Principal Machine Learning Engineer

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Thanks for your interest in working on our team!

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. 

Responsibilities 

• 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. 

Basic Qualifications 

• Master’s or PhD in Computer Science, Machine Learning, Networking, or a related field. 

• 8+ years of experience in AI/ML development, with a focus on network analytics, automation, or cybersecurity. 

• Strong programming skills like Python, TypeScript, C++ with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). 

• Expertise in networking technologies, including TCP/IP, SDN, NFV, BGP, MPLS, Wi-Fi, and network security protocols. 

• Experience with big data processing and real-time analytics (Apache Spark, Kafka, Flink, Elasticsearch). 

• Hands-on experience with AWS ML services. 

• Familiarity with network monitoring and performance management tools (Wireshark, SNMP, NetFlow, OpenTelemetry). 

• Strong problem-solving skills and ability to work with cross-functional teams. 

• C1+ English proficiency, with excellent communication and technical documentation skills. 

Preferred Qualifications 

• Experience developing AI-driven SDN, self-healing networks, or intent-based networking solutions. 

• Knowledge of AI/ML applications in 5G, Wi-Fi 6/7, and next-gen networking. 

• Experience with Edge AI, federated learning, and distributed AI models for networking. 

• Familiarity with network cybersecurity (intrusion detection, threat intelligence, Zero Trust architectures). 

• Hands-on experience with network automation frameworks (Ansible, Terraform) 

• Cisco DNA, Juniper Apstra is a plus. 

• Contributions to network AI/ML research, publications, patents, or open-source projects. 

• Experience working in multi-cloud and hybrid networking environments. 

Compensation and Benefits

• 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