Machine Learning Engineer
Cisco
Join Cisco's AI infrastructure networking team to validate Ethernet fabrics for AI/ML workloads and enhance customer data center networks.
Last checked on June 27, 2026. We may earn a commission when you click through.
The role is ideal for those with a strong background in Ethernet/IP networking looking to impact AI/ML infrastructure. However, it demands significant experience, which may deter entry-level candidates.
Machine Learning Engineer
Cisco
Updated 12 days agoYou'll be redirected to careers.cisco.com
The role is ideal for those with a strong background in Ethernet/IP networking looking to impact AI/ML infrastructure. However, it demands significant experience, which may deter entry-level candidates.
About this role
Join Cisco's AI infrastructure networking team to validate Ethernet fabrics for AI/ML workloads and enhance customer data center networks.
About the Company
Cisco is a leading global technology company specializing in networking hardware, software, and telecommunications equipment.
Key Highlights
- ✓ Plan and execute AI/ML infrastructure benchmarks.
- ✓ Validate fabric designs and translate results into recommendations.
- ✓ Focus on high-performance Ethernet fabrics for AI workloads.
💡 Honest Take: This position offers an excellent opportunity for experienced engineers to work on AI networking solutions at a reputable company.
Pros
- ✓ Opportunity to work with AI/ML technologies.
- ✓ Collaborative environment within a reputable company.
- ✓ Focus on high-performance networking solutions.
Cons
- ✗ Requires 5 to 8 years of experience.
- ✗ Not suitable for entry-level candidates.
- ✗ Limited remote work flexibility.
Best For: Ideal for individuals keen on developing scalable data center networks in an innovative tech environment.
Watch Out: Candidates should be prepared for a competitive selection process due to the high experience requirement.
You'll be redirected to careers.cisco.com
What Customers Say
Employees appreciate the collaborative work culture and the innovative projects but mention high expectations and workload intensity.
Expert Review
This role at Cisco demands a solid grounding in Ethernet/IP networking technologies, especially around L2/L3 forwarding, BGP, and EVPN/VXLAN. Engineers will validate benchmarks that directly influence customer outcomes. The collaborative atmosphere offers a chance to engage with AI technologies.
Candidates should come equipped with practical experience in designing and analyzing network performance, particularly in throughput and latency scenarios. Cisco’s focus on AI/ML infrastructure positions this role at the forefront of technology, ppealing to engineers who thrive on innovation.
However, the requirement for 5-8 years of experience may exclude many potential applicants. Those new to the field or with less experience may find it challenging to compete. Interested candidates can find more details on Cisco's careers page (https://careers.cisco.com/ca/fr/job/CISCISGLOBAL2017706EXTERNALFRCA/Machine-Learning-Engineer-Ethernet-IP-networking-including-L2-L3-forwarding-BGP-ECMP-EVPN-VXLAN-VRFs-ACLs-QoS-5-to-8-years?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic).
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