Machine Learning Software Engineer

About Applied Intuition

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.

About The Role

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

We're Looking For Someone Who Has

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

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

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.