2026 Compensation Benchmark • Data & AI • +28.4% YoY

ML Platform / MLOps Engineer Salary Bands & Trajectory

Architects GPU cluster orchestration, distributed model training pipelines, LLM inference serving, and feature stores.

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ML Platform / MLOps Engineer Leveling & Total Comp Matrix

Base salary percentiles, target annual bonus, annual equity grant, and median total compensation across 5 career levels.

Level Title & Experience 25th %ile Base Median Base (P50) 75th %ile Base 90th %ile Base Bonus / Equity Median Total Comp
L3 Junior ML Platform Engineer
0 - 2 Years
$105,000 $122,000 $142,000 $162,000 10% / $25,000 $159,200
L4 Mid-Level MLOps Engineer
2 - 5 Years
$145,000 $168,000 $195,000 $220,000 12% / $55,000 $243,160
L5 Senior ML Platform Engineer
5 - 8 Years
$185,000 $215,000 $250,000 $290,000 15% / $110,000 $357,250
L6 Staff ML Infrastructure Architect
8 - 12+ Years
$235,000 $275,000 $325,000 $385,000 20% / $210,000 $540,000
L7 Principal AI Infrastructure Fellow
12+ Years
$295,000 $345,000 $410,000 $495,000 25% / $380,000 $811,250

Scope, Competencies & Promotion Criteria

L3 · 0 - 2 Years Median Base: $122,000

Junior ML Platform Engineer

Maintains containerized training jobs, model registries, and inference telemetry pipelines under senior guidance.

Python & PyTorchDocker & KubernetesCI/CD PipelinesWeights & Biases / MLflow
L4 · 2 - 5 Years Median Base: $168,000

Mid-Level MLOps Engineer

Owns production LLM/ML serving infrastructure, autoscaling GPU pools, and low-latency quantization pipelines.

vLLM / TensorRT-LLMRay / KubeflowTerraform & AWS/GCP GPULatency & Cost Telemetry
L5 · 5 - 8 Years Median Base: $215,000

Senior ML Platform Engineer

Designs multi-region AI infrastructure, Slurm/K8s cluster scheduling, and reliability SLAs for mission-critical models.

Distributed Training (FSDP/DeepSpeed)Multi-Region InferenceCustom K8s OperatorsCapacity Planning
L6 · 8 - 12+ Years Median Base: $275,000

Staff ML Infrastructure Architect

Sets company-wide AI compute architecture, negotiates multi-million-dollar GPU capacity, and shapes ML platform strategy.

Enterprise AI Compute StrategyNCCL & RDMA NetworkingOrg-Wide Platform GovernanceVendor Negotiation
L7 · 12+ Years Median Base: $345,000

Principal AI Infrastructure Fellow

Defines frontier cluster architecture, custom kernel acceleration, and multi-year AI infrastructure differentiation.

Custom CUDA / Triton KernelsFrontier Cluster ArchitectureExecutive & Board Advisory

Frequently Asked Questions

What is the median ML Platform / MLOps Engineer salary in 2026?

Across 5 career levels, median ML Platform / MLOps Engineer base salary ranges from $122,000 at L3 (0 - 2 Years) to $345,000 at L7 (12+ Years), with annual total compensation reaching $811,250+.

How fast are ML Platform / MLOps Engineer salaries growing?

Current 2026 market demand for ML Platform / MLOps Engineer is tracking at +28.4% YoY YoY across top specialties including GPU Cluster & CUDA Ops, LLM Inference Serving, Feature Stores & Ray, ML CI/CD & Evals.

How can I model my 5-year ML Platform / MLOps Engineer compensation trajectory?

Launch the interactive SalaryPathGuide 5-Year Trajectory Calculator pre-loaded with ML Platform / MLOps Engineer benchmarks to customize annual raises, promotion cycles, RSU vesting, and FIRE wealth projections.

ML Platform / MLOps Engineer Salaries by Metro (2026)

San Francisco (100% Band) New York City (100% Band) Seattle (100% Band) Austin (90% Band) Denver (82% Band) London (74% Band)

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