Latitude AI
Senior Software Engineer - ML Infrastructure
$179K–$269K
Pittsburgh, PA, Palo Alto, CA, Detroit, MI +3 · Remote · Senior · Full-time · Posted Oct 21, 2026
- Location
- Pittsburgh, PA, Palo Alto, CA, Detroit, MI
Palo Alto, California, United States
Pittsburgh, PA, United States
Remote - Experience
- 4+ years of relevant industry experience with a bachelor's degree, or 2+ years with a master's degree.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field; or master's degree as an alternative experience path.
- Visa sponsorship
- Candidates must be legally authorized to work in the United States on a permanent basis; visa sponsorship is available for this position.
About the job
Build and operate ML infrastructure, datasets, models, evaluation systems, and internal tools that help autonomy teams analyze driving behavior across software releases.
What you'll do
- Curate and version training and evaluation datasets from real-world and simulated driving data, and build scalable, reproducible pipelines.
- Train, evaluate, and productionize models; define metrics and run statistically rigorous experiments.
- Develop dashboards and services for exploring results, comparing software versions, and supporting partner teams.
What they ask for
- Strong Python engineering skills building modular, maintainable, well-tested systems.
- Experience building end-to-end ML systems, including data pipelines, dataset curation, training, evaluation, and production.
- Experience designing scalable ML infrastructure, such as training and evaluation pipelines, experiment tracking, model serving, or distributed jobs.
- Solid grounding in statistics and experimental design; bachelor's degree in a related field and 4+ years of relevant industry experience, or master's degree and 2+ years.
Nice to have
- Experience with probabilistic, sequential, or graph-based models, classical methods, calibration, uncertainty estimation, or error analysis.
- Experience with data-centric ML, orchestration, experimentation or internal tooling, large-scale build systems, or autonomous driving and robotics.
Pay
$179,200 - $268,800 USD (base salary)
Tools
Python, SQL, pandas, PyTorch, scikit-learn, Dagster, Airflow, Ray
AI focus
Develop and productionize learned models and ML pipelines for analyzing autonomy behavior using real-world and simulated driving data.
Model-written summary · the original posting is authoritative