ML Engineer - Offline Perception - Applied Intuition｜Meet.jobs

About the role

The Autolabeling Team at Applied Intuition builds the system that generates ground truth labels for the world around the self-driving car. You will have access to millions of miles of driving data from a diverse set of sensors to develop complex models and techniques at scale. Improvements deployed to our system can immediately help our customers with their autonomy programs.

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 nascent autonomy industry. We move fast and we 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 is the place for you!

At Applied Intuition, you will:

• Design and implement multi-sensor perception models to enable industry-leading scalable offboard system development
• Develop a collaborative relationship with upstream and downstream teams to facilitate the end-to-end solutions for the corresponding product domains
• Work closely with our infrastructure team to provide the best enterprise software for engineering, testing, and product teams at our customers

We're looking for someone who has:

• Passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
• Three or more years of experience building software components or (sub) systems that address real-world perception challenges
• Hands-on experience with more than one domain relevant software framework or tools, such as middleware, benchmarking suites, data sets and related pipelines, or algorithmic libraries
• Deep understanding of the concepts and methods behind frameworks or libraries
• Experience working with production level ML and DL algorithms

Nice to have:

• MSc or PhD in perception or closely related field
• Computer vision background with modern deep learning techniques
• Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, distributed systems
• Experience building and shipping software frameworks or tools that are used by others than the authors of the framework

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.