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Member of Technical Staff, Machine Learning

bjakcareerZurich, SwitzerlandActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
28 Sept 2026
Status
Open · checked 8d ago

About this role

Based in Zurich, Switzerland, the Member of Technical Staff, Machine Learning position involves developing core machine learning components for production systems. This role suits engineers looking to build practical systems judgment through hands-on deployment, debugging, and iterative model development.

Role Overview

ACTAI is seeking a Member of Technical Staff, Machine Learning to join the team in Zurich. The organization focuses on creating proactive, AI-native consumer applications designed for everyday tasks without complex prompting.

Key Responsibilities

Construct and enhance machine learning elements covering data, training, evaluation, and inference.
Adapt and fine-tune models within broader production architectures.
Design evaluation protocols to measure and analyze model behavior.
Develop and support data pipelines utilizing both real and synthetic data.
Troubleshoot model performance bottlenecks, errors, and production incidents.
Release updates incrementally and incorporate real user feedback.
Collaborate alongside senior machine learning engineers and product specialists.
Operate within production boundaries including latency, safety, cost, and reliability.

Requirements

Possess solid fundamentals in machine learning and contemporary neural architectures.
Bring practical background in training, fine-tuning, or deploying machine learning models.
Demonstrate proficiency in producing quality code and rapidly adopting new tools.
Show curiosity, coachability, and willingness to learn from active production systems.
Navigate ambiguity with direction and gradually increase personal ownership.
Maintain a preference for shipping, rapid iteration, and steady progress.

Skills and Tools

Python
PyTorch
JAX
Production machine learning systems operating on GPUs

About the Company

ACTAI develops AI-native applications intended to simplify everyday tasks such as communication, organization, and workflows with minimal prompting. The company prioritizes reliability for long-running workflows, persistent context, and real-world task execution to reduce hallucinations. Operating as a small, high-talent team in Zurich, ACTAI emphasizes collective decision-making and rapid execution.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PythonPyTorchJAXGPUsMachine LearningFine-tuning

Questions candidates ask

Where is the job located?

The position is located in Zurich, Switzerland.

What technologies are used in the tech stack?

The tech stack includes Python, PyTorch, JAX, and production machine learning systems running on GPUs.

What is the focus of the machine learning work?

The focus involves building ML components, fine-tuning models, implementing evaluations, maintaining data pipelines, debugging production issues, and shipping improvements under production constraints.

What does the interview process look like?

The interview process consists of three to four total interviews evaluated by technical team members, conducted via virtual meetings and/or onsite.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site