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Machine Learning Engineer(m/w/x)
Architecting agentic AI systems and optimizing ML workflows for privacy-preserving products. Production-level ML expertise with LLMs in agentic environments required. Work on real-time threat detection, flexible hours.
Requirements
- Degree in Computer Science or related quantitative field
- Production-level ML expertise
- Hands-on experience with LLMs in agentic environments
- Strong software engineering skills
- Statistical rigor
- Experience with adversarial ML or red-teaming ML systems
- Experience working on distributed systems
- Contributions to open-source security/privacy tools
- Knowledge of federated learning, differential privacy, or on-device inference
- Familiarity with graph-based anomaly detection or knowledge graphs
- Technical leadership
- Security mindset
Tasks
- Design and deploy scalable ML systems
- Architect agentic AI systems
- Build tools for model development
- Optimize ML workflows
- Collaborate cross-functionally
- Advance ML for anti-abuse and account security
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LLMs
- adversarial ML
- federated learning
- differential privacy
- on-device inference
- graph-based anomaly detection
- knowledge graphs
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Reasonable adjustments during hiring process
- Real-time threat detection
- Privacy-preserving ML
- Lead initiatives
Purpose-Driven Work
- Work on agentic AI
- Contribute to privacy-first internet
- Work that matters
Informal Culture
- Global team of experts
- Diverse, collaborative, and tight-knit team
Mentorship & Coaching
- Mentor others
- Invest in growth
Learning & Development
- Learn across diverse technology stack
Modern Equipment
- Right hardware and software
Career Advancement
- Accelerate career
Healthcare & Fitness
- Strong health coverage
- Wellness support
Retirement Plans
- Solid retirement options
More Vacation Days
- Generous leave
Competitive Pay
- Stock options
Free or Subsidized Food
- Free lunch and snacks
Public Transport Subsidies
- Public transport coverage
Additional Allowances
- Bike allowance
Parking & Commuter Benefits
- Parking coverage
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Machine Learning Engineer(m/w/x)
Architecting agentic AI systems and optimizing ML workflows for privacy-preserving products. Production-level ML expertise with LLMs in agentic environments required. Work on real-time threat detection, flexible hours.
Requirements
- Degree in Computer Science or related quantitative field
- Production-level ML expertise
- Hands-on experience with LLMs in agentic environments
- Strong software engineering skills
- Statistical rigor
- Experience with adversarial ML or red-teaming ML systems
- Experience working on distributed systems
- Contributions to open-source security/privacy tools
- Knowledge of federated learning, differential privacy, or on-device inference
- Familiarity with graph-based anomaly detection or knowledge graphs
- Technical leadership
- Security mindset
Tasks
- Design and deploy scalable ML systems
- Architect agentic AI systems
- Build tools for model development
- Optimize ML workflows
- Collaborate cross-functionally
- Advance ML for anti-abuse and account security
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LLMs
- adversarial ML
- federated learning
- differential privacy
- on-device inference
- graph-based anomaly detection
- knowledge graphs
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Reasonable adjustments during hiring process
- Real-time threat detection
- Privacy-preserving ML
- Lead initiatives
Purpose-Driven Work
- Work on agentic AI
- Contribute to privacy-first internet
- Work that matters
Informal Culture
- Global team of experts
- Diverse, collaborative, and tight-knit team
Mentorship & Coaching
- Mentor others
- Invest in growth
Learning & Development
- Learn across diverse technology stack
Modern Equipment
- Right hardware and software
Career Advancement
- Accelerate career
Healthcare & Fitness
- Strong health coverage
- Wellness support
Retirement Plans
- Solid retirement options
More Vacation Days
- Generous leave
Competitive Pay
- Stock options
Free or Subsidized Food
- Free lunch and snacks
Public Transport Subsidies
- Public transport coverage
Additional Allowances
- Bike allowance
Parking & Commuter Benefits
- Parking coverage
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Proton
Industry
IT
Description
Proton is a fast-growing tech company providing privacy-focused services like Proton Mail and Proton VPN, emphasizing ethical alternatives to Big Tech.
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