Machine Learning Engineer

Details of the offer

Job Title: Machine Learning Engineer
About Us: UnitX is building the world's best robotics product to accelerate human productivity in manufacturing.
UnitX is a fast-moving startup with a team from Stanford and Google.
Since inception, UnitX has deployed 500+ mission-critical systems across 95 of the world's leading manufacturers' production lines.
Every year, $2.8B dollar worth of products go through UnitX AI inspection system to ensure quality.
Join us for the rare opportunity to work on computer-vision-driven products that go beyond the state of the art and that improve global manufacturing efficiency.
What You'll Do: You will develop new algorithms that consume raw sensor data input to detect defect segmentation and location information on high-resolution images or 3D inputs, with pixel-level precision.
You will engineer software that runs on the production line 24/7 to efficiently execute our algorithms in real time with each decision made under 20ms.
You will develop metrics and tools to evaluate various model performance and improve visibility and interpretation of our system.
You will explore new solutions and push the boundaries of the field including using Stable Diffusion, SAM and build applications for critical missions in the manufacture fields.
Who You Are: Bachelor's degree in Computer Science, Mathematics, Physics, or a relevant technical field, or equivalent practical experience.
Solid foundational and applied math knowledge.
2+ years of experience in building machine learning models for computer vision in production.
Strong theoretical background and practical experience in Deep Learning, with proficiency in PyTorch or Tensorflow.
Excellent Python skills for writing efficient and maintainable solutions in large code bases.
Strong communication and decision-making skills.
Ability to explain the rationale behind experiments and make decisions to balance exploration and exploitation.
Resilience in uncertain and complex environments.
Preferred Qualifications: Master's degree in Computer Science, Mathematics, Physics, or a relevant technical field.
Experience with model inference optimization
Experience with non-ML CV algorithms
Compensation & Benefits $160,000 - 200,000 + equity
Full Medical, Dental, Vision, 401k
Unlimited PTO
Daily meals provided

#J-18808-Ljbffr


Nominal Salary: To be agreed

Source: Jobleads

Requirements

Backend Engineer, Developer Sdks, Golang Expert

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - u...


Rollbar, Inc. - California

Published 6 days ago

Senior Software Engineer - Containers And Platform

By making evidence the heart of security, we help customers stay ahead of ever-changing cyber-attacks. Corelight is a distributed first cybersecurity startup...


Job Board - California

Published 6 days ago

Software Engineer, Infrastructure

Why HarveyHarvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. Harvey uses a...


Harvey.Ai - California

Published 6 days ago

Senior Software Engineer- Reliability

Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyo...


Luma Ai - California

Published 6 days ago

Built at: 2025-01-22T04:51:06.625Z