Job Title: Machine Learning Engineer

Company Name: StackAv

Job Url: https://job-boards.greenhouse.io/embed/job_app?for=stackav&jr_id=690e6ec9d046ab6061cfd908&token=4971443007&utm_source=jobright

Job Description: About the Role

We are looking for strong machine learning engineers to help in developing and deploying motion planning components for next generation self-driving systems. This requires strong ownership over critical components that cross domain boundaries. Candidates need to understand, experiment, improve, and field state-of-the-art machine learning systems in real-time, safety-critical applications. We are focused on building a product. Candidates should have a mission-driven mindset and customer-centric obsession to deliver a compelling product, and be able to work with significant cross-functional interactions. You might be a good fit for this role if you have experience with any of the following:

Deploying state of the art ML models or architectures to solve planning problems on fielded products
Refining ML outputs for use in down-stream planning components
Integrating ML-based planning techniques side-by-side with heuristic approaches in production
Building data mining, data introspection, or other critical ML tooling
What Success Looks Like

Responsibilities:

Design, scope, implement, and integrate machine learning systems to solve on-vehicle behavior problems in a real-time, resource-constrained environment. 
Develop tooling and infrastructure necessary to measure and iterate on ML models.
Work closely with systems engineers to ensure a safe, well tested product is delivered.
Work closely with verification teams to ensure proper testing and validation of the motion planning modules.  Make extensive use of unit testing, simulation, and log simulation to properly validate their work.
Collaborate with other autonomy teams including perception, localization, controls, etc. to ensure solutions are appropriate for real-world performance  
Identify bottlenecks and limitations in system performance, and develop novel motion planning components to unlock new capabilities and ensure a reliable system.
Be involved in experimentation, design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.
Experience:

Strong Python skills
Experience with key ML libraries like PyTorch and TensorRT
Experience with cloud orchestration tools like Flyte
Strong written and verbal communications skills