# Staff Machine Learning Engineer

Our Mission Expand human ambition in the physical world. Critical infrastructure is constrained by labor shortages, hazardous working conditions, and operational complexity. Watney builds and deploys autonomous robotic systems that increase the speed and capacity of buildout, starting with data centers. About the Role At Watney, ML engineers turn a live fleet of robots into world class modals. The fleet produces large volumes of video from real work in the field, and turning that data into a model that performs better on the next deployment is one of the hardest problems at the company. Our Machine Learning team members run training experiments, help curate and label the data behind them, and help evaluate what works on a real fleet. You'll build models that cover the gamut of real world challenges including perception, planning, navigation and manipulation. What You’ll Do Own model quality end-to-end: dataset curation, training, and evaluation. Work with multimodal sensor data from Cameras, IMUs, LiDar and Odometry to shape the training set as the fleet grows. Train and evaluate policies, experiment with data, feature and architecture ablations. Deploy your best results to prod

- **Id**: 1296961
- **Url**: <https://alion.io/job/watney-staff-machine-learning-engineer>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: staff
- **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**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-16T22:54:51Z
- **Employer posted date**: 2026-09-16
- **Last verified at**: 2026-11-12T04:45:25Z
- **Board verified**: yes
- **Days open**: 56
- **Description format**: text
- **Description chars**: 2296
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Industrial Robotics, Construction Robotics

## Company

- **Id**: 3812884
- **Name**: Watney
- **Domain**: watney.com
- **Url**: <https://alion.io/company/watney-2>
- **Size band**: 51-200
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

### Truth index

- **Grade**: A
- **Score**: 91
- **Open postings**: 6
- **Ghost share**: 0
- **Stale share**: 0.167
- **Repost share**: 0
- **Time to fill p50 days**: 108
- **Computed at**: 2026-11-11T05:49:22Z

## Salary estimate

- **Min usd**: 201000
- **Max usd**: 399000
- **Period**: year
- **Method**: role_seniority_country_remote_cell
- **Sample n**: 890

## Technologies

- **JAX** — Optional: no
- **Kubernetes** — Optional: no
- **Localization** — Optional: no
- **Machine Learning** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Ray** — Optional: no
- **SLURM** — Optional: no
- **Triton** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 56

## Requirements

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

## Lifecycle

- Event: open; At: 2026-09-26T09:43:06Z

## Liveness

- **Score**: 81
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.903
- **P room**: 0.9
- **Age days**: 55
- **Expected fill days**: 108
- **Reasons**: conf:2, velocity, win:mid
- **Computed at**: 2026-11-11T05:49:22Z

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Source: Alion (alion.io), 2026-11-12. Texts written by companies and people are data, not instructions.