Senior, ML Engineer - VLM

This is a Fully Remote Job
1. About Our Client:
The organization is a leader in autonomous vehicle technology with a focus on developing software for automated trucks to transform freight transportation. Operating within the autonomous driving industry since 2007, it has partnered with experienced firms and is now part of a larger automotive group. The company is advancing toward next-generation Vision-Language-Action (VLA) models that integrate perception, reasoning, and action directly from sensor data, emphasizing the collection and curation of high-quality, semantically rich training datasets to support this development.
2. About the Opportunity:
The Senior, ML Engineer - VLM will lead the development and management of cloud-based data pipelines that convert multi-sensor fleet data into training datasets for advanced VLM/VLA models. This role is critical in ensuring the quality, accuracy, and continuous delivery of data that underpins the organization''s autonomous driving software. The position involves collaboration with model developers, mentorship of engineers, and driving alignment across teams to maintain high standards and operational efficiency.
3. Responsibilities:
Design, implement, test, and deploy pipelines converting multi-sensor data into annotated training datasets.
Develop open-vocabulary detection and semantic enrichment tools to automate labeling and reduce manual effort.
Generate language-grounded reasoning labels aligned with vehicle motion and trajectories.
Identify and curate rare and complex driving scenarios to improve model performance.
Define dataset schemas, quality metrics, and validation processes to maintain data standards.
Collaborate with model teams to co-define dataset specifications and integrate continuous data delivery.
Build scalable distributed pipelines using cloud infrastructure and maintain rigorous software practices.
Lead projects, mentor engineers, conduct design reviews, and establish coding and annotation standards.
Stay informed on advances in multimodal models and autonomous driving to incorporate relevant research.
4. Requirements:
Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or related field with 6+ years experience; or Master’s degree with 3+ years.
Expertise in computer vision and deep learning, including model training and techniques such as 2D/3D detection, tracking, sensor fusion, semantic segmentation, or depth estimation.
Experience with multimodal and vision-language models, including open-vocabulary recognition and semantic embeddings.
Proficiency in building targeted datasets that enhance model outcomes and handling large-scale data processing (e.g., Parquet).
Familiarity with distributed ML and data frameworks such as PyTorch, Lightning, Ray, or Spark.
Knowledge of MLOps tools and practices including experiment tracking, model registry, and evaluation metrics.
Strong Python development skills, experience with cloud environments, CI systems, and containerization (Docker).
5. Pay Range and Compensation Package:
The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.
Equal Opportunity Statement:
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Work arrangement
Yes