Stellar Cyber

Empowering lean security operations teams of any skill to successfully secure their environments. WE ARE HIRING!

Senior ML Research Engineer

Research EngineerResearch EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

92 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishCloudCyber SecurityDistributed SystemsDockerGRPCJavaKubernetesMicroservicesPythonGo

Job Description

**Key Responsibilities** - Design and implement scalable data processing components and supporting features for Stellar Cyber’s cybersecurity applications, including but not limited to, threat detections, incident correlation, threat intelligence, and asset management. - Candidates who successfully pass all the interviews will be assigned to a project area in need. - Monitor and resolve production stability issues related to the aforementioned components and features. - Collaborate closely with machine learning / security researchers, UI / UX, and product management to ensure the design and implementation to align with evolving product needs and business goals.

Job Requirements

  • Minimum Qualifications**
  • Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
  • 3 years of experience with software development or 2 years of experience with an advanced degree in an industry setting.
  • 3 years of experience with data structures and algorithms in either an academic or industry setting.
  • 2 years of experience with developing backend functionalities, distributed systems, APIs (REST / gRPC), and microservices for machine learning or other data intensive projects.
  • Experience with cloud computing technologies, including containerization, orchestration, and deployment (Docker, Kubernetes, etc).
  • Experience in one or more of the following programming languages: Python, Java, Go.
  • Proficiency in communicating over a text-based medium (e.g., Slack) and can succinctly describe, discuss, and document technical details.
  • Preferred Qualifications**
  • PhD in Computer Science with a research focus on software systems.
  • Experience with developing backend components, such as threat detection engines, in a cybersecurity product.
  • Experience working on machine learning platform teams and/or building tools and frameworks for researchers.
  • Experience with observability frameworks and practices in machine learning systems.
  • Knowledge of machine learning and/or SecOps concepts is a plus.

Benefits

  • Pre-IPO Stock Options (equity opportunity)
  • Medical, Dental & Vision care
  • Life Insurance
  • 401(k)
  • Employee Assistance Program
  • Paid time off
  • Referral Program
  • Rewards and Recognition Program

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