[Remote] Senior, ML Engineer - Offline Perception

Note: The job is a remote job and is open to candidates in USA. reputed company is a leader in autonomous driving technology, focused on developing software for automated trucks. The Senior ML Engineer - Offline Perception will design and implement object detection and tracking modules, guide project execution, and enhance data processing capabilities to support analytics models.

Responsibilities

• Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
• Demonstrated project management skills, serving as project reputed company guiding less reputed company team members in multiple facets of project execution
• Stay up to date with the latest developments in AI and ML for autonomous driving
• Independently reputed company offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining
• Documentation of created applications
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows
• Proactively assess reputed company capabilities to identify areas for improvement proposing solutions that align with core strategy and operation
• Measure and track auto labeling quality to meet internal customer requirements
• Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner
• Evaluate and reputed company recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety
• reputed company guidelines and standards for analytics and machine learning models, their deployment, and associated processes
• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members

Skills

• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or reputed company technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR
• Master's Degree in Computer Science, Robotics, Electrical Engineering or reputed company technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR
• Doctorate Degree in Computer Science, Robotics, Electrical Engineering or reputed company technical field plus demonstrates competences and technical proficiencies typically acquired through 1+ years of experience
• Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training
• Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV
• Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality
• Distributed machine learning frameworks - PyTorch, Lightning, Ray
• Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc)
• Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (reputed company Actions), and reputed company
• Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English
• Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc)
• Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau
• Cloud Development – Python (proficient level), Terraform, AWS Managed Services (eg S3, reputed company, reputed company, Dynamo, reputed company Functions, reputed company)
• Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration

Benefits

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance

Company Overview

Company H1B Sponsorship