Machine Learning Engineer

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.

The Position

We are looking for a driven and passionate Machine Learning Engineer who will own the data foundation the team runs on: dataset pipelines, labeling workflows, and data quality. Model quality is bottlenecked by data quality; this role removes that bottleneck. We've had a strong presence in Veszprém for over a decade, and we're now expanding into Budapest, this role is based in our newly opening Budapest office, right at the start of that growth.

You Will Have the Opportunity to

• Train and fine-tune models against curated datasets; run systematic hyperparameter and architecture experiments
• Build and maintain evaluation suites: regression tests for model behavior, benchmark tracking across model versions
• Analyze model failures (false positives/negatives) and translate findings into dataset or training improvements
• Package models with documentation, benchmarks, and reproducible evaluation results for Engine team handoff
• Contribute to internal tooling for experiment tracking and model comparison

What We Are Looking For

• 2+ years ML engineering or applied data science experience
• Strong Python; hands-on experience with modern training and fine-tuning workflows
• Experience with structured model evaluation (not just accuracy, precision/recall tradeoffs, drift, edge-case analysis)
• Comfortable working against defined acceptance criteria and production constraints

Why You'll Love Working Here

• Innovative Environment: Join a team at the forefront of cybersecurity innovation. At OPSWAT, you'll have the opportunity to work with cutting-edge technologies and contribute to solutions that shape the future of cybersecurity.
• Collaborative Culture: We foster a culture of collaboration, where every team member's input is valued. You'll have the chance to work alongside talented individuals who are passionate about cybersecurity and dedicated to making a difference.
• Professional Growth: At OPSWAT, we prioritize the growth and development of our team members. You'll have access to ongoing training and development opportunities to enhance your skills and advance your career in cybersecurity.
• Impactful Work: Join a mission-driven company that is committed to securing the digital world. Your work at OPSWAT will have a meaningful impact on organizations worldwide, protecting critical data and assets from evolving cyber threats.
• Fun and Dynamic Atmosphere: We believe in fostering a fun and dynamic work environment. From team-building activities to social events, you'll have plenty of opportunities to connect with your colleagues and enjoy the journey together.

OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.

Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.