Apply state‑of‑the‑art deep learning techniques to search, curate, and evaluate high‑quality datasets and ground truth for autonomous vehicles.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
Foster collaborative partnerships with researchers and engineers, transforming innovative research into robust, industrial‑strength machine learning models.
Take approaches from initial evaluation and experimentation all the way to shipping.
Define, collect, and curate training and evaluation datasets, focusing on scenario coverage and label quality.
Develop vision‑language models and embeddings for scenario search, classification, and automated data curation.
Requirements
PhD in Computer Science
MS in Computer Science
Nice to have: background applying latest AI methods to solve computer vision and autonomous vehicle problems
Nice to have: experience with vision‑language models
Apply state‑of‑the‑art deep learning and computer vision techniques to curate high‑quality datasets and ground truth for autonomous vehicle perception, prediction, planning and control.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
Foster collaborative partnerships with researchers and engineers, transforming innovative research into robust, industrial‑strength machine learning models.
Take approaches from initial evaluation and experimentation all the way to shipping.
Define, collect, and curate training and evaluation datasets, focusing on scenario coverage and label quality.
Develop vision‑language models and embeddings for scenario search, classification, and automated data curation.
Requirements
PhD in Computer Science, Computer Engineering, or related field
MS in Computer Science, Computer Engineering, or related field
Partner with cross‑functional teams to deliver AI‑powered products that transform customer interactions and build AI foundation models.
Locations (4)
Cambridge, Massachusetts, United States
McLean, Virginia, United States
New York, New York, United States
San Jose, California, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. Cambridge, MA: $262,500 - $299,600; McLean, VA: $262,500 - $299,600; New York, NY: $286,400 - $326,800; San Jose, CA: $286,400 - $326,800
Responsibilities
Partner with data scientists, software engineers, ML engineers and product managers to deliver AI‑powered products
