Level

Cisco

Machine Learning Engineering Technical Leader

Cisco is hiring a Machine Learning Engineering Technical Leader in San Jose, United States. It pays $257k-$333k a year and Level rates it ; you can apply on Cisco.

Level's read on this job

  • On Level's scale, this machine learning engineer role is Little AI ●○○○: aI is not part of the work.
  • Pay on this posting starts 29% higher than the typical machine learning engineer posting on Level.
  • The posting mentions Weaviate, Qdrant and Milvus among its tools and skills.
  • Cisco has 1,400+ other open roles on Level.
  • Posted in the last few days.

AI in this role

weaviateqdrantmilvus
The application window is expected to close on: 11/19/2026

MEET THE TEAM

The AI Software & Platform Team designs and operates the core platform infrastructure that connects Cisco’s enterprise product dashboards with intelligent, agentic AI capabilities. By building a multi-service architecture of agentic orchestrators and high-throughput API gateways, the team ensures that AI capabilities are integrated seamlessly into the larger Cisco ecosystem to drive real-time operational workflows at scale. The team is composed of highly technical engineers working with Go and Python microservices, fostering a vibe of high-scale innovation and security resilience. It is an exciting time to join the team as we define the future of agentic AI orchestration and distributed system trust within the enterprise.


YOUR IMPACT

As a Senior Technical Lead, you will own the architectural direction and cross-service technical execution for our distributed AI platform to ensure robust identity and multi-tenancy. You will author end-to-end technical specifications for platform capabilities to decompose complex system designs into executable work streams across multiple engineering teams. You will harden service-to-service communication by deploying cryptographic identity signing and zero-trust verification to enhance fleet security. Additionally, you will lead structured CVE remediation and production triage to maintain system stability and security resilience. Success in this role means establishing high engineering standards and mentoring senior engineers to drive the platform's technical maturity.


MINIMUM QUALIFICATIONS

  • Education & Experience: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline + 12+ years of professional software engineering experience; OR Master’s degree with 10+ years; OR PhD with 7+ years; OR an equivalent combination of education and verified industry software engineering experience.
  • Distributed Systems Engineering: Minimum of 8 years designing, building, and operating high-concurrency, distributed backend microservices in production, with demonstrable proficiency in both Go and Python.
  • Identity & Security: Minimum of 4 years designing and implementing enterprise authentication and authorization systems (e.g., OAuth 2.0 / OIDC, JWT, RFC 8693 token exchange, mTLS).
  • AI & Agentic Systems: Demonstrated experience building or integrating LLM orchestration frameworks, agentic runtimes (e.g., ReAct), tool-calling interfaces, or Model Context Protocol (MCP) servers.
  • Cloud Infrastructure: Hands-on experience deploying and operating services on Kubernetes with automated secret management and distributed tracing (OpenTelemetry/APM).

PREFERRED QUALIFICATIONS

  • Experience designing API gateways, gRPC/protobuf service definitions, and shared client libraries across large monorepos.
  • Experience with distributed workflow engines (e.g., Temporal) and real-time event streaming (SSE, WebSockets, Kafka).
  • Experience with feature flag lifecycle management and targeting using tools like LaunchDarkly.
  • Experience leading remediation programs in collaboration with internal offensive security or red-team penetration testing groups.
  • Experience integrating vector databases (e.g., Weaviate, Milvus, Qdrant) and relational databases (PostgreSQL/pgx) at scale.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $256,900.00 to $333,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks.  Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$256,900.00 - $383,500.00

Non-Metro New York state & Washington state:

$234,400.00 - $341,100.00

* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

How we rate this

Machine Learning Engineering Technical Leader at Cisco rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

WeaviateQdrantMilvus

Also common in machine learning engineer jobs at this level

Pay

This job starts at
$257k
Typical machine learning engineer job
$199k

This posting starts 29% above the typical machine learning engineer job. See machine learning engineer jobs

Questions you could be asked

  1. What's a project where you used Weaviate hands-on?
  2. Walk me through how you've used Qdrant in your day-to-day work.
  3. What are the limits of Milvus that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: Weaviate, Qdrant, and Milvus. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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