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Member of Technical Staff, Machine Learning

bjakcareerSwedenActAI 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

Sweden is the location for the Member of Technical Staff, Machine Learning position at bjakcareer, which suits engineers eager to develop systems judgment by shipping, debugging, and iterating on real-world machine learning. The professional in this role will build core machine learning components and engage with production systems from the start.

Role Overview

The Member of Technical Staff, Machine Learning position involves developing core machine learning components and learning how large-scale systems operate outside of research environments. The professional works on data, training, evaluation, and inference while balancing production constraints such as latency, cost, reliability, and safety.

Key Responsibilities

Build and improve machine learning components across data, training, evaluation, and inference.
Fine-tune and adapt models as part of larger production systems.
Implement evaluation and testing to understand model behavior.
Build and maintain data pipelines for real-world and synthetic data.
Debug model issues, performance problems, and production incidents.
Ship improvements iteratively and learn from user feedback.
Collaborate with senior machine learning engineers and product teams.

Requirements

Strong foundations in machine learning and modern neural architectures.
Hands-on experience training, fine-tuning, or deploying machine learning models.
Ability to write production-quality code and learn new tools quickly.
Curiosity, coachability, and eagerness to learn from production systems.
Ability to handle ambiguity with guidance and grow ownership over time.
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 to bring intelligence to conversations, errands, organising, and workflows with minimal prompting. The organization focuses on high reliability for long-running workflows, persistent context, and real-world task completion to reduce hallucinations and organize everyday life.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the job located?

The position is located in Sweden.

What technologies will I work with?

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

What is the interview process like?

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

What does the company build?

The company builds proactive applications aimed at bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site