Engineering Manager: Core ML Engineering

Engineering Manager: Core ML Engineering

This job is no longer open

About You 

As an Engineering Manager on the Core ML team on Message Detection team, you and your team are ultimately responsible for the main product and capabilities of Abnormal Security - determining if an email is an attack, a scam, or legitimate business communication. We protect and empower our customer’s against nefarious adversaries - and end up saving them considerable time and money in the process.

The team you lead here will own the very core set of ML models and the critical detection control layer which orchestrates across these models, rules, and algorithms to drive an informed decision.

 

We are looking for an engineering manager with the following qualities:

  • A desire to work with, and building, diverse teams that combines a variety of backgrounds and viewpoints to build best-of-breed ML Systems to empower our users & customers
  • A principles-first approach to building scalable, customer-centric solutions
  • A motivation to establish and maintain a high standard of  Excellence for the company, team, and one’s self
  • A mission-first drive to solve meaningful & pragmatic problems for real-world people

 

In this job, you will bring these skills

  • Ability to work with cross-functional teams & customers to establish requirements and ensure their downstream clarity
  • Ability to create and execute on hiring plans to meet roadmap deliverables and budgetary requirements
  • Ability to establish and maintain repeatable processes to streamline design docs, roadmap planning, and overall goal tracking and attainment.
  • Ability to identify potential technical roadblocks and help provide proven solutions to avoid/mitigate

 

Qualifications: 

  • 5+ years of experience as a hands-on engineer (either MLE or SWE) building data-oriented products and/or ML systems/products
  • 2+ years of experience managing Machine Learning Engineering teams 

 

Preferred Qualifications:

  • Experience with Deep Learning and/or NLP (preferred, not required)
  • PhD in Machine Learning
  • ML-centric publications and/or conference presentation experience

About Abnormal Security

We’re the world’s fastest-growing cybersecurity company, dedicated to making the world a safer place, one inbox at a time. Through applying ML, AI, and behavioral data science to the cybersecurity space, we’re leading the charge on protecting the modern workplace from all types of attacks. We operate from a customer-obsessed mindset, dedicated to creating a best-in-class product that delivers on its promise, and our customers love us for it

We take the same approach with our team as we do with our customers. We’re committed to designing an employee experience that provides interesting and challenging problems to work on in a supportive, low-ego environment. Our seasoned, successful leadership team is passionate about providing endless opportunities for every team member to learn and grow, and our entire company is committed to being 1% better every day. With 4.9 stars on Glassdoor and several recently announced workplace awards, our team thinks it’s going pretty well so far!

We know that it’s our team that makes us successful - and we’re just getting started! You can read more about our team here.

 

Our Values

Far from gathering dust in some forgotten corner, our values serve as our operating principles for every team member. We clearly define what values drive us, so our entire team works from the same foundation and understanding. From the CEO to the interns, all of us are held accountable to our VOICE Framework.

 

Our Benefits

Taking care of our team goes beyond the office. Our compensation and benefits philosophy is designed to put attract, motivate, and retain top talent:

Compensation targeted to the 75th percentile (for both base salary and equity)

If we want top performers to join and stay with us, we need to pay accordingly. We pay at the 75th percentile (for both base salary and equity) of our competitive market, and we benchmark to higher cost of living cities (such as San Francisco and New York) no matter where our team members live. We standardize our pay, meaning we pay for the role and level, not for any particular individual’s ability to interview or negotiate well.

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.

Unlimited PTO

All regular salaried team members enjoy unlimited 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 holidays every year.

100% of healthcare premium costs covered

Taking care of our team goes beyond the office. We cover 100% of employee health care premium costs. If adding dependents, we contribute 75% of the health care premium cost, so you can be sure that you and your family are in the best possible health.

Remote-first 

Operating as a remote-first 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. You can read more about our interview process here.

 

Next Steps

If this job feels like something that’s a good fit for you (even if you don’t meet ALL the qualifications), please apply. We’ll do our best to get back to you quickly - good, bad, or otherwise.

 

Base salary range: $203,500 - $234,100
Level: M3

This job is no longer open
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