ML Engineering Manager @ Applied Intuition | Jobright.ai
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Applied Intuition · 2 days ago

ML Engineering Manager

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Autonomous VehiclesEnterprise Software
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Responsibilities

Build a category-leading set of data products
Manage a team of talented software engineers working together to solve real-world data and machine learning challenges in autonomy
Set the technical direction of the team and ensure your team delivers high-quality software
Work directly with top autonomy programs on problems in applied machine learning

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

C++PythonSoftware developmentAutonomy spaceTechnology selectionProject managementMachine learningLeadershipProblem-solvingSensor modalities knowledgePerception tasksCloud systems scalability

Required

A MSc or PhD degree in computer science, robotics or related fields from a top institution
4+ years industry experience in software engineering using C++ or Python
2+ years experience in leading teams with varied backgrounds
Demonstrated experience leading teams in developing cutting-edge software products in the autonomy space
Proven track record of picking the right technologies to invest in, and seeing complex projects through to the finish line
Experience with training ML models and strong ML fundamentals

Preferred

Strong knowledge of common sensor modalities (radar, lidar and cameras) and perception tasks in autonomy
Experience building scalable systems in the cloud

Benefits

Fully vaccinated against COVID-19 upon commencing employment
Reasonable accommodations considered for exemptions to vaccination requirement
Equal opportunity employer and federal contractor or subcontractor

Company

Applied Intuition

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Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale.

H1B Sponsorship

Applied Intuition has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (28)
2022 (20)
2021 (2)
2020 (2)

Funding

Current Stage
Late Stage
Total Funding
$601.5M
Key Investors
General Catalyst
2024-03-11Series E· $250M
2021-11-11Series D· $175M
2020-10-22Series C· $125M

Leadership Team

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Qasar Younis
Co-Founder and CEO
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Peter Ludwig
CTO and Co-founder
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Company data provided by crunchbase
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