Member of Technical Staff, Machine Learning
Tech Stack / Keywords
Firma i stanowisko
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.
Wymagania
- 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.
Obowiązki
- 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.
Benefity
- Position offered under an employment contract.
- Compensation assessed individually based on professional experience, scope of responsibility, location, and expected impact.
- Compensation package consists of a base salary and equity with flexibility for exceptional candidates.
- Company laptop provided where required for the role.
- Remote-first, globally distributed organization with flexible working hours and no fixed time zone requirement.
Inne informacje
Zgodnie z art. 13 ust. 1-2 Rozporządzenia Parlamentu Europejskiego i Rady (UE) 2016/679 z dnia 27 kwietnia 2016 r. w sprawie ochrony osób fizycznych w związku z przetwarzaniem danych osobowych i w sprawie swobodnego przepływu takich danych oraz uchylenia dyrektywy 95/46/WE (ogólne rozporządzenie o ochronie danych) (dalej 1ERODO2) informujemy, 7Ce: I. 00 00Administratorem Twoich danych osobowych jest sp
Talentica
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