Senior Machine Learning Engineer

Abnormal Security Corporation; United Kingdom; Remote; GBP 70,000 - 100,000; Full time

Job summary

A leading cybersecurity company is seeking a Senior Machine Learning Engineer to enhance its Account Takeover Detection team. This role involves developing advanced machine learning models to protect customers from evolving threats, contributing to a mission-driven team dedicated to innovative solutions in cybersecurity. The ideal candidate will have extensive experience in machine learning, data science, and software engineering, along with a passion for tackling complex security challenges.

Benefits

Competitive Compensation

Equity Options

Flexible PTO

Generous Healthcare Coverage

Fully Distributed Workforce

Qualifications

• Proven experience as a Machine Learning Engineer or similar role.
• Strong knowledge of machine learning algorithms and predictive modeling.
• Experience with MLOps and productionization of ML models.

Responsibilities

• Lead the development of machine learning algorithms for cybersecurity detection.
• Collaborate with teams to translate requirements into effective ML solutions.
• Monitor and improve production models through feature engineering.

Skills

Machine Learning Algorithms

Data Science

Software Engineering

Python

MLOps

Data Pipelines

Communication

Education

PhD in Machine Learning or related field

Tools

pandas

scikit-learn

SQL

Spark

AWS

Azure

Job description

Abnormal Security is looking for a Senior 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. Abnormal is recognized as a top cybersecurity startup (Leader in the 2024 Gartner Magic Quadrant for Email Security Platforms), securing a Series D funding of $250 million at a $5.1 billion valuation in August 2024. Our 100% YoY growth in annual recurring revenue highlights the trust our behavioral AI system has earned in protecting over 17% of the Fortune 500. We continue to grow and innovate to stay ahead of the evolving threat landscape.

About the team

In a landscape where a single successful attack can lead to financial losses of millions of dollars, 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

About the Role

This role will have an opportunity to have a significant impact on the overall charter, direction and roadmap of the team. You will be involved in defining the technical roadmap required to address the most pressing customer problems and simultaneously, maintain production models ensuring operational excellence as well as long term strategy. The ideal candidate will have a strong 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

• Lead the development of machine learning algorithms and models for behavioural modeling and cybersecurity attack detection.
• Collaborate 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 & product engineers to productionize models and new ML based features.
• Actively monitor and improve production models through feature engineering, rules and ML modeling.
• Participate in code reviews and ensure high quality and maintainability of ML systems.
• Stay updated on the latest research in the field of machine learning, data science, and AI.
• Contribute to the development of machine learning best practices within the organization.
• Provide mentorship and guidance to junior team members.

Required Skills

• Proven experience as a Machine Learning Engineer or similar role.
• Strong knowledge of machine learning algorithms, statistics, and predictive modeling
• Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow.
• Experience with machine learning operations (MLOps) and productionization of ML models.
• 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 complex 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)

#LI-LB1

Export Compliance Notice:

This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization.The Company may delay commencement of employment, rescind an offer of employment, terminate employment, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions. As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is committed to protecting your privacy. Please review our Abnormal AI Applicant Privacy Policy for full information about how Abnormal AI uses your personal information. By submitting an application you confirm that you have read and understand the Abnormal AI Applicant Privacy Policy .

About Abnormal AI

We're one of the world's fastest growing cybersecurity companies, on a mission to protect the modern workplace from the most pressing threats. Our AI-native technology was built from the ground up to tackle forward-looking security challenges, and our team works with bleeding-edge technology to keep our customers and their people safe as attacks grow ever more sophisticated.Our team is what makes us successful, which is why we're committed to a culture of learning, ownership, and high performance, where you'll have the opportunity to accelerate your growth and unlock excellence with the support of talented colleagues.

Taking care of our team goes beyond the office. Our compensation and benefits philosophy is designed to put attract, motivate, and retain top talent: Competitive Compensation We pay competitively to attract, reward, and retain top talent in the market

Equity is an important part of our total comp strategy

When the company does well, we all do well. Equity is an important and exciting part of our total compensation strategy as a pre-IPO startup. We’re guided by the belief our team members should share in the financial success of our company and grant equity accordingly.

Flexible PTO

All regular salaried team members enjoy flexible PTO. We want team members to grow with us, and a big part of that is making sure our team has the opportunity to rest and recharge. We also observe 12 paid holidays every year.

Generous Healthcare Coverage for You and Your Family

Taking care of our team goes beyond the office. In the US, we cover 100% of employee health care premium costs, and up to 100% for dependents, depending on the plan. Internationally, we offer similarly generous coverage, customized to each country in which we operate.

Fully Distributed Workforce

Operating as a globally-distributed, majority remote company means we get to work with talented folks, no matter where they live. We prioritize a balance of deep focus time with Zoom meetings, and regular in-person events.As a fast growing startup, we continuously review, improve, and personalize our benefits offerings based on the team’s input. Don’t see something that’s important to you? Let us know!

Our Interview Process

We value transparency at Abnormal, and our interview process is no exception.

Inclusion Matters

Abnormal is committed to creating a diverse work environment. All qualified applicants will receive consideration without regard to race, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

Privacy Policy

Learn more about Abnormal's Privacy Policy here .

We have been made aware that there are potential scammers posing as Abnormal AI recruiters. Please ensure that any communication you have with our recruitment team comes from an official Abnormal email domain. Your safety and privacy are important to us, and we will never request sensitive personal information outside of our secure application process. Thank you for helping us maintain a secure and trustworthy application experience. Should you encounter what you believe to be a scamming attempt at any time in your recruiting process, please let us know at [e-mail]