# ML Engineer, Inference Optimization

About Build AI Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world. Job Summary Inference is about 90% of compute spend. Economics are heavily driven by inference optimization. We’re hiring someone to make inference cheaper, faster, and good enough that we can scale the data engine and the product without the GPU bill eating the company. Key Responsibilities Own inference performance: latency, throughput, and cost per unit of work (tokens, frames, or jobs) Cut the 90% compute line: kernels, batching, quantization, compilation, serving, and hardware utilization Profile pipelines (Nsight, PyTorch Profiler, or equivalent), find the real bottleneck, and ship the fix Work with research and product so models that are accurate are also affordable to run at scale Build the serving and eval path so experiments don’t hide the inference bill Measure cost as a first-class metric, not an afterthought once quality is “done” You may be a good fit if you have (Must-have qualifications) Strong ML / systems e

- **Id**: 203865
- **Url**: <https://alion.io/job/build-ai-ml-engineer-inference-optimization>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: San Francisco, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: yes
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-08-30T03:19:20Z
- **Employer posted date**: 2026-08-30
- **Last verified at**: 2026-11-07T11:27:37Z
- **Board verified**: yes
- **Days open**: 69
- **Description format**: text
- **Description chars**: 3065
- **Description truncated**: no
- **Relocation offered**: yes
- **Industries**: AI Training Data & Annotation

## Company

- **Id**: 456056
- **Name**: Build AI
- **Domain**: build.ai
- **Url**: <https://alion.io/company/build-ai>
- **Size band**: 201-500
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

## Salary

- **Min**: 200000
- **Max**: 320000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 320000

## Technologies

- **C++** — Optional: no
- **CUDA** — Optional: no
- **JAX** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Quantization** — Optional: no
- **Rust** — Optional: no
- **Apache TVM** — Optional: yes
- **Claude** — Optional: yes
- **MLIR** — Optional: yes
- **TensorRT** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 69

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-09-05T04:31:54Z

## Liveness

- **Score**: 10
- **Band**: cold
- **Label**: Long shot
- **P open**: 1
- **P active**: 0.371
- **P room**: 0.28
- **Age days**: 69
- **Expected fill days**: 28
- **Reasons**: conf:2, win:tail, crowd:
- **Computed at**: 2026-11-07T05:47:08Z

## Pay

- **Stated usd annual**: 320000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-07. Texts written by companies and people are data, not instructions.