23 hours ago

Detections Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build proof-of-concept detection capabilities that turn data science research into engineering-ready anomaly detectors for cybersecurity threats, preventative maintenance issues, and telemetry anomalies. Partner with data scientists and product engineers to generalize insights and transition validated algorithms into the core platform. Work with cross-functional integrated product teams, analyze serial bus data for root cause, implement protocol parsers, and collaborate with QA to create testbeds and validation suites.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, prototype, and build PoC anomaly detection capabilities for cybersecurity threats, preventative maintenance issues, and telemetry anomalies.
•Partner with data scientists to operationalize statistical insights and with product engineers to hand off validated algorithms into the core platform.
•Collaborate across field engineering, product, and data science disciplines in Integrated Product Teams to deliver integrated detection capabilities.
•Analyze large repositories of serial bus data to distinguish benign traffic from failure signatures and malicious cyber activity, performing root-cause analysis and refining algorithms.
•Read and interpret specifications to build protocol parser logic and work with QA/Test Engineers to create testbeds, simulation frameworks, and validation suites.

Travel: Low travel

Pay and Benefits

Salary: USD 170,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsurancePaid LeaveRemote Work

Key Requirements

•BS/MS in CS, Computer Engineering, Electrical Engineering, Data Science, or equivalent experience.
•Proficiency in Python and/or Rust (or C/C++ with an eagerness to learn Rust).
•Strong developer tooling experience including Git, GitHub Actions, Docker, and Linux CLI.
•Solid understanding of data analysis techniques and basic ML concepts, plus operating systems knowledge (Linux) and cybersecurity anomaly detection fundamentals.
•Experience with time-series or network traffic data and serial/embedded protocols (e.g., MIL-STD-1553, ARINC 429, CAN, Ethernet/IP), or experience in embedded systems, protocol reverse engineering, or predictive maintenance.

Experience:CybersecurityPredictive maintenanceTime-series dataNetwork traffic dataEmbedded systemsProtocol reverse engineeringAnomaly detection

Education:Master's

Skills:CollaborationDocumentationRoot-cause analysisData analysis

Languages:English

Tech Stack:PythonRustC/C++GitGitHub ActionsDockerLinux CLILinuxMIL-STD-1553ARINC 429CANEthernet/IP

Company Brief

Shift5

Provides cybersecurity and operational monitoring solutions for transportation and mobility systems, protecting connected vehicles, trains, and infrastructure from cyber threats while enabling real-time operational visibility and safety analytics.

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: Pittsburgh, United States

Founded: 2016

Website LinkedIn

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Shift5

23 hours ago

Detections Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, prototype, and build PoC anomaly detection capabilities for cybersecurity threats, preventative maintenance issues, and telemetry anomalies.
•Partner with data scientists to operationalize statistical insights and with product engineers to hand off validated algorithms into the core platform.
•Collaborate across field engineering, product, and data science disciplines in Integrated Product Teams to deliver integrated detection capabilities.
•Analyze large repositories of serial bus data to distinguish benign traffic from failure signatures and malicious cyber activity, performing root-cause analysis and refining algorithms.
•Read and interpret specifications to build protocol parser logic and work with QA/Test Engineers to create testbeds, simulation frameworks, and validation suites.

Travel: Low travel

Pay and Benefits

Salary: USD 170,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsurancePaid LeaveRemote Work

Key Requirements

•BS/MS in CS, Computer Engineering, Electrical Engineering, Data Science, or equivalent experience.
•Proficiency in Python and/or Rust (or C/C++ with an eagerness to learn Rust).
•Strong developer tooling experience including Git, GitHub Actions, Docker, and Linux CLI.
•Solid understanding of data analysis techniques and basic ML concepts, plus operating systems knowledge (Linux) and cybersecurity anomaly detection fundamentals.
•Experience with time-series or network traffic data and serial/embedded protocols (e.g., MIL-STD-1553, ARINC 429, CAN, Ethernet/IP), or experience in embedded systems, protocol reverse engineering, or predictive maintenance.

Experience:CybersecurityPredictive maintenanceTime-series dataNetwork traffic dataEmbedded systemsProtocol reverse engineeringAnomaly detection

Education:Master's

Skills:CollaborationDocumentationRoot-cause analysisData analysis

Languages:English

Tech Stack:PythonRustC/C++GitGitHub ActionsDockerLinux CLILinuxMIL-STD-1553ARINC 429CANEthernet/IP

Company Brief

Shift5

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: Pittsburgh, United States

Founded: 2016

Website LinkedIn