Machine Learning Software Engineer

Applied Intuition
Stuttgart, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

C++ (Programming Language) Distributed Systems Python (Programming Language) Linear Programming Machine Learning Computational Geometry Mobile Robots Deep Learning

Job description

We are looking for software engineers with expertise in ML-first perception, prediction or planning for autonomous vehicles or mobile robots. Your contributions will focus on building out key ML capabilities of an autonomous vehicle stack.

In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!

At Applied Intuition, you will:

  • Design and implement capabilities and workflows for cutting-edge real-world perception or planning/prediction systems
  • Leverage established products at Applied Intuition to build the software and infrastructure foundation for our ML developments

Requirements

  • Experience with the end-to-end development cycle of deep learning models
  • Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
  • 3+ years of experience building production software using modern software practices
  • Fluency in C++, or fluency in Python with intermediate experience in C++
  • Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with
  • Experience working with production level ML and DL perception algorithms for autonomous vehicles

Nice to have:

  • MSc or PhD in machine learning, ideally applied to perception, prediction,planning or closely related field
  • Experience building and shipping software frameworks or tools
  • Experience with driver assistance or autonomous driving systems
  • Experience in evaluating and improving system-in-the-loop model performance
  • Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, or distributed systems

Benefits & conditions

  • 30 days of paid vacation per year
  • Daily meal benefits: €19 lunch budget and €19 dinner budget, free breakfast, snacks, and drinks in the office
  • You’ll receive €965 annual learning & development and €580 annual fitness budget
  • Subsidized Wellpass membership, giving you access to thousands of gyms, studios, and wellness facilities across Germany
  • €25 monthly contribution to your Deutschlandticket for regional public transport across Germany
  • Generous parental leave: on top of statutory parental leave

About the company

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.de

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