Xaira Therapeutics
Lab Automation - Vision AI Engineer Intern
South San Francisco, California, United States · Intern · Internship
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($10,000) is below the Level I prevailing wage of $137,093. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- You will work closely with experienced AI and automation engineers and receive hands-on mentorship while contributing to production systems used in cutting-edge biotechnology research.
- Benchmark computer vision, vision-language, and multimodal AI models for accuracy, robustness, inference latency, and deployment cost.
- Evaluate approaches for generalized object detection, object relationships, affordance recognition, and intention inference in laboratory environments.
Responsibilities
- Design and develop an AI-driven state-machine architecture that orchestrates perception, reasoning, planning, and downstream task execution for autonomous laboratory workflows.
- Develop generalized scene understanding and spatial reasoning pipelines that minimize object-specific model training.
- Build scalable inference pipelines optimized for edge GPUs and cloud deployment.
- Develop synthetic and augmented datasets using simulation platforms to improve model robustness and generalization.
- Design benchmarking frameworks for evaluating perception models across diverse laboratory scenarios.
- Collaborate with automation and robotics engineers to integrate perception systems into autonomous laboratory workflows.
- Document model performance, deployment strategies, and architectural recommendations.
- Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.
- Our goal to build a diverse and inclusive team began on day one, and it will never end.
- Opportunity to build AI systems deployed on real robotic platforms operating in cutting-edge biotechnology laboratories.
Requirements
- Experience evaluating, training, or fine-tuning AI models.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Robotics, or a related field.
- Strong software engineering skills in one or more modern programming languages (e.g., Python, C++, C#), with experience developing AI applications, cloud-based workflows, and production software systems.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience developing computer vision or multimodal AI projects through coursework, research, internships, or personal projects.
- Familiarity with object detection, segmentation, tracking, vision-language models, or scene understanding.
- Strong curiosity for embodied AI, spatial reasoning, and real-world AI deployment.
Nice to have
- Experience with simulation platforms for synthetic or augmented data generation (Isaac Sim, Blender, MuJoCo, Unity, Habitat, etc.).
- Experience with foundation models, multimodal AI, LLMs, or agentic AI frameworks.
- Experience with agentic AI frameworks (LangGraph, OpenAI Agents SDK, AutoGen, PydanticAI), Model Context Protocol (MCP), or AI systems that integrate language models with external tools and software.
- Familiarity with ROS2, MoveIt, SLAM, Foxglove, or robotics software stacks.
- Experience deploying AI models on GPU edge devices (TensorRT, CUDA, ONNX).
- Experience with laboratory automation or scientific instrumentation.
- Access to world-class scientists, advanced robotics platforms, and modern AI infrastructure.
- Opportunity to contribute to the next generation of Physical AI for scientific discovery.
Skills
- About Xaira Therapeutics
- Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development.
- Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development.
- Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
Compensation
- $10,000 - $13,000 per month
Benefits
- Close mentorship from experienced AI, computer vision, robotics, and automation engineers.
- Hands-on experience with state-of-the-art vision models, multimodal AI, robotics, GPU computing, and laboratory automation.
- Design and evaluate AI architectures that combine computer vision, LLMs, and downstream task execution.
Company info
- We are building a next-generation Vision AI platform that enables autonomous laboratory systems to understand, reason about, and interact with complex scientific environments.
- Rather than training a new model for every instrument, we are building an AI reasoning layer that combines computer vision, multimodal AI, and intelligent workflow orchestration to create scalable laboratory autonomy.
This listing is sourced directly from Xaira Therapeutics's careers page and normalized into a canonical job model.