Full-Time

Senior Backend Software Engineer

GenAI

Confirmed live in the last 24 hours

Abnormal Security

Abnormal Security

501-1,000 employees

AI-driven email security against cyber threats

Cybersecurity
AI & Machine Learning

Compensation Overview

$176k - $207kAnnually

+ Bonus + Restricted Stock Units (RSUs)

Senior, Expert

Remote in USA

Category
Backend Engineering
Software Engineering
Required Skills
Scikit-learn
Python
Tensorflow
Pytorch
Machine Learning
Go
Requirements
  • Minimum of 8 years of experience in software engineering with a focus on AI/ML.
  • Proven track record of delivering AI-based solutions in a production environment.
  • Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Backend generalist with both breadth and depth of experience with several backend architectures (streaming, event driven, RPC-based, serverless, etc.) and technologies (data stores, caches, RPCs, etc.)
  • Strong programming skills in languages such as Python or Go
  • Proven track record mentoring engineers and 'raising the bar' for the whole team
  • Independent and self-motivated
Responsibilities
  • Design, develop, and implement advanced AI models and algorithms to solve identified problems, ensuring they meet performance, scalability, and reliability requirements.
  • Provide technical guidance and mentorship to junior engineers within the team, fostering a collaborative and innovative work environment.
  • Stay abreast of the latest advancements in AI and machine learning technologies, incorporating relevant techniques and methodologies into the development process.
  • Work closely with the CTO, Chief Architect, and other stakeholders to understand business needs and translate them into technical solutions.
  • Ensure the highest standards of code quality, documentation, and best practices are maintained across the team.
  • Contribute to the architecture and design of AI systems, ensuring they are robust, maintainable, and aligned with the overall technical strategy of the organization.
  • Analyze and optimize AI models and systems for efficiency, performance, and scalability.
  • Collaborate with other engineering teams to integrate AI solutions seamlessly into existing products and systems.
Desired Qualifications
  • Experience with big data technologies and tools such as Hadoop, Spark, or similar.
  • Knowledge of reinforcement learning, computer vision, or other specialized AI domains.

Abnormal Security protects organizations from advanced cyber threats, particularly those targeting email communications. The company uses artificial intelligence and machine learning to identify and block risks like phishing, malware, and business email compromise, which often evade traditional security systems. Its services are tailored for large enterprises that need strong security measures to safeguard sensitive information. Abnormal Security stands out from competitors by offering a subscription-based model that integrates easily with existing email systems, allowing for quick setup and minimal disruption. The goal is to provide effective protection against evolving cyber threats while continuously enhancing their technology through ongoing research and development.

Company Stage

Series D

Total Funding

$519.4M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

1%

1 year growth

1%

2 year growth

-4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $250M in Series D funding, valuing the company at $5.1 billion.
  • Expanding product line beyond email to include cross-platform security solutions.
  • Named to CNBC Disruptor 50 list, highlighting rapid growth and innovation.

What critics are saying

  • Increased competition from emerging AI-powered cybersecurity startups like Patlytics.
  • Potential market saturation in the email security sector leading to pricing pressures.
  • Regulatory scrutiny on AI technologies could increase compliance costs.

What makes Abnormal Security unique

  • Abnormal Security uses AI to model human behavior for email threat detection.
  • The platform integrates seamlessly with existing email systems via API for quick deployment.
  • Recognized as a Leader in Gartner's Magic Quadrant for Email Security Platforms 2024.

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Benefits

Competitive pay and equity

One of the most proven machine learning teams in Silicon Valley

Best-in-class customer traction and growth

Team-wide commitment to excellence, velocity, and customer-focus

Strong growth opportunities and high ownership expectations

Full medical, dental, and vision health insurance benefits

Daily catered lunches and snacks

Generous PTO