AI & ML Engineer

Job not on LinkedIn

🕒 June 24

🇺🇸 United States – Remote

💵 $140k - $185k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Built Robotics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🏗️ Construction

📦 Logistics

🏭 Manufacturing

💰 $64M Series C on 2022-04

Construction • Logistics • Manufacturing

Built Robotics is a company focused on revolutionizing the solar energy construction sector through advanced robotics. Their flagship product, the RPD 35, is a robotic powerhouse designed for utility-scale solar construction, capable of driving solar piles efficiently. Built atop a robust 35-ton excavator frame, the RPD 35 uses AI-powered tools for surveying and deploying solar piles in various soil conditions. The company also provides the Everest cloud-based command center for remote monitoring of robots and the Exosystem, a liquid-cooled supercomputer that powers the robots. Built Robotics aims to enhance safety, performance, and efficiency in solar construction using cutting-edge technology and AI-driven solutions.

📋 Description

• Design and develop edge machine learning systems that improve the autonomy and safety of our construction robots • Build scalable ML infrastructure for model training, validation, deployment, and monitoring • Develop and optimize computer vision and sensor fusion models for construction environments • Analyze large-scale operational datasets to improve model performance and reliability • Improve object recognition, scene understanding, and autonomous decision-making systems • Integrate cloud-based commercial and open-source AI tools into our autonomy stack

🎯 Requirements

• BS, MS, or PhD in computer science, artificial intelligence, machine learning, robotics, or related field • 3+ years of experience building and deploying machine learning systems • Expertise in Python and ML frameworks such as PyTorch or TensorFlow • Experience building distributed ML training systems and data pipelines • Robotics or autonomous systems experience is a plus

🏖️ Benefits

• Competitive salary and equity • 100% employer-sponsored health, dental and vision insurance — for you, your spouse and children • 401(k) with employer matching • Paid holidays and flexible PTO • TSA PreCheck • Gym membership • Free catered lunch and plenty of snacks • A pair of steel-toe boots