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Member of Technical Staff, Machine Learning

bjakcareerSpainActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

The Member of Technical Staff, Machine Learning position at Actai in Spain suits engineers wanting to develop strong systems judgment by shipping and iterating on real-world machine learning. This role involves building core machine learning components for production systems.

Role Overview

The Member of Technical Staff, Machine Learning position is located in Spain and focuses on developing core machine learning components for production systems. The role is designed for professionals seeking to understand how large-scale machine learning operates outside of research settings.

Key Responsibilities

Build and enhance machine learning components across data handling, training, evaluation, and inference.
Fine-tune and adapt models integrated into larger production systems.
Implement testing and evaluation protocols to analyze model behavior.
Construct and maintain data pipelines utilizing real-world and synthetic data.
Troubleshoot model errors, performance bottlenecks, and production incidents.
Release improvements iteratively and incorporate real user feedback.
Collaborate directly with senior machine learning engineers and product teams.
Operate within production constraints including latency, cost, reliability, and safety.

Requirements

Possess strong foundations in machine learning and modern neural architectures.
Bring practical experience in training, fine-tuning, or deploying machine learning models.
Demonstrate the ability to write production-quality code and learn new tools rapidly.
Show curiosity, coachability, and eagerness to learn from production systems.
Navigate ambiguity with guidance while growing ownership over time.
Maintain a bias toward shipping, iteration, and continuous improvement.

Skills and Tools

Python
PyTorch
JAX
Production machine learning systems running on GPUs

About the Company

Actai builds proactive applications designed to bring intelligence to conversations, errands, organization, and workflows with minimal prompting. The organization focuses on long-running workflows, persistent context, and real-world task completion to minimize hallucinations.

How to Apply

Candidates should visit the official company careers page to submit an application.

Skills and tech stack

Questions candidates ask

Where is the job located?

The role is located in Spain.

What skills and tools are required?

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

What is the interview process like?

The process consists of 3 to 4 interviews conducted via virtual meetings and/or onsite, evaluated by technical team members.

What does the company do?

Actai builds proactive applications to bring intelligence to conversations, errands, organization, and workflows with minimal prompting.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site