About the Position

We are seeking 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.

Responsibilities

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.

Requirements

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, or similar platforms.

We Offer

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

About the Company

At Arnia, we are a diverse and passionate team of software development engineers, quality assurance engineers, business analysts, system administrators, and managers, united by our shared dedication to creating high-quality software solutions and delivering exceptional services to our valued customers and partners.

We believe in customer satisfaction as being the single most important goal we want to achieve in everything we do. But we also believe that we can reach this goal while having fun at work, making friends, and enjoying working together. We have game evenings, nights out, and team building events to help us know each other better and spend quality time together. Also, we have a flat organization, with no unnecessary hierarchies and where you reach the management easily.

In Arnia you will meet very skilled software engineers with rich academic backgrounds, with passion for innovation and continuous education, self-driven and oriented toward results. At the same time, they are people with a high sense of humor, fun, and informal, that value friendship, trust, and a nice working environment.

Excellence is achieved step by step, it is a journey we always take together as a team and as a modern organization.

We recognize the value of each individual, we value diversity and we support your development career – your success is our success! We take pride in helping our people to develop their career, continuously improving their skills and their technical knowledge and to fully reach their own development goals.

People are different, they are coming from various cultures and are motivated by different things:

The financial interests
The career development plan
The technologies and the projects
The work-life balance
The opportunities to travel abroad

Why Arnia?

We recognize people’s diversity and we try to meet everyone’s goals.

Game Evenings
Nights Out
Team Buildings
Trainings

Arnia encourages you to pursue your own interests, projects, and ideas – passion can turn small things into big things – we want to be part of your own individual success. Let us know your ideas and your personal interests and we will find a way to support you.

Relocation Package

Competitive Compensation Packages

Flexible Working Hours

Job Rotation

Performance Bonuses

Medical Benefits

Not the least, we have class A offices, located in Piata Victoriei – Europa House building, next to the metro stations and to other transportation means. It is very easy to get to work and you will enjoy the quality and the lifestyle of our offices.

Attractive Projects

International Work Experience

Referral Program

Learning Through Arnia Academy

And if you like all these, why don’t you join us?

Recruitment Process

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We are sorry to inform you that we do not have any internships available at the moment.

Please check back later for updates on our future opportunities.

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Arnia Software has consolidated its position as a preferred IT outsourcing company in Romania and Eastern Europe, due to its excellent timely delivery and amazing development team.

Our services include:

Nearshore with Arnia Software

Software Development Outsourcing

Offshore Software Development

Engagement Models

Bespoke Software Development

Staff Augmentation

Digital Transformation

Mobile App Development

Banking Software Solutions

Quality Assurance

Project Management

Open Source

Nearshore Development Centre

Offshore Development Centre

Senior Machine Learning Scientist

Job description