Computer Vision & Robotics Intern
About the job
- Currently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field.
- Have hands-on experience in computer vision, machine learning, or robotics, and comfort working with Python.
- Have an interest in computer vision and physical AI, with the ability to learn quickly, debug problems, build, and take ownership.
- Build and improve computer vision pipelines for detection, classification, tracking, and temporal understanding.
- Test first-person perception in challenging conditions, including camera motion, occlusion, motion blur, and changing lighting.
- Work with synthetic and real-world data to identify failure cases and improve model performance.
- Train, evaluate, and debug vision models using PyTorch.
- Explore geometric vision, calibration, localization, pose estimation, and 3D perception.
- Optimize models for low-latency inference and edge deployment.
- Build evaluation tools and support deployments to assess performance in real factory environments.
- Experience with PyTorch, OpenCV, object detection, tracking, synthetic data, SLAM or VIO, 3D vision, CUDA or TensorRT, ROS2, or NVIDIA Jetson is helpful.
About the company
Clera connects professionals with roles at venture-backed startups through an AI career agent that learns their experience, preferences and goals. It focuses on introductions to founders and hiring managers instead of sending candidates into a conventional job application queue. The agent matches profiles to suitable roles, explains the fit and assists with interview preparation and salary negotiation, while employers use a dashboard to review talent and request introductions. Candidates use the service free, and employers pay recruitment fees based on the hired person's first-year base salary. Clera was founded in 2025 and is based in San Francisco.
Company Size
11-50
Company Stage
Seed
Total Funding
$3M
Headquarters
San Francisco, California
Founded
2025
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Simplify's Take
What believers are saying
- Early sales validate demand: founders reported over $1 million in annualized revenue in May 2026.
- Engineers gain broad ownership: Clera's small engineering team owns product slices end to end.
- Clera has real hiring outcomes: Bluealpha's CEO says it recruited two founding engineers for his startup.
What critics are saying
- Customer commitments stay short: Clera lets employers start and stop without monthly fees or long-term contracts.
- Expect six office days: Clera's founding AI engineer role requires working in its San Francisco hacker house.
- Core models belong to outsiders: Clera improves prompts and retrieval while Anthropic, OpenAI and Google supply its language models.
What makes Clera unique
- Clera meets candidates in familiar apps: its agent runs through WhatsApp, iMessage, LinkedIn, Slack and web chat.
- Recruiters work inside AI assistants: Clera's connector searches candidates and requests introductions from ChatGPT, Claude and Cursor.
- Clera publishes its production tools: its open repositories manage background tasks, search clusters and outbound email.
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Benefits
Company Equity
Flexible Work Hours
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 10%1 year growth
↑ 10%2 year growth
↑ 23%Clera, a San Francisco-based startup, has launched an AI talent agent that represents job candidates and has raised $3 million in pre-seed funding led by 1984 Ventures. The platform introduces professionals directly to hiring managers at venture-backed startups via email, iMessage and WhatsApp, bypassing traditional application processes. Within months of launching, Clera has surpassed $1 million in annualised revenue and represents over 80,000 professionals across the US and Europe. The AI agent scouts opportunities across more than 600 venture-backed startups, matching candidates with roles based on their career goals and preferences. Unlike most recruitment AI tools that serve employers, Clera focuses on candidate representation, targeting the 70% of professionals who are passively open to opportunities but unwilling to enter conventional application funnels.