Principal Machine Learning Engineer

Expected

Optional

Adtran seeks an outstanding Principal Machine Learning Engineer with the role of a Subject Matter Expert to work on the execution of ML/AI-driven Network Intelligence Solutions. You will collaborate with a highly skilled team of engineers, data scientists and subject matter experts to develop proof-of-concepts, explore AI-driven insights, and define next generation of data intelligence products.

• Design and develop AI/ML models for network traffic analysis, anomaly detection, and predictive maintenance.
• Implement real-time analytics for detecting cyber threats, QoS deviations, and performance bottlenecks.
• Optimize ML models for low-latency, high-throughput processing in network environments.
• Build data pipelines for structured and unstructured networking data, including logs, telemetry, and packet flows.
• Engineer network-specific features to improve model accuracy and explainability.
• Work with big data platforms (Spark, Databricks, Kafka, Redshift) for scalable data processing.
• Deploy ML models in cloud (AWS) and edge computing environments for real-time processing.
• Optimize AI-driven SDN (Software-Defined Networking) and NFV (Network Function Virtualization) solutions.
• Integrate ML pipelines with network monitoring tools (Wireshark, Prometheus, NetFlow, SNMP, OpenTelemetry).
• Stay up to date with emerging AI/ML applications in networking (5G, Wi-Fi 6/7, SD-WAN, intent-based networking).
• Explore and implement new AI-driven approaches for network automation and self-healing networks.
• Collaborate with industry leaders, standards organizations (IEEE, IETF, BBF), and open-source communities.
• Optimize data pipelines and infrastructure to support high-performance ML workloads.
• Work closely with network engineers, cybersecurity teams, and cloud architects to develop ML-driven solutions.
• Provide technical guidance to product teams, ensuring ML solutions align with business objectives and network constraints.
• Contribute to technical documentation, whitepapers, and industry presentations on AI/ML in networking.

Optional

This is how we work

• Stable employment conditions based on an employment contract (turnover rate below 4%)
• 1 additional vacation day for all, and 1 extra after 10 years being with us
• Flexible working hours and possible hybrid work (presence in the office in Gdynia 3 days a week)
• English lessons during working hours
• Internal training program to support your training needs
• Paid employee referral program
• Multisport Card
• 3% employer contribution to PPK
• Private Health Care at Medicover (extended package for employees and possibility to enroll family members)
• Strong team-oriented and friendly work culture
• Access to various sports activities and events
• Modern office (well-equipped gym and playroom) close to the SKM/PKM stations

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• integration events
• corporate gym
• corporate sports team
• no dress code
• video games at work
• coffee / tea
• drinks
• parking space for employees
• pre-paid cards
• employee referral program
• extra leave

• 1 complex remote interview and feedback in 2 weeks!

Adtran