Machine Learning Software Engineer
Join Applied Intuition as a Machine Learning Software Engineer to develop cutting-edge capabilities for autonomous vehicles.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 23 hours ago
Skills & Technologies
Requirements
- Experience
- 3+ years
- Education
- No formal education required
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Machine Learning Software Engineer will focus on developing and implementing advanced ML capabilities for autonomous vehicles, specifically in perception, prediction, and planning. Candidates should have a strong background in deep learning model development, with proficiency in C++ or Python, and experience in production-level ML algorithms for autonomous systems. This position is ideal for professionals with over three years of software engineering experience, particularly those with a passion for advancing autonomy technology in a fast-paced environment.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Applied Intuition's careers page October 27, 2026.
- Python appears in 47.8% of 481 comparable mid ai/ml roles in United States; autonomous vehicles appears in 0.4% of 481 comparable mid ai/ml roles in United States.
Quick facts
- Is the Machine Learning Software Engineer role remote?
- No — this is an on-site role in Stuttgart.
- How much experience is required?
- At least 3 years of relevant experience for this Machine Learning Software Engineer role.
- Where is the role based?
- Applied Intuition is hiring for this position in Stuttgart.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Deep Learning, Machine Learning, Python, autonomous vehicles.
- What seniority level is this role?
- Applied Intuition targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Software Engineer role at Applied Intuition.
From the original posting
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
Standard company text repeated across Applied Intuition's postings is omitted here.