At a Glance
- Tasks: Develop cutting-edge machine learning models to protect customers from account takeovers.
- Company: Join a top cybersecurity startup recognised for innovation and growth.
- Benefits: Competitive salary, health benefits, remote work options, and career development opportunities.
- Other info: Dynamic team environment with excellent opportunities for professional growth.
- Why this job: Make a real impact in cybersecurity while working with advanced technologies.
- Qualifications: 3+ years in machine learning, strong Python skills, and a passion for data science.
The predicted salary is between 60000 - 80000 £ per year.
Abnormal AI is looking for a Machine Learning Engineer to join the Account Takeover Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. Our 100% YoY growth in annual recurring revenue highlights the trust our behavioral AI system has earned in protecting over 20+% of the Fortune 500. We continue to grow and innovate to stay ahead of the evolving threat landscape.
The Account Takeover team (ATO) is at the forefront of customer protection, playing a central role in building systems that can detect malicious activity and protect customers from account takeovers. The Account Takeover Detection team’s mission is to leverage cutting-edge machine learning technologies for proactive detection and prevention of account takeover attempts, continuously improving ATO capabilities to stay ahead of evolving fraud patterns and safeguard user accounts with unparalleled accuracy and efficiency.
This role offers the opportunity to contribute significantly to our team's charter, direction, and roadmap by defining technical goals, addressing customer problems, maintaining production models, and ensuring operational excellence. The ideal candidate will have a background in machine learning, data science, and software engineering, with the ability to design, develop, and implement robust machine learning models and systems in production.
Key Responsibilities:
- Contribute to the development of machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.
- Work with cross-functional teams to understand requirements and translate them into effective machine learning solutions.
- Conduct exploratory data analysis, feature engineering, model development and evaluation.
- Work with infrastructure and product engineers to productionize models and new ML-based features.
- Monitor and improve production models through feature engineering, rules, and ML modeling as part of a team effort.
- Participate in code reviews to ensure the quality and maintainability of ML systems.
- Stay updated on the latest research in the field of machine learning, data science, and AI.
- Adopt and contribute to the development of machine learning best practices within the organization.
Required Skills:
- Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+ years).
- Knowledge of machine learning algorithms, statistics, and predictive modeling.
- Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally, pytorch/tensorflow.
- Awareness of machine learning operations (MLOps) and productionization of ML models best practice.
- Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy.
- Ability to communicate technical ideas in a clear, non-technical manner.
Optional Skills:
- Familiarity with LLMs.
- Previous experience in Cybersecurity.
- Previous experience with Airflow or similar ML pipeline orchestration tools.
- Experience with large scale ML system and data infrastructure.
- Previous experience in behavioural modeling techniques.
- PhD or equivalent proven experience in ML research.
- Familiarity with cloud computing platforms (AWS, Azure).
Machine Learning Engineer II - Behavioral Security Products employer: Abnormal
At Abnormal, we pride ourselves on being an exceptional employer that fosters a culture of innovation and continuous learning. As a Learning Experience Facilitator, you will not only lead engaging onboarding sessions but also have the opportunity to shape the future of AI transformation in a collaborative environment. With a strong emphasis on employee growth, access to cutting-edge AI tools, and a commitment to creating memorable learning experiences, Abnormal is the ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer II - Behavioral Security Products
✨Get Involved in the Cybersecurity Community
Diving into the cybersecurity community is key for landing that full-time gig. Join forums like Reddit's r/cybersecurity or attend local meetups to connect with industry veterans and other job seekers. Networking is everything in this field—don’t just be a passive lurker!
✨Show Off Your Skills with Capture the Flag Competitions
Participate in Capture the Flag (CTF) competitions; these are not just a fun way to boost your skills but also a chance to showcase your talent to potential employers. Many companies, including Abnormal, love seeing candidates who actively engage in these challenges.
✨Tailor Your Online Presence
Make sure your LinkedIn and any professional profiles reflect your cybersecurity expertise. Share your projects, whether they’re personal or from a previous role, to catch the eye of hiring managers. This is how they’ll find your passion and commitment to the field!
✨Apply Directly Through Abnormal
Don’t forget to head straight to our website and check out any openings for cybersecurity roles at Abnormal. Applying directly can sometimes give you an edge, especially if you can mention that you've been following our work or engaging in the community.
We think you need these skills to ace Machine Learning Engineer II - Behavioral Security Products
Some tips for your application 🫡
Show off your technical skills:In cybersecurity, it's crucial to highlight your technical prowess. Make sure your CV showcases specific skills like network security, penetration testing, or threat analysis. If you have relevant certifications (like CEH or CISSP), pop those on the front page to grab attention!
Tailor your portfolio for the role:Even for a full-time role, a portfolio can set you apart. If you've worked on any cybersecurity projects—be it CTF challenges, security assessments, or research papers—include these in your application. This demonstrates not just your skills, but also your hands-on experience!
Use real-world examples:When writing your cover letter, don’t just stick to your qualifications. Share real-world examples of how you’ve tackled security issues or vulnerabilities. This gives the hiring team at Abnormal insight into your practical problem-solving abilities and makes your application memorable.
Demonstrate your passion for cybersecurity:Cybersecurity is an ever-evolving field, so show us that you’re always learning! Mention any recent courses, webinars, or industry events you’ve attended. This not only exhibits your enthusiasm but also signals to Abnormal that you’re committed to staying ahead in the game.
How to prepare for a job interview at Abnormal
✨Sharpen Your Technical Skills
For a role in cybersecurity, it’s essential to be up-to-date with the latest tools and techniques. Brush up on your knowledge of firewalls, intrusion detection systems, and vulnerability assessment tools. Be ready to discuss specific scenarios where you’ve applied these skills, as hands-on experience can really set us apart in interviews.
✨Prepare for Scenario-Based Questions
Expect the interviewers at Abnormal to throw in some hypothetical situations to see how you’d handle them. Think about common security breaches or incidents and be prepared to explain how you would respond. This not only shows your problem-solving skills but also your understanding of real-world cybersecurity challenges.
✨Highlight Your Certifications
Certifications like CompTIA Security+, CISSP, or CEH can give you a significant edge in a full-time role in cybersecurity. Make sure to mention these during your interview and be prepared to discuss what you learned through those certifications and how they relate to the position at Abnormal.
✨Show Your Passion for Cybersecurity
Since you’re going for a full-time gig, showing genuine enthusiasm for the field can make all the difference. Share any personal projects, blogs, or communities you’re part of that relate to cybersecurity. This not only showcases your passion but also your commitment to staying engaged in this ever-evolving field.
