Security ML Engineer - Tech Leader
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Lieu :Offsite, Glasgow, United Kingdom
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Autre EmplacementParis, France; Madrid, Spain; Barcelona, Spain; Valencia, Spain;
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Centre d'intérêtIngénieur - logiciels
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Type de posteExpérimenté
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Intérêt pour la technologieIntelligence Artificielle
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ID de poste1433251
Who we are:
The Cisco Talos Security Intelligence and Research Group is at the forefront of detecting and correlating threats in real-time, using the world’s largest threat detection network. We collaborate extensively across Cisco's security ecosystem, driving innovation in threat detection technologies to safeguard the Internet from known and emerging cybersecurity threats.
Who you are:
We are seeking a Machine Learning Engineer to join our growing team. If you have a passion for stopping bad actors and excel in working with machine-learning models and data analytics over large datasets, this is your place.
You are willing to learn new skills, eager to stay up to date, and to work with other domain experts outside of your comfort zone. You enjoy working in a collaborative environment as a member of a multi-disciplinary team, providing domain expertise when needed, sharing ideas and knowledge.
What you’ll do
- Proactively analyze potential detection gaps, propose projects and ideas, and define and implement a plan to make them real.
- Analyze large datasets to extract complex data patterns.
- Monitor changes in the threat landscape via automation and visualization techniques and develop models to identify new threats.
- You will have the opportunity to build or enhance machine-learning pipelines to support Cisco's security products and tools, covering from model selection and training, to optimization, deployment, and monitoring.
- You will be in contact with many different products and domains across Cisco's security product portfolio including malware detection, web and email classification.
- Keep yourself abreast of the latest research in security and machine learning and regularly present new techniques to the rest of the team.
- Publish internal and external reports, papers and blog posts detailing your research findings.
Minimum requirements:
- Background in cybersecurity, with a strong emphasis on threat detection.
- Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills.
Preferred requirements:
- Undergraduate or postgraduate in Computer Science or a related field.
- Experienced with cloud based data processing platforms such as AWS, and/or Databricks.
- You have firm software development skills with Python/PySpark, Terraform, Git, CI/CD, Docker.
- Comfortable with relational and NoSQL databases/datastores such as Elasticsearch.
- Familiar with the threat landscape and threat intelligence concepts.
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
Who we are:
The Cisco Talos Security Intelligence and Research Group is at the forefront of detecting and correlating threats in real-time, using the world’s largest threat detection network. We collaborate extensively across Cisco's security ecosystem, driving innovation in threat detection technologies to safeguard the Internet from known and emerging cybersecurity threats.
Who you are:
We are seeking a Machine Learning Engineer to join our growing team. If you have a passion for stopping bad actors and excel in working with machine-learning models and data analytics over large datasets, this is your place.
You are willing to learn new skills, eager to stay up to date, and to work with other domain experts outside of your comfort zone. You enjoy working in a collaborative environment as a member of a multi-disciplinary team, providing domain expertise when needed, sharing ideas and knowledge.
What you’ll do
- Proactively analyze potential detection gaps, propose projects and ideas, and define and implement a plan to make them real.
- Analyze large datasets to extract complex data patterns.
- Monitor changes in the threat landscape via automation and visualization techniques and develop models to identify new threats.
- You will have the opportunity to build or enhance machine-learning pipelines to support Cisco's security products and tools, covering from model selection and training, to optimization, deployment, and monitoring.
- You will be in contact with many different products and domains across Cisco's security product portfolio including malware detection, web and email classification.
- Keep yourself abreast of the latest research in security and machine learning and regularly present new techniques to the rest of the team.
- Publish internal and external reports, papers and blog posts detailing your research findings.
Minimum requirements:
- Background in cybersecurity, with a strong emphasis on threat detection.
- Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills.
Preferred requirements:
- Undergraduate or postgraduate in Computer Science or a related field.
- Experienced with cloud based data processing platforms such as AWS, and/or Databricks.
- You have firm software development skills with Python/PySpark, Terraform, Git, CI/CD, Docker.
- Comfortable with relational and NoSQL databases/datastores such as Elasticsearch.
- Familiar with the threat landscape and threat intelligence concepts.
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
Lorsqu’elle est disponible, la fourchette salariale affichée pour ce poste reflète l’échelle d’embauche prévue pour les salaires des nouveaux embauchés aux États-Unis et au Canada. Pour les postes non liés à la vente, les fourchettes d’embauche reflètent uniquement le salaire de base; les employés sont également admissibles à des primes annuelles. Les fourchettes d’embauche pour les postes de vente comprennent la rémunération de base et la rémunération incitative. La rémunération individuelle est déterminée par le lieu d’embauche du candidat et par d’autres facteurs, incluant, sans s’y limiter, les compétences, l’expérience et les études, certifications ou formations pertinentes. Les candidats pourraient ne pas être admissibles à la fourchette salariale complète selon leur lieu d’embauche aux États-Unis ou au Canada. Le recruteur peut fournir plus d’informations sur la rémunération du poste dans votre lieu au cours du processus de recrutement.
Les employés américains ont accès à une assurance médicale, dentaire et visuelle de qualité, à un régime 401(k) avec une contribution équivalente de Cisco, à une couverture d’invalidité à court et à long terme, à une assurance vie de base et à de nombreuses prestations de bien-être.
Les employés reçoivent jusqu’à douze jours fériés payés par année civile, ce qui comprend un jour férié flottant (pour les employés non exemptés), plus un jour de congé pour leur anniversaire. Les nouveaux employés non exemptés accumulent jusqu’à 16 jours de congés annuels, à raison de 4,92 heures par période de paie. Les nouveaux employés exemptés participent à la politique de congés annuels flexibles de Cisco qui ne fixe pas de limite précise quant au nombre de jours de congé pouvant être pris par les employés admissibles. Cependant, cette flexibilité dépend de la disponibilité et de certaines contraintes opérationnelles. Tous les nouveaux employés sont admissibles aux congés de maladie, sous réserve de la Politique relative aux congés de maladie de Cisco. Ils auront droit à quatre-vingts (80) heures de congés de maladie à leur date d’embauche et le 1er janvier de chaque année par la suite. Jusqu’à 80 heures de congés de maladie non utilisées seront reportées d’une année civile à l’autre, de sorte que le nombre maximal d’heures de congé de maladie dont un employé peut disposer est de 160 heures. Les employés de l’Illinois bénéficient d’un programme spécifique de congés spécialement conçu pour répondre aux exigences locales. Tous les employés disposent également de congés payés pour faire face à des situations critiques ou d'urgence. Nous offrons des heures supplémentaires rémunérées pour faire du bénévolat et rendre service à la communauté.
Les employés participant à des plans de vente reçoivent, en plus de leur salaire de base, une rémunération incitative fondée sur les performances, qui est répartie entre les composantes sur quota et non. Pour la rémunération incitative basée sur des quotas, Cisco paie généralement comme suit :
0,75 % de l'incitatif cible pour chaque tranche de 1 % du chiffre d’affaires atteint jusqu’à concurrence de 50 % du quota;
1,5 % de l'incitatif cible pour chaque tranche de 1 % du chiffre d'affaires atteint entre 50 % et 75 %;
1 % de l'incitatif cible pour chaque tranche de 1 % du chiffre d'affaires atteint entre 75 % et 100 %; et lorsque le rendement dépasse 100 % d’atteinte, les taux incitatifs sont égaux ou supérieurs à 1 % pour chaque tranche de 1 % du chiffre d'affaires atteint, sans limites de rémunération incitative.
Pour les éléments de performance de vente non basés sur les quotas, tels que les objectifs de vente stratégiques, Cisco peut payer jusqu’à 125 % de l’objectif. Les plans de vente de Cisco ne prévoient pas de seuil minimum de performance pour le versement de la rémunération incitative pour les ventes.
Renseignements confidentiels de Cisco
