What You'll Do
Leadership & Team Building
Build the Team: Recruit, hire, and mentor a high-performing group of backend and ML engineers covering search infrastructure, computer vision, and applied AI.
Strategic Oversight: Own the end-to-end roadmap for Search and ML engineering backend from product-facing features like POI, LPR, and AI Search to the platform services that power them.
Cross-Functional Partnership: Partner closely with Product, Design, CV/ML research, Camera Firmware, and Infrastructure teams to align on priorities, dependencies, and deployment plans.
AI Search & Applied ML (Hands-On)
Agentic & Generative AI: Drive the rollout of AI-Powered Search, LLM migrations, VLM experimentation, and agentic AI into production-grade features.
Embeddings & Retrieval: Oversee the evolution of our vector search stack to improve recall, latency, and cost at fleet scale.
Model Evaluation: Lead detection evaluation, model consistency, and ongoing quality improvements for various CV and ML pipelines.
Search Infrastructure & Platform
Service Ownership: Accountable for a portfolio of production services including submission endpoints, inference pipelines, APIs and database layer.
Migrations & Deprecations: Execute in-flight migrations into new advanced pipelines and deprecations of old pipelines without disrupting customer-facing features.
Scalability & Performance: Drive large-org optimizations, inference engine stability, gRPC load balancing, and connection-hardening work to keep the pipeline healthy as the fleet grows.
Reliability & Quality
On-Call & Incident Response: Own the team on-call rotation, post-mortem quality, and the new programs required to scale the team.
Test Coverage: Expand integration test coverage and search pipeline change testing to catch regressions before they reach production.
Telemetry & Dashboards: Define and track the metrics that matter (e.g. API latency, search quality, inference stability, field reliability, etc.) via dashboards and service SLOs.
What You Bring
7+ years of software engineering experience, including 2+ years managing backend or ML engineering teams.
Track record leading 5+ engineers running production services at meaningful scale.
4+ years of hands-on experience in at least two of: information retrieval, vector / embeddings-based search, computer vision, or large-scale recommendation systems.
2+ years productionizing modern LLMs, VLMs, or agentic systems (evals, guardrails, latency/cost tuning).
Deep proficiency in Python plus Go/Java/C++; fluent in distributed systems (gRPC, Kafka) and a major cloud provider (AWS preferred). Hands-on with at least one production vector database or search engine (OpenSearch, Turbopuffer, FAISS, Milvus, pgvector, etc.).
Strong operational instincts: on-call ownership, post-mortem rigor, and a habit of defining metrics and building evals to drive quality on high-availability services.
Nice to Haves
Experience integrating foundation models via open-source GPU inference stacks.
Familiarity with face recognition, person re-identification, LPR, or similar fine-grained CV pipelines.
Background in physical security, video surveillance, or IoT/connected-device domains.
CI/CD experience for ML/search services.
US Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
Nationwide medical, vision and dental coverage
Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
Expanded mental health support
Paid parental leave policy & fertility benefits
Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
Professional development stipend
Fertility Stipend
Wellness/fitness benefits
Healthy lunches provided daily
Commuter benefits
Additional Information
We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.
Annual Pay Range
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs)
Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).
Estimated Annual Pay Range
$200,000 — $315,000 USD
Verkada Is An Equal Opportunity Employer
As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
Your application will be handled in accordance with our Candidate Privacy Policy .