Latitude AI
Senior Engineering Manager - Scalable Machine Learning
$253K–$380K
Dearborn, Michigan, United States, Palo Alto, California, United States, Pittsburgh, PA, United States, Remote +4 · Remote · Manager · Full-time · Posted Oct 6, 2026
- Location
- Dearborn, Michigan, United States, Palo Alto, California, United States, Pittsburgh, PA, United States, Remote
Dearborn, Michigan, United States
Palo Alto, California, United States
Pittsburgh, PA, United States
Remote - Experience
- 10 years of software development, including at least 5 years in a Staff/Principal engineering or senior technical leadership role; alternatively, the education requirement specifies a Bachelor’s and 10 years’ experience or a Master’s and 8 years’ experience.
- Education
- Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field. A Master’s or PhD in a related field is optional.
- Visa sponsorship
- Candidates must be legally authorized to work in the United States on a permanent basis; visa sponsorship is available.
About the job
Manages the Scalable ML team and sets cross-team technical strategy for data generation, orchestration, and distributed training infrastructure supporting machine learning at scale.
What you'll do
- Lead and mentor software engineers while setting high technical and reliability standards.
- Define multi-quarter strategy for ML data and training infrastructure, coordinating with adjacent platform teams.
- Drive MLOps practices and resolve shared-infrastructure tradeoffs across GPU scheduling, orchestration, storage, and compute costs.
What they ask for
- Bachelor’s degree and 10 years of experience, or a Master’s degree and 8 years of experience, in a relevant field.
- At least 10 years of software development experience, including 5 years in Staff/Principal engineering or senior technical leadership.
- Experience setting technical direction across teams and delivering complex multi-organization software initiatives.
- Expertise in distributed ML systems, ML data pipelines, and strong proficiency in Python.
Nice to have
- Hands-on experience with Ray, PyTorch, Dagster, LakeFS, or PyArrow.
- Experience in multi-sensor data fusion, safety-critical development, or autonomous driving ML.
Pay
$253,120 - $379,680 USD (base salary)
Tools
Python, Ray, PyTorch, Dagster, LakeFS, PyArrow
AI focus
Builds scalable machine-learning data generation, orchestration, and distributed training infrastructure; drives MLOps practices such as artifact management, experiment tracking, and automated deployment and testing.
Model-written summary · the original posting is authoritative