Senior Software Engineer, Abnormal AI
Model Platform
More information about location
Cloud email security platform
Be an early applicant
Cloud email security platform
1001+ employees
Be an early applicant
More information about location
1001+ employees
Company mission
To make the cloud a safer place for businesses.
Role
Who you are
- A first principles approach to building scalable, customer-centric solutions
- A drive to solve meaningful & pragmatic problems for real-world people
- An ownership and impact-oriented outlook on your efforts and growth
- An ability to iterate in real-time-solving novel problems, quickly and autonomously
- An ability to iterate in real-time - solving novel problems, quickly and autonomously
- 5+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building ML-engineering focused solutions
- Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of cloud-based engineering best practices
- Experience with maintaining real-time and near real-time data pipelines or streaming services at high scale
- Proven ability to collaborate effectively with cross-functional teams, including data scientists, machine learning engineers, product managers, and other stakeholders. You can translate requirements into actionable technical tasks, communicate progress clearly, and adapt to feedback
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You can break down complex challenges into manageable steps and iterate on solutions, balancing immediate needs with long-term scalability
- Familiarity with machine learning workflows and requirements to support MLE teams effectively. This includes feature development and serving at 50K+ QPS, offline/online equivalency, large batch jobs for data gathering and training of tree and deep learning models
- Experience with streaming data architectures and real-time processing
- Knowledge of security and compliance frameworks as they relate to data engineering and data privacy
What the job involves
- Abnormal AI is looking for a Senior Software Engineer to join the Detection Team
- The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and helping make the world a safer place
- As a Senior Software Engineer building systems for Detection’s Signals and Serving Team, you will make feature development at Abnormal fast, responsive, stable, and confident for our ML and Data Science team
- Architect, design, build, deploy, and maintain Model Serving infrastructure that supports a world-class Detection Engine
- Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today
- Build the platform for fighting against rapidly generated AI attacks
- Own real-time, near real-time streaming pipelines, and online feature serving services
- Build Abnormal’s ML Training platform, improving MLE velocity and product precision and recall
- Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing
- Coach and mentor junior engineers via 1on1s, pair programming, high-quality code reviews, and design reviews
Application process
- Submit your application below. We review every submission and typically respond within two weeks
Our take
Fraud involving impersonation is one of the top causes of online financial crime. Criminal tactics like email account spoofing, where the criminal impersonates an official account to steal personal information or money, are rife. Abnormal AI is a startup aimed at handling these hyper-targeted and personalised email attacks by analysing communications and identifying potential fraud before it can take place.
The fraud detection space is extremely competitive, but Abnormal AI differentiates itself through its focus on the threat of impersonation rather than a spectrum of threats. This has allowed it to amass a wealth of data relating specifically to high-risk impersonation attacks, analyzing over 45,000 signals to detect any anomalies.
Its specialised approach has fuelled rapid growth, leading to a $5B valuation after a Series D Funding round in 2024. Now, Abnormal plans to double down on product development and expand internationally, prioritising markets where data security laws necessitate a local presence. By staying focused on impersonation, Abnormal AI positions itself as a formidable force in the fight against online financial crime.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2024
$250m
SERIES D
May 2022
$210m
SERIES C
Total funding: $534m
Company benefits
- Healthcare
- Flexible PTO
- 401k
- One Medical
- Flexible Spending Account
- Mental Health Resources
- Home Office Stipend
- Monthly Internet & Phone Stipend
- Health and Wellness Stipend
Company HQ
Spring Valley, NV
Leadership
Evan Reiser
(Co-Founder & CEO)Having started their career as a Software Engineer, co-founded GamerNook.com, Bloomspot, and Adstack before spending 3 years at Twitter. Co-founded Abnormal Security in April 2018, and has been CEO since.
Sanjay Jeyakumar
(Co-Founder & CTO)Previously Senior Software Engineer at Twitter and Google. Was also Software Architect at TellApart.
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