
Machine Learning Engineer – ML Planner
Motional
full-time
Posted on:
Location Type: Remote
Location: Remote • Massachusetts, Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $142,000 - $190,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonPyTorch
About the role
- Designing and training large models for predicting surrounding agents, AV behaviors, and end-to-end planning systems by executing high-value experiments based on collaborative input from other machine learning engineers
- Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
- Timely release of major model updates, including analysis of both off-line and on-road evaluation data
- Staying up to date with the latest trends in our fast-moving industry, and proposing new architectures and network designs
- Maintaining a high-quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation
Requirements
- Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics.
- In-depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer-based architectures, autoregressive decoder architectures etc.
- Experience designing, training, and analyzing neural networks/transformer-based models for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, multi-agent predictions.
- Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods
- Knowledge or course experience of generative models such as VLM, VLA etc.
- Experience with PyTorch or other Python-based deep learning frameworks
- Experience working with large data sets, data curation, and augmentation.
Benefits
- Medical
- Dental
- Vision
- 401k with a company match
- Health saving accounts
- Life insurance
- Pet insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningtransformer-based architecturesneural networksmotion planningobject detectionsensor fusionmotion predictionmulti-object trackingmulti-agent predictions
Soft skills
collaborationcommunicationproblem-solvinganalytical thinkingadaptability
Certifications
Masters in Machine LearningPhD in Machine LearningMasters in Computer SciencePhD in Computer ScienceMasters in Applied MathematicsPhD in Applied MathematicsMasters in StatisticsPhD in Statistics