Senior Software Engineer - GenAI

Posted 8 Days Ago
Hiring Remotely in USA
Remote
176K-207K Annually
Senior level
Security • Cybersecurity
The Role
As a Senior Software Engineer in the GenAI Group, you will develop AI models, provide technical leadership, optimize performance, and collaborate on innovative AI solutions for security applications.
Summary Generated by Built In

About The Role

Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime. Being effective at stopping cybercrime, due to its adversarial nature, requires a high level of agility to respond to threats. Our Research and Development organization is forming a group to develop advanced AI-powered security products at Abnormal, creating innovative solutions for customers while supercharging internal processes.

The Gen AI Group (GAI) is at the forefront of developing next-generation AI-based solutions that will transform our customer-facing products and internal applications. As a Senior Software Engineer in the GAI, you will play a pivotal role in architecting, developing, and deploying advanced AI technologies to solve complex problems identified working with senior engineering leaders including our CTO and Chief Architect. This position requires a blend of technical expertise, innovative thinking, and leadership skills to drive the development of cutting-edge AI solutions.

About You

  • Are passionate about leveraging AI to solve real-world problems and can demonstrate innovative thinking in AI applications.
  • Have a strong track record of leading technical projects and mentoring other engineers.
  • Enjoy working on complex problems and can adapt to rapidly changing environments.
  • Thrive in collaborative settings and are eager to work with cross-functional teams to achieve common goals.
  • Are excited about the opportunity to shape the future of AI-powered security products and make a significant impact in the cybersecurity industry. 

What You Will Do 

  • AI Solution Development: Design, develop, and implement advanced AI models and algorithms to solve identified problems, ensuring they meet performance, scalability, and reliability requirements.
  • Technical Leadership: Provide technical guidance and mentorship to junior engineers within the team, fostering a collaborative and innovative work environment.
  • Research & Innovation: Stay abreast of the latest advancements in AI and machine learning technologies, incorporating relevant techniques and methodologies into the development process.
  • Collaboration: Work closely with the CTO, Chief Architect, and other stakeholders to understand business needs and translate them into technical solutions.
  • Code Quality & Best Practices: Ensure the highest standards of code quality, documentation, and best practices are maintained across the team.
  • System Architecture: Contribute to the architecture and design of AI systems, ensuring they are robust, maintainable, and aligned with the overall technical strategy of the organization.
  • Performance Optimization: Analyze and optimize AI models and systems for efficiency, performance, and scalability.
  • Integration: Collaborate with other engineering teams to integrate AI solutions seamlessly into existing products and systems.

This is a leadership role on the team and you will be expected to contribute both code and guidance to the team: you will be accountable for delivering great solutions and simultaneously making the team around you better.

Must Have

  • 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

Nice To Have 

  • Experience with big data technologies and tools such as Hadoop, Spark, or similar.
  • Knowledge of reinforcement learning, computer vision, or other specialized AI domains.

#LI-ML1

At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.

Base salary range:

$176,000$207,000 USD

Top Skills

Ai/Ml
Go
Hadoop
Python
PyTorch
Scikit-Learn
Spark
TensorFlow
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The Company
San Francisco, CA
175 Employees
On-site Workplace
Year Founded: 2018

What We Do

The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.

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