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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on an AI-native assistant enhancing communication and task management using Machine Learning. Key technologies include Python, PyTorch, JAX and GPU-based production ML systems. Responsibilities cover building and improving ML components, fine-tuning models, developing data pipelines, and diagnosing production issues. The role requires working with real ML systems, iterative improvements, and collaboration with engineering and product teams.
from: 21 August 2026
to: 20 September 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:mid • senior
working mode:remote
Warszawa, Śródmieście
Requirements
Expected technologies
Python
PyTorch
Operating system
Windows
Our requirements
- Strong foundations in Machine Learning and modern neural network architectures.
- Some hands-on experience training, fine-tuning or deploying Machine Learning models.
- Ability to write production-quality code and learn new tools quickly.
- Curiosity, openness to feedback and a strong willingness to learn from production systems.
- Ability to work through ambiguity with guidance and gradually take ownership of increasingly complex problems.
- A delivery-oriented mindset focused on shipping, measuring, iterating and continuously improving systems.
Your 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 methods to understand and measure model behavior.
- Help build and maintain pipelines for real-world and synthetic data.
- Diagnose model failures, performance problems and production incidents.
- Deliver improvements iteratively and learn from real user feedback.
- Work closely with senior Machine Learning engineers, product teams and other technical specialists.
- Operate under real production constraints, including latency, cost, reliability and safety.
About the project
About the product:
Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input.
The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users.
About the role:
As a Member of Technical Staff specializing in Machine Learning, you will build and improve core ML components used in a production AI product.
You will work with real production systems from the beginning, developing an understanding of how large-scale Machine Learning operates outside controlled research environments.
This position is intended for an engineer who wants to strengthen their systems judgment by shipping, debugging and continuously improving real-world ML solutions.
What success looks like?
Technology stack:
Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work.
Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary.
The company aims to make decisions efficiently and provide candidates with a prompt outcome.
1. COMPENSATION AND EMPLOYEMENT
The position is offered under an employment contract.
Compensation is determined individually based on:
The compensation package consists of a base salary and equity. The company remains flexible when considering exceptional candidates.
A company laptop will be provided where required for the role.
2. REMOTE WORK AND GLOBAL COLLABORATION
The company operates as a remote-first, globally distributed organization.
There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively.
The successful candidate will work from Poland and collaborate with engineering, Machine Learning and product specialists located across different regions.
Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process.
3. HOW THE TEAM WORKS?
The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, exercise sound judgment and execute independently.
The team moves quickly while balancing product quality, experimentation and learning from real user behavior.
There is no fixed hiring quota for this position. The company is focused on hiring people who meet its technical and ownership standards rather than filling a predetermined number of seats.
Recruitment stages
- 1.Technical assessment, relevant to the candidate’s background
- 2.HR interview
- 3.One or more technical interviews
- 4.Founder or leadership interview
This is how we work
Member of Technical Staff — Machine Learning
I apply to:
Talentica
Warszawa, Śródmieście
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.