Senior Machine Learning Scientist

We are looking for a Senior Machine Learning Scientist to join our growing AI team and help shape the next generation of privacy-preserving artificial intelligence solutions.

In this role, you will work at the intersection of machine learning research, generative AI, and privacy-enhancing technologies to design and develop innovative AI systems that protect sensitive personal and enterprise data by design. You’ll collaborate with multidisciplinary teams to research, prototype, and deliver cutting-edge AI capabilities that can be deployed in real-world environments.

This is an opportunity to work on technically challenging problems, contribute to published research, mentor talented engineers and researchers, and help define the future of responsible AI.

What You’ll Do

• Lead technical research initiatives in machine learning and generative AI, defining experimental approaches and delivering high-quality outcomes.
• Design, develop, and validate machine learning models focused on privacy-preserving AI, including techniques such as differential privacy, federated learning, and secure inference.
• Research and implement novel algorithms or adapt state-of-the-art methods to solve complex AI challenges.
• Translate research into production-ready prototypes, proof-of-concepts, and reusable AI components.
• Collaborate closely with cross-functional teams to understand technical requirements, business objectives, and delivery priorities.
• Mentor machine learning engineers and researchers, providing technical guidance and supporting their professional development.
• Contribute to technical papers, research publications, conference presentations, and knowledge-sharing initiatives.
• Promote best practices in machine learning, software engineering, reproducible research, and responsible AI development.
• Communicate technical concepts, findings, and trade-offs effectively to both technical and non-technical stakeholders.

What We’re Looking For

Required Qualifications

• Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related discipline (or equivalent industry experience).
• 5+ years of experience in machine learning, artificial intelligence, or a related field.
• Demonstrated expertise in applied AI or machine learning, with experience in one or more of the following:
  • Privacy-preserving machine learning
  • Generative AI
  • Large Language Models (LLMs)
  • Federated Learning
• Strong understanding of modern machine learning techniques, their strengths, limitations, and practical applications.
• Excellent Python development skills, including experience with ML frameworks, version control, CI/CD pipelines, and reproducible experimentation.
• Experience preparing, managing, and engineering complex datasets for AI and machine learning applications.
• Experience across the complete machine learning lifecycle, from research and prototyping through evaluation, deployment, and production integration.
• Ability to produce high-quality technical documentation, research publications, or technical reports.
• Experience mentoring or leading junior engineers or researchers.
• Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
• Ability to thrive in fast-paced, collaborative environments with multiple stakeholders.

Nice to Have

• Hands-on experience with privacy-enhancing technologies, including differential privacy, secure computation, federated learning, or membership inference protection.
• Experience developing or evaluating Generative AI systems, LLMs, agentic AI solutions, or frontier AI models.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with MLOps tools and modern ML deployment practices.
• Contributions to open-source AI projects or published research in relevant fields.
• Experience working across industry, academia, or government research collaborations.
• Consulting or client-facing AI delivery experience.
• Experience working within regulated industries such as financial services, insurance, healthcare, or the public sector.
• Familiarity with agentic AI architectures, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, or inference-time privacy techniques.
• Experience using modern AI-assisted development and research tools such as GitHub Copilot, Claude, Claude Code, or similar platforms. Share this job: relocation package performance bonuses competitive compensation packages flexible working hours job rotation learning through Arnia Academy attractive projects trainings international work experience referral program medical benefits