Principal Machine Learning Engineer

Job title:

Principal Machine Learning Engineer

Company:

Adtran

Job description

Welcome!Our Growth is Creating Great Opportunities!Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you’ve had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you!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.ResponsibilitiesDesign 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 QualificationsMaster’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 QualificationsExperience 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 BenefitsStable 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 usFlexible working hours and possible hybrid work (presence in the office in Gdynia 3 days a week)English lessons during working hoursInternal training program to support your training needsPaid employee referral programMultisport Card3% employer contribution to PPKPrivate Health Care at Medicover (extended package for employees and possibility to enroll family members)Strong team-oriented and friendly work cultureAccess to various sports activities and eventsModern office (well-equipped gym and playroom) close to the SKM/PKM stations

Expected salary

Location

Gdynia, pomorskie

Job date

Fri, 21 Feb 2025 02:51:48 GMT

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