Senior Technical Lead, Multimodal AI Research

Mixpeek; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

In‑person SF office

Competitive compensation

Catered lunches and dinners

Commuter benefit

Team‑building events

Health, vision, dental

Flexible PTO

Latest Apple equipment

401(k) plan with match

Job summary

Eventual is hiring a Technical Lead, Multimodal Research to own the execution of the technical vision behind how video data is understood. You will shape model families, representations, and evaluation methods, and prove them in production at petabyte scale with vast datasets including video, lidar, radar, and sensor outputs.

You will set research direction, stay hands-on with papers, models, and experiments, and lead architecture-level decisions while not managing direct reports.

Qualifications

• 5+ years in applied computer vision or multimodal ML.
• PhD or MS in computer science, electrical engineering, robotics, or applied mathematics with a computer vision or machine learning focus.

Responsibilities

• Own modeling strategy across the platform, including model families, representations, and training approaches.
• Take prototype approaches into production inference at corpus scale, coordinating with data systems and storage teams.
• Define the evaluation standard and benchmarks that models must meet before reaching customers.
• Own architecture-level decisions on distillation, cascades, routing, and quantization for large-scale video corpora.
• Translate customer research needs into scoped technical programs and set the technical direction for multimodal work.

Skills

Applied computer vision

Multimodal ML

Vision and multimodal modeling

PyTorch prototyping

Education

PhD or MS in CS/EE/Robotics/Applied Mathematics with CV/ML focus

Tools

PyTorch

Job description

Eventual is hiring a Technical Lead, Multimodal Research to own the execution of the technical vision behind how video data is understood. You will shape model families, representations, and evaluation methods, and prove them in production at petabyte scale with vast datasets including video, lidar, radar, and sensor outputs.

You will set research direction, stay hands-on with papers, models, and experiments, and lead architecture-level decisions while not managing direct reports.