Principal ML Engineer, Multimodal Perception Pretraining
SupportFinity™
San Francisco (CA)
On-site
USD 332,000 - 421,000
Full time
14 days+
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Benefits offered by this job
Annual bonus program
Equity incentive plan
Generous company benefits
Job summary
A leading autonomous driving technology firm in San Francisco is seeking a Principal Software Engineer for their Perception team. The role involves developing sensor-fusion foundation models that enhance the Waymo Driver's understanding of its environment, and collaborating across teams to optimize model performance. The ideal candidate has over 10 years in ML model development, with extensive experience in technical leadership and proficiency in C++ and Python. Attractive salary range and company benefits included.
Qualifications
10+ years of experience in ML model development.
4+ years with large-scale vision or multi-modal foundation model development.
6+ years in ML-driven production systems.
6+ years in a technical leadership role.
Responsibilities
Develop sensor-fusion foundation models for the Waymo Driver.
Solve large-scale, multi-stage training of sensor fusion models.
Develop solutions for frequently updating the models.
Optimize end-to-end latency from model training to deployment.
Drive collaborations between Perception and AI Foundation teams.
Skills
Machine Learning model development
C++ proficiency
Python proficiency
Deep learning toolkits (PyTorch, JAX)
Education
Master’s degree or PhD in Computer Science or related field
Job description
A leading autonomous driving technology firm in San Francisco is seeking a Principal Software Engineer for their Perception team. The role involves developing sensor-fusion foundation models that enhance the Waymo Driver's understanding of its environment, and collaborating across teams to optimize model performance. The ideal candidate has over 10 years in ML model development, with extensive experience in technical leadership and proficiency in C++ and Python. Attractive salary range and company benefits included.