Machine Learning Engineer
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Location:Offsite, Glasgow, United Kingdom
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Alternate LocationParis, France; Madrid, Spain; Barcelona, Spain; Valencia, Spain;
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Area of InterestEngineer - Software
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Job TypeProfessional
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Technology InterestAI or Artificial Intelligence
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Job Id1433251
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!
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
