Latitude AI
Senior Data Scientist, Autonomy Systems
Latitude AI, Palo Alto, California, United States, 94306
Latitude AI (lat.ai) is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.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 making a real, positive impact on the driving experience for millions of people.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.Meet the team:
The Latitude AI Systems Engineering team brings all the components of the autonomy stack together. We work very closely with the software teams to verify all of the functions of the autonomy stack from sensing and perception through prediction and motion planning. Our team's primary deliverable is a Safety Case based on real-world testing that is inherently data driven and statistical in nature.We are looking for a highly skilled Data Scientist to join our Autonomy Systems engineering team.
The team is responsible for defining all of the requirements and verification approaches for the functions of the autonomy stack and for the vehicle as a whole. You will work closely with autonomy engineers, systems engineers, and safety engineers to develop models and metrics to quantify the performance of our autonomy system. You will also develop the key performance metrics used in the development of new features to pinpoint any regressions before they hit the vehicle.What you'll do:
Derive novel and innovative data science, and statistical modeling solutions for applications within autonomous drivingDevelop statistical risk models for autonomous driving in complex environments, including perception, prediction and other machine learned componentsDevelop models that characterize how noise and variability in an autonomy function impacts downstream functionsInject perception and prediction noise in simulation to demonstrate downstream robustness to upstream in range noiseDefine autonomy metrics that measure the impact of new features on the autonomy stack and improve its overall performanceDevelop the safety case argumentation from a statistical perspectivePresent results and insights to executive leadershipWhat you'll need to succeed:
Degree in Engineering, Computer Science, Statistics, Mathematics, or a related field (PhD or Master strongly preferred)At a minimum, Bachelor's degree and 4+ years of experience in a data science or related field, Master's degree and 2+ years of relevant experienceAbility to interpret data in the presence of ambiguity (e.g., confounding factors, data sparsity, Data quality, etc.)Strong background in statistical risk modeling and analysis for safety critical applicationsCreativity and adaptability regarding data science approaches that provide safety case argumentation for an Autonomous VehicleExperience with robotics and machine learningExperience designing metrics and forecasting system performanceProficient with large-scale data analysisProficient with PythonProficient with SQL, DBT, and related database technologiesAbility to work independently and collaboratively with cross-functional teamsStrong communication and presentation skillsNice to have:
Experience in autonomous driving systemsExperience in System Verification and ValidationKnowledge of perception, prediction, motion planning, and/or computer visionExperience with simulation and resimulationWhat we offer you:
Competitive compensation packagesHigh-quality individual and family medical, dental, and vision insuranceHealth savings account with available employer matchEmployer-matched 401(k) retirement plan with immediate vestingEmployer-paid group term life insurance and the option to elect voluntary life insurancePaid parental leavePaid medical leaveUnlimited vacation15 paid holidaysComplimentary daily lunches, beverages, and snacks for onsite employeesPre-tax spending accounts for healthcare and dependent care expensesPre-tax commuter benefitsMonthly wellness stipendAdoption/Surrogacy support programBackup child and elder care programProfessional development reimbursementEmployee assistance programDiscounted programs that include legal services, identity theft protection, pet insurance, and moreCompany and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiativesLearn more about Latitude's team, mission and career opportunities at lat.ai!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.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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all dedicated to making a real, positive impact on the driving experience for millions of people.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.Meet the team:
The Latitude AI Systems Engineering team brings all the components of the autonomy stack together. We work very closely with the software teams to verify all of the functions of the autonomy stack from sensing and perception through prediction and motion planning. Our team's primary deliverable is a Safety Case based on real-world testing that is inherently data driven and statistical in nature.We are looking for a highly skilled Data Scientist to join our Autonomy Systems engineering team.
The team is responsible for defining all of the requirements and verification approaches for the functions of the autonomy stack and for the vehicle as a whole. You will work closely with autonomy engineers, systems engineers, and safety engineers to develop models and metrics to quantify the performance of our autonomy system. You will also develop the key performance metrics used in the development of new features to pinpoint any regressions before they hit the vehicle.What you'll do:
Derive novel and innovative data science, and statistical modeling solutions for applications within autonomous drivingDevelop statistical risk models for autonomous driving in complex environments, including perception, prediction and other machine learned componentsDevelop models that characterize how noise and variability in an autonomy function impacts downstream functionsInject perception and prediction noise in simulation to demonstrate downstream robustness to upstream in range noiseDefine autonomy metrics that measure the impact of new features on the autonomy stack and improve its overall performanceDevelop the safety case argumentation from a statistical perspectivePresent results and insights to executive leadershipWhat you'll need to succeed:
Degree in Engineering, Computer Science, Statistics, Mathematics, or a related field (PhD or Master strongly preferred)At a minimum, Bachelor's degree and 4+ years of experience in a data science or related field, Master's degree and 2+ years of relevant experienceAbility to interpret data in the presence of ambiguity (e.g., confounding factors, data sparsity, Data quality, etc.)Strong background in statistical risk modeling and analysis for safety critical applicationsCreativity and adaptability regarding data science approaches that provide safety case argumentation for an Autonomous VehicleExperience with robotics and machine learningExperience designing metrics and forecasting system performanceProficient with large-scale data analysisProficient with PythonProficient with SQL, DBT, and related database technologiesAbility to work independently and collaboratively with cross-functional teamsStrong communication and presentation skillsNice to have:
Experience in autonomous driving systemsExperience in System Verification and ValidationKnowledge of perception, prediction, motion planning, and/or computer visionExperience with simulation and resimulationWhat we offer you:
Competitive compensation packagesHigh-quality individual and family medical, dental, and vision insuranceHealth savings account with available employer matchEmployer-matched 401(k) retirement plan with immediate vestingEmployer-paid group term life insurance and the option to elect voluntary life insurancePaid parental leavePaid medical leaveUnlimited vacation15 paid holidaysComplimentary daily lunches, beverages, and snacks for onsite employeesPre-tax spending accounts for healthcare and dependent care expensesPre-tax commuter benefitsMonthly wellness stipendAdoption/Surrogacy support programBackup child and elder care programProfessional development reimbursementEmployee assistance programDiscounted programs that include legal services, identity theft protection, pet insurance, and moreCompany and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiativesLearn more about Latitude's team, mission and career opportunities at lat.ai!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.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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