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Technical Lead, Multimodal Research

eventualcomputingSan FranciscoEngineering
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Salary
$150K – $300K
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
24 Sept 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced applied computer vision or multimodal machine learning professional who wants to lead technical vision in a hands-on capacity based in San Francisco. The Technical Lead, Multimodal Research position at eventualcomputing involves owning the execution of technical strategies for video understanding and running vision models at petabyte scale.

Role Overview

The Technical Lead, Multimodal Research position is a senior individual contributor role at eventualcomputing located in the SF Mission District office. The person in this position will set the research direction and architectural decisions for multimodal video understanding without direct management responsibilities. This role operates four days per week in the office.

Key Responsibilities

Own the modeling strategy across the platform, determining which model families, representations, and training approaches to invest in, prototype, and retire.
Scale approaches from prototypes into production inference, collaborating with data systems and storage teams on index and loader requirements.
Define evaluation standards, including benchmarks and acceptance criteria for models reaching customers.
Manage the cost curve for understanding by making architecture-level decisions on distillation, cascades, routing, and quantization.
Translate customer research needs into scoped technical programs covering taxonomies, model plans, datasets, and quality instrumentation.

Requirements

Five or more years of experience in applied computer vision or multimodal machine learning.
A PhD or MS in computer science, electrical engineering, robotics, or applied mathematics with a computer vision or machine learning focus, or a comparable publication or production record.
Depth in modern vision and multimodal modeling such as VLMs, VQA, embeddings, representation learning, detection, tracking, segmentation, and retrieval.
Experience with hands-on training and evaluation of models at scale on real video and sensor data, spanning PyTorch prototyping and inference performance.
Background from a perception or multimodal team at a self-driving, robotics, or Physical AI company, a frontier research lab, or a visual-data company.

Nice to Have

Publications at venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR.
Experience building or fine-tuning VLMs or other multimodal foundation models.
Expertise in long-form video, temporal reasoning, embeddings, retrieval, or content-aware indexing at scale.
Experience with multimodal sensor data beyond RGB, including lidar, radar, depth, or simulation output.
Background in evaluation frameworks, labeling taxonomies, large-scale annotation programs, or cluster-wide optimization.

Skills and Tools

PyTorch
Vision-Language Models (VLMs)
Visual Question Answering (VQA)
Representation learning and embeddings
Detection, tracking, segmentation, and retrieval
Multimodal sensor data (video, lidar, radar, depth)

Salary and Benefits

Salary range of $150K to $300K with offered equity
Catered lunches and dinners for San Francisco employees
Commuter benefits and team-building events including poker nights
Health, vision, and dental coverage
Flexible paid time off
Latest Apple equipment
401(k) plan with match

About the Company

eventualcomputing was founded in 2022 to address multimodal AI data challenges for physical AI models trained on video, lidar, radar, and sensor data. The company develops an open-source engine called Daft and builds infrastructure for video search and dataset creation. Backed by $30M in funding from investors like Felicis, CRV, Y Combinator, and prominent angels, the team operates out of the San Francisco Mission District.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PyTorchVLMsVQADaftComputer VisionAWSMachine Learning

Questions candidates ask

Is this a management role?

No, this is a senior individual contributor role with no direct reports, focusing on research direction and hands-on technical work.

Where is the job located?

The role requires working four days a week in the company office located in the SF Mission District.

What is the education requirement?

A PhD or MS in computer science, electrical engineering, robotics, or applied mathematics with a focus on computer vision or machine learning is preferred, though a comparable publication or production record is acceptable.

How many years of experience are required?

Candidates must have five or more years of experience in applied computer vision or multimodal machine learning.

What benefits are included?

Benefits include health, vision, and dental coverage, a 401(k) with match, flexible PTO, catered lunches and dinners, commuter benefits, Apple equipment, and equity.

Ready to apply?

The application is on the official eventualcomputing careers page.

Apply on company site