLMSGLangTensorRT-LLMCloud infrastructureDistributed systemsVector databasesLLMMachine LearningDistributed Systems

Questions candidates ask

Where is the job located?

The position is located in Zurich, Switzerland.

What primary programming language is required?

Python is included in the technology stack.

What is the mission of ActAI?

The mission is to build proactive applications with minimal prompting for users worldwide, bringing intelligence to workflows, conversations, and organization.

What frameworks and serving tools are part of the tech stack?

The tech stack includes PyTorch, JAX, vLLM, SGLang, and TensorRT-LLM.

How should an applicant apply?

Applicants should apply on the official company careers page.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site