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Machine Learning Engineer - Sensor Simulation

appliedintuition · 30+ days ago
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About Applied Intuition

Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and an autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.

Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week.

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. 

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external-facing roles that involve close contact with Company employees or other third parties on the Company's premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Last updated on Aug 26, 2024

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