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Machine Learning Engineer at ACAISOFT Polska Sp. z o.o.

Stanowisko Machine Learning Engineer
Opublikowano 18 Jan 2026
Wygasło 17 Feb 2026
Firma ACAISOFT Polska Sp. z o.o.
Lokalizacja Mazowieckie | PL
Rodzaj umowy Full Time

Opis stanowiska:

Najnowsze informacje o pracy w ACAISOFT Polska Sp. z o.o. na stanowisko Machine Learning Engineer. If the Machine Learning Engineer wolny etat w Mazowieckie odpowiada Twoim kwalifikacjom, prześlij swoje aktualne CV bezpośrednio przez portal Jobkos.

Pamiętaj, że proces rekrutacji wymaga spełnienia określonych wymogów firmy. Mamy nadzieję, że oferta pracy w ACAISOFT Polska Sp. z o.o. na stanowisko Machine Learning Engineer poniżej odpowiada Twoim kwalifikacjom.

Machine Learning EngineerMiejsce pracy: WarszawaTechnologies we useExpected
  • Python
  • AI
  • Reinforcement Learning
About the project

You will be cooperating with a leading provider of AI evaluation and optimization solutions, trusted by multinational companies to optimize AI agents and detect performance issues in large language models.

In this role, you’ll help develop advanced reinforcement learning (RL) environments and scalable evaluation systems that guide and shape the behavior of cutting-edge AI models. The Firma’s mission is to enable safe, verifiable, and aligned AGI through rigorous, real-world agent evaluation.

Due to the client’s time zone, we would appreciate a candidate who can work until 5:00 p.m., or occasionally until 6:00 p.m. If you prefer working slightly later hours, that’s perfectly okay with the client - but it’s not a requirement.

This is a 100% remote Stanowisko, but if you enjoy working from an office, you’re warmly welcome to join us there too

Your responsibilities
  • Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments.
  • Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity and stochasticity.
  • Develop verifiers and reward models to automatically score trajectories and evaluate model reasoning.
  • Collaborate with infrastructure and systems engineers to ensure environments are scalable, reproducible, and instrumented for detailed telemetry.
  • Design APIs and orchestration frameworks for running, resetting, and evaluating agents across environments.
  • Optimize environment performance, logging, and reward reproducibility across distributed setups.
Our requirements
  • 5+ years of experience in software engineering, simulation systems, data science, or ML infrastructure.
  • Strong command of Python and systems-level programming.
  • Experience designing scalable task pipelines, browser or API simulations (e.g. Playwright, Selenium), or distributed compute frameworks.
  • Understanding of RL concepts - reward modeling, environment dynamics, verifiability, evaluation, and agent interaction loops.
  • Familiarity with instrumentation, metrics, and data pipelines for RL evaluation.
  • Curiosity and conviction around building environments that steer AGI.
Optional
  • A focus on AI/ML solutions.
  • A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.
This is how we organize our workThis is how we work
  • at the client's site
  • you focus on a single project at a time
  • you can change the project
  • you focus on product development
  • agile
Development opportunities we offer
  • industry-specific e-learning platforms
  • space for experimenting
  • substantive support from technological leaders
  • time for development of your ideas
What we offer
  • Great atmosphere - we value a friendly, informal atmosphere, and direct contact with everyone in the Firma.
  • Outstanding People - we understand that great teams are about personalities, not just skills. Therefore our team accommodates a fantastic blend of individuals and management that removes roadblocks.
  • Modern technologies - we use proven technologies that are currently up-to-date. Even if you have not used all of them, you can make up for it with us!
  • Unlimited possibilities - you’ll get the opportunity to develop your qualifications thanks to sponsorship for industry meetups and conferences and working on challenging international projects with the latest technologies.
  • Private medical care and Multisport - we care about your health and wellbeing so you’ll get access to private medical care for you and your family, and partial funding for a sports card.
Benefits
  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of professional training & courses
  • remote work opportunities
  • flexible working time
  • integration events
  • corporate sports team
  • no dress code
  • video games at work
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone
  • extra social benefits
  • baby layette
  • school layette
  • employee referral program
  • charity initiatives
  • Firma sports team
  • Gift vouchers for kids (birthdays, Christmas, Child's Day)
Recruitment stages
  • HR call
  • Tech check with our team
  • Meeting with our client
ACAISOFT Polska Sp. z o.o.

At Acaisoft we specialize in cloud-native application development and transformations from legacy to cloud-native environments.

We provide end-to-end software solutions, from business analysis, through project evaluation, to UI/UX, Frontend, and Backend design and implementation. We integrate manual and automated QA finest practices, to make sure that the final product is top-notch.

Our customers range from startups to large enterprises based in the US, mainly Silicon Valley, and Western Europe.

Since technology is constantly being developed at such a fast pace, we always strive to be one step ahead of the market and keep up with the latest solutions.

Wszystkie informacje o przetwarzaniu danych osobowych w tej rekrutacji znajdziesz w formularzu aplikacyjnym, po kliknięciu w przycisk "Aplikuj Teraz".

Szczegóły oferty:

  • Firma: ACAISOFT Polska Sp. z o.o.
  • Stanowisko: Machine Learning Engineer
  • Miejsce pracy: Mazowieckie
  • Kraj: PL

Jak złożyć aplikację:

Po zapoznaniu się z kryteriami i wymaganiami opisanymi w informacjach o pracy Machine Learning Engineer at the office Mazowieckie powyżej, niezwłocznie przygotuj dokumenty aplikacyjne, takie jak list motywacyjny, CV, kopię dyplomu oraz inne załączniki. Wyślij aplikację, klikając 'Następna strona' poniżej.

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