Lead Machine Learning Researcher (AI/ML)

Das ist der Job

Strong foundation in ML + LLM methods (e.g., RAG, tool-use/agents) and knowing when not to use LLMs.

Darum lohnt es sich

Stay current with modern AI/ML (LLMs, RAG, agent frameworks, classical ML) and apply the right technique to real product problems. Actively share AI/ML knowledge, experience and new advancements with the Team Work independently, owning problems end-to-end from idea → prototype → evaluation → rollout support.

Proficiency in Python and modern ML frameworks (PyTorch, HuggingFace, etc.). WHAT YOU’LL DO Lead in research, prototype, and help ship AI/ML and agentic systems that improve the Acronis Cyber Protect platform across protection, recovery, management, and user workflows.

Design and implement intelligent automation and assistant-like experiences that help users and MSPs with configuration, troubleshooting, reporting, and “next best action” guidance .

Develop and evaluate models for classification, recommendation, prediction, anomaly detection, and correlation using large-scale endpoint / workload / backup / management telemetry. Design robust datasets, labeling strategies, evaluation metrics, and offline/online experiments to measure impact and reduce false positives / noise.

Partner with product, engineering, data, and domain experts to convert research into production-grade features with clear UX, guardrails, and measurable outcomes. Contribute to scalable data pipelines and MLOps practices for experimentation, deployment, monitoring, and continuous improvement.

Communicate results clearly via internal docs, demos, and presentations for both technical and non-technical stakeholders. WHO WE’RE LOOKING FOR Master’s or PhD in Computer Science, Machine Learning, or equivalent practical experience. 5+ years in applied AI/ML or research engineering delivering ML/LLM capabilities into real products.

Experience with deployment on Azure AI / AWS Sage or Google Vertex AI will be a plus Worked with large, noisy telemetry/event data and possess strong data intuition and debugging skills. Good knowledge on production concerns: reliability, monitoring, evaluation, cost/performance optimization, and safe rollout practices.

Strong communication skills and comfort collaborating across functions (product, engineering, research). Acronis is an equalopportunityemployer.

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances. #J-18808-Ljbffr