Latitude AI, Pittsburgh, PA, Palo Alto, CA, Detroit, MI +3
The Performance Prediction team builds the data pipelines, machine learning infrastructure, and evaluation systems that help us understand how autonomy behavior evolves from one software release to the next. Our software turns large-scale driving data into clear, trustworthy insights that help teams across Latitude move forward with confidence.
Our work spans the full ML lifecycle, starting with the data. We curate high-quality training and evaluation datasets from real-world and simulated driving, discovering interesting and representative scenarios, labeling them at scale, and organizing them into reusable, well-documented collections. We turn that data into insight, helping engineers understand how the system behaves across a wide variety of driving situations and where the next opportunities lie.
We train and ship a range of learned models, from compact classical models to modern deep learning approaches, and build the metrics, experiment tracking, and tools that engineers across autonomy use every day.
This role is a great fit for a software engineer who enjoys building reliable, well-tested Python systems and takes pride in producing ML results that people can trust. Day to day, the work is a mix of data and ML infrastructure, model development and evaluation, and internal tools used by partner teams.
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
Latitude AI (lat.ai) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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Source: the Latitude AI Greenhouse job board. We last checked this job 3 h ago. We first saw it 6 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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This base pay is above the median for senior ML and AI engineering jobs that are remote in the US.
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