Senior Machine Learning Researcher (AI/ML) at Acronis · Trevo

Job description

About the role

Acronis is a global leader in cyber protection, delivering natively integrated solutions that monitor, control, and protect the data that businesses and lives depend on. Driven by our passion to protect every workload, we’ve built the industry’s only all-in-one cyber protection platform. We are looking for a Lead Machine Learning Researcher to join us in protecting the digital world. We are looking for a proactive Lead Machine Learning Researcher to drive innovation in Acronis Cyber Protect products, focusing on modern Agentic AI and intelligent automation. The ideal candidate combines strong research and implementation skills with an understanding of cybersecurity challenges and the ability to work independently in a fast-paced, globally distributed environment. A Swiss company founded in Singapore in 2003, Acronis offers over twenty years of innovation with 15 offices worldwide and more than 1800 employees in 50+ countries. Acronis Cyber Protect is available in 26 languages in 150 countries and is used by over 20,000 service providers to protect over 750,000 businesses. Our corporate culture centers on innovation, accountability, and impact. We encourage our people to think boldly, challenge conventional approaches, and take ownership of outcomes. As a member of our global “A-Team,” you’ll operate in a high-growth, fast-paced environment where resilience, adaptability, and a commitment to continuous improvement drive success. OUR INTERVIEW PRACTICES To ensure a fair and genuine hiring process, candidates are expected to participate in interviews without the use of AI tools, automated prompts, or third-party assistance. Interviews are designed to assess individual skills, experience, and communication style and we value authentic, real-time interaction. Use of AI or external assistance during live interviews may result in disqualification. For roles where AI skills are being evaluated, permitted use of AI tools will be clearly communicated in advance. Candidates may be asked to disable virtual backgrounds or participate in in-person interviews. All employment offers are contingent upon successful completion of applicable criminal, education and identity background checks Acronis is an equal opportunity employer. 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.

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.
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.
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.
Strong foundation in ML + LLM methods (e.g., RAG, tool-use/agents) and knowing when not to use LLMs.
Proficiency in Python and modern ML frameworks (PyTorch, HuggingFace, etc.).
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).

What you'll do

Tech stack