Applied Intuition
Machine Learning Engineer - Sensor Simulation
Applied Intuition, Mountain View, California, us, 94039
About the role
We are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras. While experience in machine learning is required, candidates with a background in perception or other relevant physics or graphics fields are encouraged to apply.At Applied Intuition, you will:
Drive research and development of incorporation of generative and other machine learning techniques into our sensor simulator.Work closely with rendering and physics-based modeling teams in building novel approaches fusing the best of all techniques.Focus on projects with clear path to production value and customer impact.We’re looking for someone who has:
3+ years of experience building software components or (sub) systems that address real-world machine learning challenges.A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems.Hands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or common AI libraries.Deep understanding of machine learning foundations who can apply various techniques to new problems.Experience working with production level ML and DL perception algorithms.Nice to have:
Experience working with Lidar, Radar, or Camera data using modern approaches to perception.MSc or PhD in computer science with a focus on artificial intelligence or closely related field.Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, deep learning, generative modeling, distributed systems.Experience building and shipping software frameworks or tools.Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is:
$ 125,000 - $222,000
USD annually.
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We are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras. While experience in machine learning is required, candidates with a background in perception or other relevant physics or graphics fields are encouraged to apply.At Applied Intuition, you will:
Drive research and development of incorporation of generative and other machine learning techniques into our sensor simulator.Work closely with rendering and physics-based modeling teams in building novel approaches fusing the best of all techniques.Focus on projects with clear path to production value and customer impact.We’re looking for someone who has:
3+ years of experience building software components or (sub) systems that address real-world machine learning challenges.A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems.Hands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or common AI libraries.Deep understanding of machine learning foundations who can apply various techniques to new problems.Experience working with production level ML and DL perception algorithms.Nice to have:
Experience working with Lidar, Radar, or Camera data using modern approaches to perception.MSc or PhD in computer science with a focus on artificial intelligence or closely related field.Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, deep learning, generative modeling, distributed systems.Experience building and shipping software frameworks or tools.Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is:
$ 125,000 - $222,000
USD annually.
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