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Offer summary
(Summary generated by AI based on the full job description)
The project involves an AI-native assistant designed to support communication and manage long-running workflows, requiring management of extended processes and integration with external tools. The tech stack includes Python, PyTorch, JAX, GPU-based training. Responsibilities cover building and maintaining production ML systems, troubleshooting, iterative model improvement and mentoring team members.
from: 21 August 2026
to: 20 September 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:senior
working mode:remote
Warszawa, Śródmieście
Requirements
Expected technologies
Python
PyTorch
Operating system
Windows
Our requirements
- Proven experience building and shipping Machine Learning systems used by real users.
- Strong understanding of how modern Machine Learning models behave—and fail—in production environments.
- Ability to write high-quality production code and think in complete systems rather than isolated scripts.
- Strong ownership and the ability to work independently from an ambiguous problem through production delivery.
- Experience working across data, model training, evaluation and inference.
- Ability to communicate clearly, learn quickly and improve systems through continuous iteration.
- Sound technical judgment when balancing model quality, latency, cost, reliability and safety.
- Ability to mentor peers and raise the technical standard of a Machine Learning team.
Your responsibilities
- Build core Machine Learning systems powering a proactive, long-horizon AI product.
- Own work end-to-end across data preparation, training, evaluation, inference and continuous iteration.
- Transform research concepts into reliable systems operating in production.
- Diagnose model failures and system-level issues using real production signals.
- Work iteratively: ship solutions, measure outcomes, refine them and repeat.
- Collaborate closely with research, product and engineering teams to deliver measurable user impact.
- Mentor other Machine Learning engineers and review their work through technical judgment and practical example.
- 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 Senior Machine Learning Engineer operating at Senior Member of Technical Staff level, you will independently own critical ML subsystems running in production.
You will take ambiguous technical problems, design practical solutions and deliver systems that operate reliably at scale.
This is a hands-on, high-impact individual contributor role focused on technical depth, production ownership and measurable product outcomes.
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
Senior Machine Learning Engineer
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.