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Machine Learning Engineer(m/w/x)
Architecting agentic AI systems with real-time inference for privacy-focused services. Production-level LLM and ML expertise required. Mission-driven work with 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
- Implement real-time inference
- Monitor ML models
- Build automated retraining pipelines
- Architect agentic AI systems
- Develop autonomous threat detection
- Implement adaptive policy enforcement
- Create self-healing security responses
- Build tools for model development
- Develop tools for model debugging
- Create tools for model explainability
- Optimize ML workflows for distributed environments
- Process large-scale data
- Collaborate with security analysts
- Collaborate with backend engineers
- Collaborate with frontend engineers
- Collaborate with customer support
- Advance ML for anti-abuse
- Advance ML for account security
- Explore adversarial robustness techniques
- Explore graph-based anomaly detection
- Explore privacy-preserving AI techniques
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LLMs
- federated learning
- differential privacy
- on-device inference
- graph-based anomaly detection
- knowledge graphs
Benefits
Flexible Working
- Flexible working hours
Career Advancement
- Growth opportunities
- Career acceleration
Mentorship & Coaching
- Mentorship
Diverse Work
- Diverse technology stack
Purpose-Driven Work
- Mission-driven work
- Impactful work
Informal Culture
- Diverse and collaborative team
Modern Equipment
- Provided hardware and software
Learning & Development
- Learning and development
Competitive Pay
- Real ownership
- Stock options
Healthcare & Fitness
- Strong health coverage
- Wellness support
Retirement Plans
- Solid retirement options
More Vacation Days
- Generous leave
Free or Subsidized Food
- Free daily lunch and snacks
Additional Allowances
- Transport allowance
Not a perfect match?
- Lombard OdierFull-timeOn-siteSeniorGenf
- Sonar
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Machine Learning Engineer(m/w/x)
Architecting agentic AI systems with real-time inference for privacy-focused services. Production-level LLM and ML expertise required. Mission-driven work with 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
- Implement real-time inference
- Monitor ML models
- Build automated retraining pipelines
- Architect agentic AI systems
- Develop autonomous threat detection
- Implement adaptive policy enforcement
- Create self-healing security responses
- Build tools for model development
- Develop tools for model debugging
- Create tools for model explainability
- Optimize ML workflows for distributed environments
- Process large-scale data
- Collaborate with security analysts
- Collaborate with backend engineers
- Collaborate with frontend engineers
- Collaborate with customer support
- Advance ML for anti-abuse
- Advance ML for account security
- Explore adversarial robustness techniques
- Explore graph-based anomaly detection
- Explore privacy-preserving AI techniques
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LLMs
- federated learning
- differential privacy
- on-device inference
- graph-based anomaly detection
- knowledge graphs
Benefits
Flexible Working
- Flexible working hours
Career Advancement
- Growth opportunities
- Career acceleration
Mentorship & Coaching
- Mentorship
Diverse Work
- Diverse technology stack
Purpose-Driven Work
- Mission-driven work
- Impactful work
Informal Culture
- Diverse and collaborative team
Modern Equipment
- Provided hardware and software
Learning & Development
- Learning and development
Competitive Pay
- Real ownership
- Stock options
Healthcare & Fitness
- Strong health coverage
- Wellness support
Retirement Plans
- Solid retirement options
More Vacation Days
- Generous leave
Free or Subsidized Food
- Free daily lunch and snacks
Additional Allowances
- Transport allowance
About the Company
Proton
Industry
Telecommunications
Description
Proton is a fast-growing tech company providing privacy-focused services like Proton Mail and Proton VPN, emphasizing ethical alternatives to Big Tech.
Not a perfect match?
- Lombard Odier
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