Machine Learning Engineer
Machine Learning Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 100000 - 135000
1 Vacancy
Job Description
We are seeking a skilled and innovative Machine Learning Engineer to join our cybersecurity team. As a midsenior level engineer you will work closely with data scientists cybersecurity analysts and software developers to design develop and deploy machine learning models that assess and mitigate risk across complex cloud environments. Your focus will include building probabilistic and statistical models to identify potential security threats and quantify risk empowering our clients to make informed decisions on their cloud security posture.
Key Responsibilities
- Risk Modeling and Explainability: Develop probabilistic models and statistical frameworks to assess security risk in cloud environments integrating data from network logs user behaviors and threat intelligence to provide actionable risk assessments.1
- Model Development: Design train and evaluate machine learning models for threat detection anomaly detection and other cybersecurity applications particularly within cloudbased infrastructure.
- Data Pipeline Engineering: Collaborate with data engineers to develop and optimize data pipelines that process clean and transform raw cybersecurity data into formats suitable for machine learning.
- Deployment and Optimization: Implement machine learning models in production environments focusing on model optimization for high performance and scalability especially in cloudbased or hybrid environments.
- Research and Prototyping: Stay current on the latest ML techniques and tools; prototype and experiment with new algorithms to continuously enhance our capabilities.
- Threat Analysis Collaboration: Work alongside threat analysts to incorporate domain expertise into model features ensuring model relevance to realworld cyber threat scenarios.
- Automation and Monitoring: Develop automated tools for model training evaluation and monitoring to streamline processes and maintain model performance over time.
- Code Review and Mentorship: Participate in code reviews provide feedback and mentor junior engineers to foster best practices in the team.
Required Skills and Qualifications
- Education: Bachelors or Masters degree in Computer Science Data Science Machine Learning or other quantitative fields. PhD is a plus.
- Experience: 4 years of experience in machine learning data science or a related field with at least 2 years in cybersecurity or cloudbased environments.
- Technical Skills:
- Proficiency in Python including common ML libraries such as PyTorch TensorFlow and ScikitLearn.
- Experience with probabilistic and statistical modeling for risk assessment anomaly detection and classification algorithms.
- Strong understanding of data preprocessing feature engineering and data pipeline design.
- Knowledge of cloud computing platforms (AWS Azure GCP) and familiarity with securing and monitoring cloud infrastructure.
- Familiarity with containerization (Docker Kubernetes) and deploying ML models in production.
- Experience with big data processing platforms and frameworks (Snowflake Spark) is a plus.
- Domain Knowledge: Solid understanding of cybersecurity principles including network security malware analysis incident response and risk assessment in cloud environments.
- Analytical Skills: Ability to analyze large complex datasets and develop actionable insights and recommendations particularly within a cloud context.
- Problem Solving: Strong problemsolving skills with the ability to handle ambiguity and propose innovative solutions to complex cybersecurity challenges.
- Communication: Excellent written and verbal communication skills; able to explain technical concepts to nontechnical stakeholders.
Preferred Skills
- Experience with realtime data processing or streaming data.
- Familiarity with cybersecurity standards protocols and compliance requirements.
- Prior experience working in crossfunctional teams within a fastpaced environment.
- Knowledge of adversarial machine learning and techniques to make models robust to adversarial attacks is a plus.
This job opening is available to candidates in both the US and Canada.
**
For US:
The US base salary range for this fulltime position is $160000$190000. Fortinet offers employees a variety of benefits including medical dental vision life and disability insurance 401(k) 11 paid holidays vacation time and sick time as well as a comprehensive leave program.
Wage ranges are based on various factors including the labor market job type and job level. Exact salary offers will be determined by factors such as the candidates subject knowledge skill level qualifications experience and geographic location.
All roles are eligible to participate in the Fortinet equity program Bonus eligibility is reviewed at time of hire and annually at the Companys discretion.
**
For Canada:
The Canada base salary range for this fulltime position is expected to be between $100000$135000 annually. Wage ranges are based on various factors including the labour market job type and job level. Exact salary offers will be determined by factors such as the candidates subject knowledge skill level qualifications and experience.
Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of 100 company paid medical dental and vision coverage including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling legal advice mental health resources etc. We also provide critical illness disability and life insurance as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We offer competitive Paid Time Off and flexible leave policies including paid health days to help you take care of yourself and your family members.
All roles are eligible to participate in the Fortinet equity program Bonus eligibility is reviewed at time of hire and annually at the Companys discretion.
**
Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial wellbeing. Embark on a challenging enjoyable and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660000 customers around the globe.
Employment Type
Full-Time
