Machine Learning Operations Engineer, Proton
Encrypted email, drive, and VPN services
Be an early applicant
Encrypted email, drive, and VPN services
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To fight for a better internet that is secure and private by default.
Role
Who you are
- We are looking for humble, mission-driven engineers who enjoy learning, improving systems, and making a real-world impact
- This role is ideal for someone early in their career who wants to build strong foundations in infrastructure, automation, and production ML systems. You will work closely with experienced engineers to deploy, monitor, and maintain critical services that run 24/7 and protect millions of Proton users
- Experience with Linux system fundamentals (command line, systemd, troubleshooting)
- Proficiency in scripting languages (Bash and Python)
- Familiarity with Docker and containerization concepts
- Basic understanding of CI/CD pipelines and automated deployments
- Basic familiarity with databases such as MySQL or similar systems
- Experience with Git and collaborative development workflows
- Strong problem-solving mindset and ability to work and learn in a fast-paced global team
- Willingness to participate in on-call rotations after initial ramp-up
- Strong communication skills in English (written and verbal)
- Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply
Desirable
- Hands-on experience with Ansible, Puppet, or similar configuration management tools
- Familiarity with data processing and workflow orchestration tools (Airflow, Dask)
- Experience deploying services to production environments (personal projects count)
- Exposure to monitoring and observability tools (Prometheus, Grafana, ELK)
- Basic understanding of machine learning workflows or data pipelines
- Familiarity with Terraform, Kubernetes, or cloud infrastructure platforms
What the job involves
- We are looking for a MLOps / Infrastructure Engineer to join the MSA (Mail Security & Anti-abuse) team and support the operation and evolution of our machine learning anti-abuse systems
- MSA is a multidisciplinary group created in 2019 to tackle complex problems in mail delivery, spam prevention, abuse detection, and account security across the Proton ecosystem
- Our systems combine human expertise and machine learning to make tens of millions of decisions daily, protecting users from spam, fraud, account compromise, and large-scale attacks
- Today, our focus areas include:
- Mail delivery and spam protection
- Abuse detection and account security
- Site reliability across Proton services
- New products such as Wallet and Lumo
- As an MLOps / Infrastructure Engineer, you will contribute to the reliable operation and continuous improvement of systems protecting millions of Proton users
- Assist in maintaining the operational stability of machine learning and anti-abuse systems running 24/7
- Support deployment and maintenance of services and infrastructure under guidance from senior engineers
- Help implement and improve logging, monitoring, and alerting for production systems
- Participate in debugging and resolving production incidents with team support
- Contribute to CI/CD pipelines and deployment automation workflows
- Assist in deploying and maintaining containerized services using Docker and related tools
- Support infrastructure automation efforts through scripting and configuration management
- Document operational procedures and deployment processes
- Gradually take ownership of infrastructure components and improvements as experience grows
Our take
Proton is a Geneva-based startup founded by former CERN worker and internet privacy advocate Andy Yen. It provides internet users with encrypted webmail, calendar, drive, and VPN services.
Proton maintains its pro-privacy ethos using a Swiss VPN, protected by strict Swiss privacy laws. In essence, it has established a connection between the personal and the political, smartly utilising the country’s national laws to benefit people and organisations globally. Proton also funds charities and movements such as the World Wide Web Foundation and Netblocks, further cementing it as an influential NGO.
Perhaps Proton’s most important quality is its determination to maintain independence from advertisers and companies. Originally founded on donations, Proton has funded itself via grants rather than venture capital so that all of its customer's data is never at risk of being mined. One effect of this is that to keep up with the increasing competition in the data privacy sector, Proton has expanded its services to allow more cross-selling and simultaneously has more products to offer, such as drive and calendar privacy.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Company benefits
- These vary by location and type of contract but expect support on your vacation, parental leave, refreshment if working from the office, learning and development opportunities, equity for shared success, flexible working hours and remote work, company events, and team-building activities.
Company HQ
Plan-les-Ouates, GE
Leadership
Andy Yen
(Founder & CEO)Previously PhD Researcher at CERN
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