- You have 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist.
- You have 3+ years of experience as an Engineering Manager and successfully managed a team of 5+ engineers.
- You have hands-on depth in at least one of: abuse/fraud detection, content classification, behavioral modeling, graph-based modeling, or LLM-based classification systems.
- You have strong communication skills and the ability to work well cross-functionally.
- You thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them.
- You are a first principles thinker that can work with others to come up with pragmatic solutions.
- You have a proven record of shipping ML systems to production at scale.
- You are passionate about coaching and leading other engineers, but can roll up your sleeves and get elbow deep in code when needed.
- You keep up with the industry trends and continuously identify new technologies to leverage to solve technical problems
The base salary range for this full-time position is listed below. This position will also be eligible for equity and benefits. Benefits include medical, dental, and vision insurance; a 401(k) plan; life and disability insurance; paid time off; and paid parental leave. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.
Please note that the compensation details listed in role postings reflect the base salary only, and do not include equity, or benefits. Applications for this role are accepted on an ongoing basis.
Base Salary
$272,000—$340,000 USD
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